Prioritizing user stories is a fundamental aspect of agile project management. It involves determining the order in which user stories should be addressed based on their importance, value to the customer, and other relevant criteria. Prioritization ensures that the team focuses on delivering the most critical and valuable features early in the development process
The document describes the key stages in an e-commerce conversion funnel:
1. Acknowledgement - users land on the home or category pages
2. Engagement - users interact with product listing, search, and compare pages
3. Choice - users view product details on individual product pages
4. Purchasing - users add items to their cart and proceed to checkout
5. Retention - users can access their account history and profile to encourage return visits.
The document provides an overview of user stories in agile software development. It discusses the agile manifesto and its focus on individuals, interactions, working software, and responding to change. It then covers what user stories are, how they are written in a "who, what, why" format, and how they provide an alternative to traditional work breakdown structures. It also discusses techniques for writing user stories like modeling user roles and trawling for requirements. The document emphasizes that both functional and non-functional requirements should be considered and that the agile team is responsible for fully understanding requirements.
This document provides an overview of an online shopping system project. The project involves developing a web application using PHP, HTML, JavaScript, and MySQL that allows users to purchase goods and products online from a website. The system would have modules for product and price master maintenance, online transactions via a shopping cart, reporting of orders, deliveries and inventory, and housekeeping of archived data. The goal is to create an e-commerce solution that saves users' time by allowing one-stop online shopping without needing to visit physical stores.
Personalize experience on web understand-implement-evaluate - kumar pritamKumar Pritam
This document discusses personalizing a website's home page experience based on whether users are logged in or anonymous. It recommends the OpenText Web Experience Management platform to deliver personalized content through features like personalization, content targeting, and recommendations. Performance of new content would be measured using analytics tools to track metrics like clicks and conversions. A/B testing and multivariate testing would help determine which content combinations work best by comparing conversion rates between variations. Tag management solutions would also help track interactions with specific elements to identify the most effective content.
The document provides details of a term project final report for developing an eCommerce system for StopNSave convenience stores. It includes an executive summary, revisions made, system architecture design, 8 use scenarios describing key customer and owner tasks, interface structure design, test plan, recommendations and appendices with the original proposal and deliverable. The system will allow online ordering and delivery or pickup of StopNSave's product assortment to expand the customer base and increase sales.
The document provides information about optimizing user flows for Amazon Prime subscriptions and product purchases. It outlines the existing user journeys, which include exploring Prime benefits before subscribing, and searching, adding to cart, and checking out to buy a product. Opportunities to improve the user experience are identified, such as increasing Prime awareness through personalized recommendations, simplifying the subscription process, and enhancing the post-purchase communication. New optimized flows are proposed to address these opportunities at each stage of the intent framework: generate, attract, enhance, and deliver.
The document outlines plans for an online platform that allows customers to customize and purchase laptops, desktops, and servers. It includes sections on vision, product discovery, user personas, journeys, a roadmap, backlog, and lean MVP experiments. The vision is to offer best-in-class customized products and an immersive online experience. User research found customers want help choosing optimal configurations within their budgets. The proposed solution is a platform assisting customers to build, purchase, and receive customized technology products as per their specified configurations.
The document describes the key stages in an e-commerce conversion funnel:
1. Acknowledgement - users land on the home or category pages
2. Engagement - users interact with product listing, search, and compare pages
3. Choice - users view product details on individual product pages
4. Purchasing - users add items to their cart and proceed to checkout
5. Retention - users can access their account history and profile to encourage return visits.
The document provides an overview of user stories in agile software development. It discusses the agile manifesto and its focus on individuals, interactions, working software, and responding to change. It then covers what user stories are, how they are written in a "who, what, why" format, and how they provide an alternative to traditional work breakdown structures. It also discusses techniques for writing user stories like modeling user roles and trawling for requirements. The document emphasizes that both functional and non-functional requirements should be considered and that the agile team is responsible for fully understanding requirements.
This document provides an overview of an online shopping system project. The project involves developing a web application using PHP, HTML, JavaScript, and MySQL that allows users to purchase goods and products online from a website. The system would have modules for product and price master maintenance, online transactions via a shopping cart, reporting of orders, deliveries and inventory, and housekeeping of archived data. The goal is to create an e-commerce solution that saves users' time by allowing one-stop online shopping without needing to visit physical stores.
Personalize experience on web understand-implement-evaluate - kumar pritamKumar Pritam
This document discusses personalizing a website's home page experience based on whether users are logged in or anonymous. It recommends the OpenText Web Experience Management platform to deliver personalized content through features like personalization, content targeting, and recommendations. Performance of new content would be measured using analytics tools to track metrics like clicks and conversions. A/B testing and multivariate testing would help determine which content combinations work best by comparing conversion rates between variations. Tag management solutions would also help track interactions with specific elements to identify the most effective content.
The document provides details of a term project final report for developing an eCommerce system for StopNSave convenience stores. It includes an executive summary, revisions made, system architecture design, 8 use scenarios describing key customer and owner tasks, interface structure design, test plan, recommendations and appendices with the original proposal and deliverable. The system will allow online ordering and delivery or pickup of StopNSave's product assortment to expand the customer base and increase sales.
The document provides information about optimizing user flows for Amazon Prime subscriptions and product purchases. It outlines the existing user journeys, which include exploring Prime benefits before subscribing, and searching, adding to cart, and checking out to buy a product. Opportunities to improve the user experience are identified, such as increasing Prime awareness through personalized recommendations, simplifying the subscription process, and enhancing the post-purchase communication. New optimized flows are proposed to address these opportunities at each stage of the intent framework: generate, attract, enhance, and deliver.
The document outlines plans for an online platform that allows customers to customize and purchase laptops, desktops, and servers. It includes sections on vision, product discovery, user personas, journeys, a roadmap, backlog, and lean MVP experiments. The vision is to offer best-in-class customized products and an immersive online experience. User research found customers want help choosing optimal configurations within their budgets. The proposed solution is a platform assisting customers to build, purchase, and receive customized technology products as per their specified configurations.
An online e-commerce website that also has an admin portal for CRUD operations. It's implemented using Spring Boot, Java, Apache Server, H2 Database. Various features like cart email, token generation for user verification. confirm mail on e-mail. Developed by three Fourth year Computer Science and Engineering Students.
* Team velocity is 24 story points per iteration
* Total backlog size is 256 story points
* To calculate the number of iterations:
- Total backlog size / Team velocity
- 256 / 24 = 10.67 iterations (round up to 11 iterations)
* Adding a 35% buffer to the backlog size:
- Backlog size * (1 + Buffer percentage)
- 256 * (1 + 0.35) = 345.6 story points
* With the buffered backlog size:
- Buffered backlog size / Team velocity
- 345.6 / 24 = 14.4 iterations (round up to 15 iterations)
Therefore, the number of iterations without buffer is 11 and with 35%
This project report discusses the scope of e-retailing in India. The report includes an introduction to e-retailing, which describes the key steps in the e-tailing process. It discusses objectives of the study such as learning about advancements in Indian e-retailing and understanding factors that influence online sales. The report outlines the research methodology, including use of secondary data sources like websites, books and journals. It also acknowledges limitations of the study including its reliance on expressed opinions and a non-representative sample.
E-commerce Checkout Design: Principles, Guidelines & Case Studiesuxviet
This document discusses principles and guidelines for improving e-commerce checkout processes. It covers topics like keeping the checkout process linear, making registration optional, using clear and concise forms, and testing optimizations. Specific guidelines recommended avoiding contextual buttons like "continue", including coupons at checkout, and ensuring the product is clearly shown. Conversion rate optimization techniques like AIDA and reducing risks were also discussed. Case studies of different checkout processes were provided as examples.
Enhancing the User Experience
Allowing customers to search our product catalog effectively
Enhancing this search by allowing our customers to filter products
Providing wish lists for our customers
Generating recommendations for customers based on previous purchases
Informing customers when their desired products are back in stock
Enabling social aspects such as product ratings and reviews from customers
BrightonSEO - Understanding Your Customers with Google AnalyticsDan Peden
This document discusses ways to use Google Analytics to better understand customers, including collecting additional data, analyzing acquisition channels, customer behavior on sites, conversions, and developing a data action strategy. It provides examples of reports and metrics that can provide insights such as assisted conversions, conversion paths, site search, landing pages, and micro and macro conversions. The overall goal is to use analytics to report on data, understand customer journeys more fully, and take action to improve performance.
The document discusses user stories and how they can be used to improve communication between those building software and those wanting the software. It provides examples of well-structured user stories that include a template, acceptance criteria, and details on how specific and granular stories should be. Technical user stories are also discussed, which focus on non-functional requirements like infrastructure and refactoring rather than end-user functionality. The key benefits of user stories are outlined as being short and modifiable, allowing projects to be broken into small increments, and making effort estimation and development planning easier.
Online shopping e commerce website for cloth retail.pptxshubhanshusahu71
The document proposes developing an e-commerce clothing website focusing on key features like browsing, selection, cart management, and secure transactions. It outlines requirements like registration, login, payment modules, and report generation. It also discusses system design including DFD diagrams, use case diagrams, and architectural design. Test cases are proposed to test functionality like user registration, product search, adding to cart, and checkout process. A rough cost estimation of approximately Rs. 5,760,000 is provided based on assumptions about team size and duration. Future enhancements like mobile responsive design are discussed.
This document describes an e-commerce website called VBR Shoopers. The website was created by students at Shri RamSwaroop Memorial University in Lucknow, India for their class project. The website includes pages for products by category, single products, contact information, features, reviews, blogs, search, cart, and user profiles. It aims to allow online shopping 24/7 with low costs and no need for a physical storefront. Potential disadvantages include an inability to examine products in person and requiring an internet connection. The conclusion discusses how the website provides an online version of a shop management system with benefits for both customers and visitors.
Emerging trends in consumer behavior: Consumer behavior in online space. Use of Information technology and AI in consumer profiling and engagement, concept of materialistic vs spiritualistic consumption.
User stories should be goal oriented, written from a single viewpoint, and in active voice. They describe desired functionality and include constraints in notes. Effective user stories follow the INVEST model by being independent, negotiable, valuable, estimable, sized appropriately, and testable. User stories use a template of role, feature, and benefit and include acceptance criteria, assumptions, and dependencies. They should avoid being solely for testing or documentation.
This document proposes creating an e-commerce site for Ghausahar Kalika Minimart Pvt. Ltd. to allow online shopping. Currently, the store only operates physically. The objectives are to allow online customer shopping, maintain product and service details, and manage orders online. Requirements include allowing users to create accounts, view products, add to carts, and place orders. For owners, requirements include managing products, services, orders, and employee details. Implementation tools proposed are HTML, CSS, PHP, MySQL, and JavaScript. The expected outcomes are an online storefront, shopping and ordering capabilities for customers, and administration features for owners.
Subrata Mukherjee gave a presentation on understanding customers through analytics. He discussed identifying different types of customers, both internal and external. Understanding customer motivations and footprints they leave behind is important. Data can be used to transform the customer journey by personalizing content and offers. Publishers can leverage actionable analytics by understanding customers in depth, sending targeted messages, and defining complex customer segments. Doing so requires investing in data management platforms and connecting various systems and vendors while ensuring compliance with privacy laws.
Introduction to Agile
Tools and Techniques for Agile Business Analysts
Creating a Product Vision
Using a Story Map and prioritisation using MOSCOW
Creating a feature list
Determining Customer value
Creating Persona's
User Stories Writing - Codemotion 2013Fabio Armani
Stefano Leli (Freelance) - Fabio Armani (OpenWare)
Scrivere user stories dovrebbe essere facile...almeno in teoria. In realtà nella pratica ci troviamo troppo spesso a combattere con storie vaghe o troppo tecniche, storie che non possono essere testate o addirittura che non portano alcun valore. In questo workshop cercheremo assieme di comprendere la differenza tra requisiti funzionali e User Story, tra User Story e Use Case, mediante dei case study.
User stories writing - Codemotion 2013Stefano Leli
The document provides information on user stories, including what they are, how to write them, and best practices. Some key points:
- A user story is a high-level definition of a requirement written from the user's perspective that provides enough information for developers to estimate effort. It focuses on who needs what and why, not how.
- User stories should follow the INVEST criteria: independent, negotiable, valuable, estimable, sized appropriately, and testable. Acceptance criteria define when a story is complete.
- Epics are large stories that need to be broken down into smaller stories over multiple iterations. Themes group related stories.
- Best practices for writing stories include keeping them
The document presents the details of a group project for a Web and Mobile Technologies class. It discusses the development of a website for a small business called Cellphones2u that is looking to expand online. The presentation covers user requirements, costs associated with developing the site, a storyboard laying out the site structure and features, human-computer interaction issues to consider, and potential benefits of having an e-commerce site. References are provided for topics discussed.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
An online e-commerce website that also has an admin portal for CRUD operations. It's implemented using Spring Boot, Java, Apache Server, H2 Database. Various features like cart email, token generation for user verification. confirm mail on e-mail. Developed by three Fourth year Computer Science and Engineering Students.
* Team velocity is 24 story points per iteration
* Total backlog size is 256 story points
* To calculate the number of iterations:
- Total backlog size / Team velocity
- 256 / 24 = 10.67 iterations (round up to 11 iterations)
* Adding a 35% buffer to the backlog size:
- Backlog size * (1 + Buffer percentage)
- 256 * (1 + 0.35) = 345.6 story points
* With the buffered backlog size:
- Buffered backlog size / Team velocity
- 345.6 / 24 = 14.4 iterations (round up to 15 iterations)
Therefore, the number of iterations without buffer is 11 and with 35%
This project report discusses the scope of e-retailing in India. The report includes an introduction to e-retailing, which describes the key steps in the e-tailing process. It discusses objectives of the study such as learning about advancements in Indian e-retailing and understanding factors that influence online sales. The report outlines the research methodology, including use of secondary data sources like websites, books and journals. It also acknowledges limitations of the study including its reliance on expressed opinions and a non-representative sample.
E-commerce Checkout Design: Principles, Guidelines & Case Studiesuxviet
This document discusses principles and guidelines for improving e-commerce checkout processes. It covers topics like keeping the checkout process linear, making registration optional, using clear and concise forms, and testing optimizations. Specific guidelines recommended avoiding contextual buttons like "continue", including coupons at checkout, and ensuring the product is clearly shown. Conversion rate optimization techniques like AIDA and reducing risks were also discussed. Case studies of different checkout processes were provided as examples.
Enhancing the User Experience
Allowing customers to search our product catalog effectively
Enhancing this search by allowing our customers to filter products
Providing wish lists for our customers
Generating recommendations for customers based on previous purchases
Informing customers when their desired products are back in stock
Enabling social aspects such as product ratings and reviews from customers
BrightonSEO - Understanding Your Customers with Google AnalyticsDan Peden
This document discusses ways to use Google Analytics to better understand customers, including collecting additional data, analyzing acquisition channels, customer behavior on sites, conversions, and developing a data action strategy. It provides examples of reports and metrics that can provide insights such as assisted conversions, conversion paths, site search, landing pages, and micro and macro conversions. The overall goal is to use analytics to report on data, understand customer journeys more fully, and take action to improve performance.
The document discusses user stories and how they can be used to improve communication between those building software and those wanting the software. It provides examples of well-structured user stories that include a template, acceptance criteria, and details on how specific and granular stories should be. Technical user stories are also discussed, which focus on non-functional requirements like infrastructure and refactoring rather than end-user functionality. The key benefits of user stories are outlined as being short and modifiable, allowing projects to be broken into small increments, and making effort estimation and development planning easier.
Online shopping e commerce website for cloth retail.pptxshubhanshusahu71
The document proposes developing an e-commerce clothing website focusing on key features like browsing, selection, cart management, and secure transactions. It outlines requirements like registration, login, payment modules, and report generation. It also discusses system design including DFD diagrams, use case diagrams, and architectural design. Test cases are proposed to test functionality like user registration, product search, adding to cart, and checkout process. A rough cost estimation of approximately Rs. 5,760,000 is provided based on assumptions about team size and duration. Future enhancements like mobile responsive design are discussed.
This document describes an e-commerce website called VBR Shoopers. The website was created by students at Shri RamSwaroop Memorial University in Lucknow, India for their class project. The website includes pages for products by category, single products, contact information, features, reviews, blogs, search, cart, and user profiles. It aims to allow online shopping 24/7 with low costs and no need for a physical storefront. Potential disadvantages include an inability to examine products in person and requiring an internet connection. The conclusion discusses how the website provides an online version of a shop management system with benefits for both customers and visitors.
Emerging trends in consumer behavior: Consumer behavior in online space. Use of Information technology and AI in consumer profiling and engagement, concept of materialistic vs spiritualistic consumption.
User stories should be goal oriented, written from a single viewpoint, and in active voice. They describe desired functionality and include constraints in notes. Effective user stories follow the INVEST model by being independent, negotiable, valuable, estimable, sized appropriately, and testable. User stories use a template of role, feature, and benefit and include acceptance criteria, assumptions, and dependencies. They should avoid being solely for testing or documentation.
This document proposes creating an e-commerce site for Ghausahar Kalika Minimart Pvt. Ltd. to allow online shopping. Currently, the store only operates physically. The objectives are to allow online customer shopping, maintain product and service details, and manage orders online. Requirements include allowing users to create accounts, view products, add to carts, and place orders. For owners, requirements include managing products, services, orders, and employee details. Implementation tools proposed are HTML, CSS, PHP, MySQL, and JavaScript. The expected outcomes are an online storefront, shopping and ordering capabilities for customers, and administration features for owners.
Subrata Mukherjee gave a presentation on understanding customers through analytics. He discussed identifying different types of customers, both internal and external. Understanding customer motivations and footprints they leave behind is important. Data can be used to transform the customer journey by personalizing content and offers. Publishers can leverage actionable analytics by understanding customers in depth, sending targeted messages, and defining complex customer segments. Doing so requires investing in data management platforms and connecting various systems and vendors while ensuring compliance with privacy laws.
Introduction to Agile
Tools and Techniques for Agile Business Analysts
Creating a Product Vision
Using a Story Map and prioritisation using MOSCOW
Creating a feature list
Determining Customer value
Creating Persona's
User Stories Writing - Codemotion 2013Fabio Armani
Stefano Leli (Freelance) - Fabio Armani (OpenWare)
Scrivere user stories dovrebbe essere facile...almeno in teoria. In realtà nella pratica ci troviamo troppo spesso a combattere con storie vaghe o troppo tecniche, storie che non possono essere testate o addirittura che non portano alcun valore. In questo workshop cercheremo assieme di comprendere la differenza tra requisiti funzionali e User Story, tra User Story e Use Case, mediante dei case study.
User stories writing - Codemotion 2013Stefano Leli
The document provides information on user stories, including what they are, how to write them, and best practices. Some key points:
- A user story is a high-level definition of a requirement written from the user's perspective that provides enough information for developers to estimate effort. It focuses on who needs what and why, not how.
- User stories should follow the INVEST criteria: independent, negotiable, valuable, estimable, sized appropriately, and testable. Acceptance criteria define when a story is complete.
- Epics are large stories that need to be broken down into smaller stories over multiple iterations. Themes group related stories.
- Best practices for writing stories include keeping them
The document presents the details of a group project for a Web and Mobile Technologies class. It discusses the development of a website for a small business called Cellphones2u that is looking to expand online. The presentation covers user requirements, costs associated with developing the site, a storyboard laying out the site structure and features, human-computer interaction issues to consider, and potential benefits of having an e-commerce site. References are provided for topics discussed.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
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2. Prioritizing
Techniques
• Prioritizing user stories is a
fundamental aspect of agile
project management. It involves
determining the order in which
user stories should be addressed
based on their importance, value
to the customer, and other
relevant criteria. Prioritization
ensures that the team focuses on
delivering the most critical and
valuable features early in the
development process
Importance of Prioritization
• Customer Value Focus
• Early Delivery of Value
• Adaptability to Change
• Resource Optimization
• Time-to-Market Reduction
• Efficient Sprint Planning
• Continuous Learning and
Improvement
~Mohit Budhiraja
3. Types of User story Prioritizing techniques
MoSCoW Method
Kano Model
High, Medium, Low (HML)
Relative Prioritization
Bubble Sort
Story Mapping
Business Value and Complexity (BVAC)
Impact vs. Effort Matrix
Risk-Based Prioritization
Cost of Delay (CoD)
Weighted Shortest Job First (WSJF)
Buy a Feature
~Mohit Budhiraja
4. MoSCoW Method
• The MoSCoW method is a prioritization technique commonly used in Agile project management to categorize and prioritize
requirements or user stories. The name "MoSCoW" is an acronym derived from the initial letters of four prioritization categories: Must-
Have, Should-Have, Could-Have, and Won't-Have. Each category represents a different level of priority and importance for features or
requirements.
• User Story 1: (Must-Have)
As a customer, I must be able to log in to the system using my
username and password to access personalized content.
• User Story 2: (Must-Have)
As a customer, I must be able to browse the product catalog, view
product details, and add items to my shopping cart.
• User Story 3: (Should-Have)
As a customer, I should receive an email confirmation after
successfully placing an order, including order details and an estimated
delivery date.
• User Story 4: (Should-Have)
As an administrator, I should have access to a dashboard displaying
real-time analytics of customer activities and order trends.
• User Story 5: (Could-Have)
As a customer, I could have the option to customize my user profile by
adding a profile picture and updating personal information.
• User Story 6: (Could-Have)
As a customer, I could receive personalized product recommendations
based on my purchase history and browsing behavior.
• User Story 7: (Won't-Have)
As a customer, the system won't display social media integration features
on the product pages.
• User Story 8: (Won't-Have)
As an administrator, the system won't include a feature for sending push
notifications to customers.
~Mohit Budhiraja
5. Kano Method
The Kano Model is used to prioritize features based on customer satisfaction and their level of expectation.
• User Story 1: (Basic Needs)
As a customer, I want a search functionality that allows me to
quickly find products based on keywords and filters.
• User Story 2: (Basic Needs)
As a customer, I want a secure and seamless checkout process to
ensure my transactions are safe and straightforward.
• User Story 3: (Performance Needs)
As a customer, I want the website to load quickly, providing a
smooth and responsive browsing experience.
• User Story 4: (Performance Needs)
As a customer, I want an intuitive navigation system that helps me
easily explore different product categories.
• User Story 5: (Excitement Needs)
As a customer, I would love a personalized dashboard that
recommends products based on my preferences and purchase
history.
• User Story 6: (Excitement Needs)
As a customer, I would appreciate a loyalty program that rewards me
for frequent purchases and provides exclusive offers.
• User Story 7: (Indifferent Needs)
As a customer, I'm indifferent to having an animated welcome page
when I log in; it doesn't significantly impact my experience.
• User Story 8: (Reverse Needs)
As a customer, I don't want intrusive pop-up ads that disrupt my
browsing experience.
~Mohit Budhiraja
6. High, Medium & Low(HML)
The High, Medium, Low (HML) prioritization technique is a simple method where user stories are categorized
based on their priority.
• User Story 1: (High Priority)
As a customer, I want a responsive mobile interface to easily
browse and make purchases from my smartphone.
• User Story 2: (High Priority)
As a customer, I want a secure payment gateway integrated into
the checkout process for safe transactions.
• User Story 3: (Medium Priority)
As a customer, I want an option to save items to my wishlist for
future purchases.
• User Story 4: (Medium Priority)
As a customer, I want to receive email notifications for order
confirmations and shipping updates.
• User Story 5: (Low Priority)
As a customer, I want a virtual assistant for real-time product
recommendations while browsing the website.
• User Story 6: (Low Priority)
As a customer, I want the option to customize the color theme of the
website for a personalized experience.
~Mohit Budhiraja
7. Relative Prioritization Technique
Relative prioritization involves comparing user stories against each other to determine their relative importance. In this method,
the team assigns a priority order based on the perceived importance of one user story compared to another.
• User Story 1:
As a user, I want a search functionality to quickly find products on
the website.
• User Story 2:
As a user, I want a user-friendly checkout process for a seamless
purchasing experience.
• User Story 3:
As a user, I want a personalized recommendation system to
discover new products based on my preferences.
• User Story 4:
As a user, I want the option to track my order and receive real-time
updates on its status.
• User Story 5:
As a user, I want a comprehensive user profile to manage my account
information and preferences.
~Mohit Budhiraja
8. Bubble Sort Technique
Bubble sort is a simple sorting algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if
they are in the wrong order. In the context of user story prioritization using bubble sort, the team iteratively compares pairs of
user stories and swaps their positions based on priority.
• User Story 1:
As a user, I want a search functionality to quickly find products on
the website.
• User Story 2:
As a user, I want a user-friendly checkout process for a seamless
purchasing experience.
• User Story 3:
As a user, I want a personalized recommendation system to
discover new products based on my preferences.
• User Story 4:
As a user, I want the option to track my order and receive real-time
updates on its status.
• User Story 5:
As a user, I want a comprehensive user profile to manage my account
information and preferences.
~Mohit Budhiraja
9. Story MappingTechnique
Story mapping is a technique used to visualize and prioritize user stories based on their importance and
dependencies. It helps create a holistic view of the product backlog.
• Goal: Create a user-friendly e-commerce platform for online shopping.
• Backlog Items:
1. Header Section: As a user, I want a navigation menu for easy
access to product categories., As a user, I want a search
bar to quickly find products.
2. Product Browsing: As a user, I want to see featured products on the
homepage., As a user, I want to filter products by category., As a user,
I want to sort products based on price.
3. Product Details: As a user, I want to view detailed product
descriptions., As a user, I want to see product reviews and ratings.
4. Shopping Cart: As a user, I want to add products to my shopping cart.,
As a user, I want to view and edit my shopping cart.
5. Checkout: As a user, I want a secure and easy-to-use checkout
process., As a user, I want to choose different payment options.
6. User Account: As a user, I want to create an account for personalized
recommendations. As a user, I want to track my order history.
• Story Mapping:
1. Top Horizontal Axis (Activities): Header Section, Product Browsing,
Product Details, Shopping Cart, Checkout, User Account
2. Left Vertical Axis (User Journey):
• Step 1: Homepage Navigation, Navigation menu, Search bar
• Step 2: Exploring Products , Featured products, Category filters, Price
sorting,
• Step 3: Product Details , Detailed descriptions, Reviews and ratings
• Step 4: Shopping , Add to cart, View/edit cart
• Step 5: Checkout ,Secure checkout, Payment options
• Step 6: User Account: Account creation, Order history tracking
~Mohit Budhiraja
10. Business Value and Complexity (BVAC)
technique
The Business Value and Complexity (BVAC) technique is a prioritization method that considers both the
business value of a user story and its complexity to implement.
• Feature: Search Bar :
• User Story 1: Basic Search : Business Value: 8 , Complexity: 5
• User Story 2: Advanced Filters: Business Value: 5, Complexity: 8
• Feature: Product Recommendations
• User Story 3: Personalized Recommendations: Business Value: 9,
Complexity: 7
• User Story 4: Trending Products: Business Value: 6, Complexity: 4
• Feature: Secure Checkout
• User Story 5: Multi-step Checkout Process: Business Value: 8,Complexity: 6
• User Story 6: Two-Factor Authentication: Business Value: 7, Complexity: 9
• Feature: User Account Management
• User Story 7: Order History Tracking: Business Value: 8, Complexity: 5
• User Story 8: Social Media Login Integration” Business Value: 6, Complexity:
7
~Mohit Budhiraja
11. Impact vs effort matrix technique
The Business Value and Complexity (BVAC) technique is a prioritization method that considers both the
business value of a user story and its complexity to implement.
• Feature: Search Bar
• User Story 1: Basic Search: Impact: Medium, Effort: Low
• User Story 2: Advanced Filters: Impact: High, Effort: Medium
• Feature: Product Recommendations
• User Story 3: Personalized Recommendations: Impact: High, Effort: Medium
• User Story 4: Trending Products: Impact: Medium, Effort: Low
• Feature: Secure Checkout
• User Story 5: Multi-step Checkout Process: Impact: High, Effort: High
• User Story 6: Two-Factor Authentication: Impact: Medium, Effort: Medium
• Feature: User Account Management
• User Story 7: Order History Tracking: Impact: Medium, Effort: Low
• User Story 8: Social Media Login Integration: Impact: Low, Effort: Low
~Mohit Budhiraja
12. Risk Based Prioritization Tenique
Risk-based prioritization involves assessing user stories based on potential risks and prioritizing them
accordingly. Here's an example for a software development project:
1. Feature: Payment Gateway Integration
1. User Story 1: Integration with New Payment Provider
1. Risk: High (due to lack of experience with the new provider)
2. User Story 2: Upgrade Existing Payment Integration
1. Risk: Medium (existing integration may have dependencies)
2. Feature: User Authentication
1. User Story 3: Implement Two-Factor Authentication (2FA)
1. Risk: High (security implications)
2. User Story 4: Password Recovery Mechanism
1. Risk: Low (commonly implemented, less complexity)
3. Feature: Data Migration
1. User Story 5: Migrate User Data to a New Database
1. Risk: High (potential data loss or corruption)
2. User Story 6: Data Validation and Integrity Checks
1. Risk: Medium (ensuring data accuracy during migration)
4. Feature: Reporting Module
1. User Story 7: Generate Custom Reports
1. Risk: Medium (complexity in report generation logic)
2. User Story 8: Export Reports to Various Formats
1. Risk: Low (standard functionality)
• Risk-Based Prioritization:
• High Risk User Stories (Priority 1):
• User Story 1: Integration with New Payment Provider
• User Story 3: Implement Two-Factor Authentication (2FA)
• User Story 5: Migrate User Data to a New Database
• Medium Risk User Stories (Priority 2):
• User Story 2: Upgrade Existing Payment Integration
• User Story 4: Password Recovery Mechanism
• User Story 6: Data Validation and Integrity Checks
• User Story 7: Generate Custom Reports
• Low Risk User Stories (Priority 3):
• User Story 8: Export Reports to Various Formats
~Mohit Budhiraja
User Stories 1 and 2 address basic needs that customers expect and are dissatisfied without.
User Stories 3 and 4 focus on performance needs that, when met, increase satisfaction but may not cause dissatisfaction if not present.
User Stories 5 and 6 aim at excitement needs that delight customers when fulfilled but don't necessarily cause dissatisfaction if absent.
User Story 7 represents indifferent needs – features that don't significantly impact satisfaction whether included or excluded.
User Story 8 represents reverse needs – features that, when included, might cause dissatisfaction.
The Kano Model helps in understanding the different types of customer needs and guides the prioritization of features based on their impact on customer satisfaction.
In this example:
User Stories 1 and 2 are classified as high priority because they address crucial aspects such as usability and security.
User Stories 3 and 4 are considered medium priority, providing additional features that enhance the overall experience but are not critical.
User Stories 5 and 6 are marked as low priority, representing features that, while desirable, are not urgent for the initial release.
The HML prioritization technique is a straightforward approach, allowing teams to quickly categorize user stories based on their perceived importance. It provides a simple way to focus on high-priority items first while considering medium and low-priority items for subsequent iterations or releases.
Relative Prioritization:
User Story 2 (High Priority):
Justification: A smooth checkout process is crucial for a positive user experience and conversion.
User Story 1 (Medium Priority):
Justification: While search functionality is important, it may not be as critical as ensuring a seamless checkout process.
User Story 4 (Medium Priority):
Justification: Real-time order tracking is important, but it can be prioritized after addressing the checkout process.
User Story 3 (Low Priority):
Justification: The personalized recommendation system is valuable but can be implemented after addressing more critical features.
User Story 5 (Low Priority):
Justification: User profiles are important, but they can be considered lower priority compared to the other features.
In this example, the team has performed relative prioritization by comparing the importance of each user story in relation to others. This approach helps the team make decisions about the order in which they will work on the user stories, considering their perceived value and impact.
Bubble Sort Prioritization:
Iteration 1:
Compare User Story 1 and User Story 2. No swap needed.
Compare User Story 2 and User Story 3. Swap positions.
Compare User Story 3 and User Story 4. Swap positions.
Compare User Story 4 and User Story 5. Swap positions.
The list after the first iteration: User Story 1, User Story 3, User Story 2, User Story 4, User Story 5.
Iteration 2:
Compare User Story 1 and User Story 3. No swap needed.
Compare User Story 3 and User Story 2. Swap positions.
Compare User Story 2 and User Story 4. Swap positions.
Compare User Story 4 and User Story 5. No swap needed.
The list after the second iteration: User Story 1, User Story 2, User Story 3, User Story 4, User Story 5.
Iterations 3, 4, ...:
The algorithm continues until no more swaps are needed.
The final sorted order represents the prioritization based on the bubble sort algorithm. Keep in mind that bubble sort is a basic algorithm used here for illustrative purposes. In practice, more advanced and efficient methods may be employed for user story prioritization.
Bubble Sort Prioritization:
Iteration 1:
Compare User Story 1 and User Story 2. No swap needed.
Compare User Story 2 and User Story 3. Swap positions.
Compare User Story 3 and User Story 4. Swap positions.
Compare User Story 4 and User Story 5. Swap positions.
The list after the first iteration: User Story 1, User Story 3, User Story 2, User Story 4, User Story 5.
Iteration 2:
Compare User Story 1 and User Story 3. No swap needed.
Compare User Story 3 and User Story 2. Swap positions.
Compare User Story 2 and User Story 4. Swap positions.
Compare User Story 4 and User Story 5. No swap needed.
The list after the second iteration: User Story 1, User Story 2, User Story 3, User Story 4, User Story 5.
Iterations 3, 4, ...:
The algorithm continues until no more swaps are needed.
The final sorted order represents the prioritization based on the bubble sort algorithm. Keep in mind that bubble sort is a basic algorithm used here for illustrative purposes. In practice, more advanced and efficient methods may be employed for user story prioritization.
The team can prioritize user stories based on the BVAC matrix, starting with those with the highest business value and lower complexity.
For example, User Story 3 (Personalized Recommendations) might be prioritized higher than User Story 6 (Two-Factor Authentication) due to its higher business value despite slightly higher complexity.
This BVAC matrix allows the team to make informed decisions by balancing the potential impact on business value and the effort required to implement each user story. The goal is to maximize the value delivered to users while managing the complexity of development.
rioritization:
Quadrant 2 contains high-impact, low-effort user stories (e.g., User Story 2: Advanced Filters), making them top priority.
Quadrant 1 contains high-impact, high-effort user stories (e.g., User Story 5: Multi-step Checkout Process), which may be considered next.
Quadrant 3 contains low-impact, low-effort user stories (e.g., User Story 7: Order History Tracking), considered for later.
Quadrant 4 contains low-impact, high-effort user stories (e.g., User Story 6: Two-Factor Authentication), which may be deprioritized or reconsidered.
This matrix allows the team to visually assess and prioritize user stories based on their potential impact and the effort required, helping in effective decision-making during backlog grooming and sprint planning.
Bubble Sort Prioritization:
Iteration 1:
Compare User Story 1 and User Story 2. No swap needed.
Compare User Story 2 and User Story 3. Swap positions.
Compare User Story 3 and User Story 4. Swap positions.
Compare User Story 4 and User Story 5. Swap positions.
The list after the first iteration: User Story 1, User Story 3, User Story 2, User Story 4, User Story 5.
Iteration 2:
Compare User Story 1 and User Story 3. No swap needed.
Compare User Story 3 and User Story 2. Swap positions.
Compare User Story 2 and User Story 4. Swap positions.
Compare User Story 4 and User Story 5. No swap needed.
The list after the second iteration: User Story 1, User Story 2, User Story 3, User Story 4, User Story 5.
Iterations 3, 4, ...:
The algorithm continues until no more swaps are needed.
The final sorted order represents the prioritization based on the bubble sort algorithm. Keep in mind that bubble sort is a basic algorithm used here for illustrative purposes. In practice, more advanced and efficient methods may be employed for user story prioritization.