Despite much progress, developing a pervasive computing application remains a challenge because of a lack of conceptual frameworks and supporting tools. This challenge involves coping with heterogeneous devices, overcoming the intricacies of distributed systems technologies, working out an architecture for the application, and encoding it into a program. Moreover, testing pervasive computing applications is problematic because it requires acquiring, testing and interfacing a variety of software and hardware entities. This process can rapidly become costly and time-consuming when the target environment involves many entities.
This thesis proposes a tool-based methodology for developing and testing pervasive computing applications. Our methodology first provides the DiaSpec design language that allows to define a taxonomy of area-specific building-blocks, abstracting over their heterogeneity. This language also includes a layer to define the architecture of an application. Our tool suite includes a compiler that takes DiaSpec design artifacts as input and generates a programming framework that supports the implementation and testing stages.
To address the testing phase, we propose an approach and a tool integrated in our tool-based methodology, namely DiaSim. Our approach uses the testing support generated by DiaSpec to transparently test applications in a simulated physical environment. The simulation of an application is rendered graphically in a 2D visualization tool.
We combined DiaSim with a domain-specific language for describing physical environment phenomena as differential equations, allowing a physically-accurate testing. DiaSim has been used to simulate various pervasive computing systems in different application areas. Our simulation approach has also been applied to an avionics system, which demonstrates the generality of our parameterized simulation approach.
Designing An Android Sensor Subsystem and Solving Common Sensor ProblemsJen Costillo
An application developer-focused introduction to the underlying sensor system design considerations and their impact on your Android application. Common problems discussed and solved.
The document discusses optimization techniques for embedded systems to improve memory usage and performance. It covers profiling tools, code optimization, RAM optimization, and techniques like reducing memory footprint, resolving bottlenecks, and code refactoring. The document provides examples measuring tasks on a microcontroller and modifying the code to improve efficiency through algorithm changes, compiler optimizations, and assembly optimizations.
Designing an android sensor subsystem costillo 20120214Jen Costillo
This document discusses considerations for designing an Android sensor subsystem. It covers establishing product goals, choosing sensors, sampling rates, interfaces, power management, and testing methodologies. The key tradeoffs are between user experience, battery performance, and innovation. It also outlines the Android sensor framework and best practices for sensor fusion, gesture detection, calibration, and quality assurance testing.
Dmitriy evdokimov. light and dark side of code instrumentationYury Chemerkin
This document discusses code instrumentation techniques. It begins by introducing the speaker and defining instrumentation as adding extra code to a program or environment for monitoring or changing program behavior. It then covers various uses of instrumentation including debugging, testing, profiling, and security applications like malware analysis. The document categorizes instrumentation approaches as static, load-time, or dynamic depending on when the instrumentation is applied. It provides examples of instrumentation for different programming languages and environments like Java, .NET, and ActionScript.
The document discusses developing a successful Selenium automation program by overcoming impediments such as unrealistic objectives and high startup costs, addressing challenges like managing object references and coding standards, and implementing solutions like a centralized object repository and using design patterns to develop maintainable test scripts. It also covers the need for robust reporting and metrics to measure the effectiveness of the automation program.
The document discusses model based design for embedded control systems. It introduces model based design, explaining that models represent the system, control, environment and stimuli. It discusses why model based design is used, including that it allows for cheaper, faster development with higher reliability. A case study is presented on using model based design for an excavator system, with models created at various levels of abstraction from continuous time physical models to discrete event software models. The document concludes by demonstrating the models in a co-simulation environment.
Continuous delivery (CD) allows software updates to be released frequently by having each code change trigger automated builds, tests, and deployments. This document discusses best practices for implementing CD for Alfresco solutions, including using consistent project templates built with Maven or Gradle, packaging modules as AMPs, externalizing configurations, supporting multi-module deployments, using deployment frameworks like Chef, and deploying to test instances on private clouds. Common pitfalls to avoid are unrealistic time planning, lack of involvement from system admins, and developers not understanding the importance of green builds.
This document outlines an introduction to the Android window system presented by Chia-I Wu. It covers the basic building blocks of SurfaceManager, WindowManager, and ActivityManager. It discusses concepts under the hood like process view, zygote, and binder. It also provides guidance on development tools and code areas relevant to understanding the window system.
Designing An Android Sensor Subsystem and Solving Common Sensor ProblemsJen Costillo
An application developer-focused introduction to the underlying sensor system design considerations and their impact on your Android application. Common problems discussed and solved.
The document discusses optimization techniques for embedded systems to improve memory usage and performance. It covers profiling tools, code optimization, RAM optimization, and techniques like reducing memory footprint, resolving bottlenecks, and code refactoring. The document provides examples measuring tasks on a microcontroller and modifying the code to improve efficiency through algorithm changes, compiler optimizations, and assembly optimizations.
Designing an android sensor subsystem costillo 20120214Jen Costillo
This document discusses considerations for designing an Android sensor subsystem. It covers establishing product goals, choosing sensors, sampling rates, interfaces, power management, and testing methodologies. The key tradeoffs are between user experience, battery performance, and innovation. It also outlines the Android sensor framework and best practices for sensor fusion, gesture detection, calibration, and quality assurance testing.
Dmitriy evdokimov. light and dark side of code instrumentationYury Chemerkin
This document discusses code instrumentation techniques. It begins by introducing the speaker and defining instrumentation as adding extra code to a program or environment for monitoring or changing program behavior. It then covers various uses of instrumentation including debugging, testing, profiling, and security applications like malware analysis. The document categorizes instrumentation approaches as static, load-time, or dynamic depending on when the instrumentation is applied. It provides examples of instrumentation for different programming languages and environments like Java, .NET, and ActionScript.
The document discusses developing a successful Selenium automation program by overcoming impediments such as unrealistic objectives and high startup costs, addressing challenges like managing object references and coding standards, and implementing solutions like a centralized object repository and using design patterns to develop maintainable test scripts. It also covers the need for robust reporting and metrics to measure the effectiveness of the automation program.
The document discusses model based design for embedded control systems. It introduces model based design, explaining that models represent the system, control, environment and stimuli. It discusses why model based design is used, including that it allows for cheaper, faster development with higher reliability. A case study is presented on using model based design for an excavator system, with models created at various levels of abstraction from continuous time physical models to discrete event software models. The document concludes by demonstrating the models in a co-simulation environment.
Continuous delivery (CD) allows software updates to be released frequently by having each code change trigger automated builds, tests, and deployments. This document discusses best practices for implementing CD for Alfresco solutions, including using consistent project templates built with Maven or Gradle, packaging modules as AMPs, externalizing configurations, supporting multi-module deployments, using deployment frameworks like Chef, and deploying to test instances on private clouds. Common pitfalls to avoid are unrealistic time planning, lack of involvement from system admins, and developers not understanding the importance of green builds.
This document outlines an introduction to the Android window system presented by Chia-I Wu. It covers the basic building blocks of SurfaceManager, WindowManager, and ActivityManager. It discusses concepts under the hood like process view, zygote, and binder. It also provides guidance on development tools and code areas relevant to understanding the window system.
MATRÍCULAS ABERTAS NA SMART MACHINE EM CONSELHEIRO PENAAline Vasconcelos
A Smart Machine oferece cursos de qualidade desde 2004. Ela possui 500 instrutores e opera em mais de 450 cidades no Brasil e no exterior. A Smart Machine desenvolveu programas educacionais interativos baseados em 20 anos de experiência com sua própria rede de escolas técnicas. Sua visão é oferecer o melhor sistema de ensino interativo do Brasil com foco em resultados, ética, inovação e satisfação do cliente.
Conselheiro Pena oferece cursos e pode ser contatado pelos telefones (33) 9 8409-5970 ou 9 9140-8187 na Praça da matriz 1759 sala 101 para falar com Aline.
Trabajo en equipo, liderazgo a coachingRosario Ojeda
Este documento describe un taller sobre el desarrollo de competencias para trabajar en equipo y liderazgo a través de la metodología de coaching. Los objetivos del taller son desarrollar habilidades para trabajar en equipo, liderazgo para apoyar el trabajo en equipo, e identificar conceptos básicos de coaching. El taller cubre temas como trabajo en equipo, comunicación efectiva, liderazgo, y una introducción a conceptos básicos de coaching. La evaluación se basa en casos prácticos y dinámicas grupales.
Este documento describe los pasos realizados por Diego Andrés Guartatanga Suárez para crear y publicar una presentación en SlideShare sobre pensamientos positivos. Incluye la creación de diapositivas con su nombre, una imagen cómica, enlaces a sitios web sobre el tema y capturas de pantalla del proceso de subir, actualizar y eliminar la presentación de SlideShare.
Ser positivo en un mundo negativo requiere enfocarse en lo que se puede controlar en lugar de lo que no se puede, como las acciones y reacciones de otros. También ayuda cultivar gratitud por las cosas buenas de la vida en lugar de enfocarse exclusivamente en los problemas.
This document summarizes best practices for software development for human-rated spacecraft. It discusses approaches to increasing software reliability through defect prevention and fault tolerance. It also outlines key aspects of an ideal software development process including requirements analysis, architectural design, detailed design, coding, testing and integration. Finally, it discusses considerations for requirements validation and verification, requirements management, and software architectural trades.
Architecture-Driven Programming for Sense/Compute/Control ApplicationsDamien Cassou
Software architectures have long been used to design the structure of a software and to impose constraints on the software implementation. Existing approaches are capable of formally verifying properties on these constraints at the design stage. However, few approaches verify that a given implementation conforms to the software architecture constraints, and even fewer use these constraints to guide developers during implementation.
In this presentation, we propose a generative approach to enforce the software architecture constraints during implementation. Toward this goal, we focus on a specific application area, Sense/Compute/Control applications, which are applications that interact with a physical or virtual environment. Our work is based on a domain-specific architectural pattern dedicated to SCC applications. The data-flow of this pattern is restricted by interaction constraints. For specifying such constraints, we propose a dedicated language of behavioral contracts, adapted to our architectural pattern. These behavioral contracts are used for automatically generating a dedicated programming framework. This framework enforces the conformance of the resulting implementation with the software architecture constraints and provides guidance to developers.
It is mandatory for every medicine or pharma packaging to have a unique serial code or UID. Project is to build a web application that will provide tracking capabilities for the UID for pharma packaging of drugs. The track feature (TRACK n trace) will track the UID of each package by using vision based scanners, RFIDs, etc. and store the data into a local server. The server will be synced daily with a global server (we are looking for cloud based hosting platforms such as Windows Azure or amazon web services). We have to build the trace functionality (Track n TRACE) by building a web interface where a person with the UID can trace the shipment.
We have to keep historical records for as long as 10 years and build logic on basis of the UID state. We have to provide the details from the database as in when was this package manufactured, when was it shipped, etc. If the UID entered is faulty for example; it wasn’t ever manufactured or if it is over its expiration date then we have to generate corresponding errors and also maintain a log of such entries and send notification to the admins with details of IP, Geography or where the error generated.
This talk aims to summarize the typical challenges one encounters in testing mobile applications. At the ThoughtWorks Pune office we have developed multiple mobile applications across various platforms (mobile web, hybrid apps, native apps, apps for tablets etc.). In this talk we will bring together lessons learnt around mobile testing. This talk was done by Vikrant Chauhan and Dubinsky De Soares
Presentation at Android Builders Summit 2012.
Based on the experience of working with ODM companies and SoC vendors, this session would discuss how to figure out the performance hotspot of certain Android devices and then improve in various areas including graphics and boot time. This session consists of the detailed components which seem to be independent from each other in traditional view. However, the situation changes a lot in Android system view since everything is coupled in a mass. Three frequently mentioned items in Android engineering are selected as the entry points: 2D/3D graphics, runtime, and boot time. Audience: Developers who work on Android system integration and platform enablement.
A platform for the decision support studiojhjsmits
Scenario Navigator is a platform that was originally desktop software mainly used by analysts and modelers to support simulation projects (1). It has evolved into a cloud-based simulation as a service platform with a web interface allowing running of models on servers (2). The vision is for Scenario Navigator to become a platform for a Decision Support Studio - an integrated, collaborative environment that supports multi-actor decision making through dynamic modeling and simulation across devices as part of a corporate infrastructure (3).
This document discusses how to take mobile application tests to the next level using continuous integration (CI). It covers challenges with mobile testing in CI, basics of Android and iOS setup, popular automation tools like MonkeyRunner and Sikuli, and demonstrates how to run mobile tests in CI. The session provides tips for configuring emulators and simulators, installing and launching apps, and executing tests on Android and iOS. It also compares instrumentation and non-instrumentation test techniques and popular mobile test automation tools.
XebiaLabs, CloudBees, Puppet Labs Webinar Slides - IT Automation for the Mode...XebiaLabs
Learn how you can enhance and extend your existing infrastructure to create an automated, end-to-end IT platform supporting on-demand middleware and application environments, application release pipelines, Continuous Delivery, Private/ hybrid development platform and PaaS and more.
The document discusses various software development life cycle (SDLC) models including waterfall, V-shaped, spiral, iterative, incremental, and agile. It also describes different agile methodologies like extreme programming, adaptive software development, scrum, dynamic system development method, crystal, feature driven development, and agile modeling. Finally, it covers software engineering process and process improvement frameworks like the capability maturity model.
The document provides an overview of Fortify on Demand (FoD) security assessments. It summarizes that FoD offers automated static and dynamic application security testing through their analysis tools and security experts. It provides concise summaries of their baseline, standard, and premium assessment levels that vary in coverage, user accounts tested, and inclusion of manual security testing. The document highlights some customer success stories and commonalities that organizations achieving success have in developing a secure software development lifecycle.
ICTSS 2010 - Iterative Software Testing Process for Scrum and Waterfall ProjectsEliane Collins
1. The document describes an iterative software testing process used for Scrum and Waterfall projects at the Nokia Technology Institute.
2. The process involves test planning, specification, execution and reporting using open source tools like TestLink, Mantis, Selenium, and Marathon. Automated tests were created to test web and desktop applications.
3. The process was applied to two projects - a customer survey system using Scrum and a factory production monitoring system using Waterfall. Test activities were broken into iterations to prioritize testing of key features. Automation helped improve test coverage, efficiency and catch defects earlier.
The document discusses several software process models including:
1) The waterfall model which is linear and sequential with distinct stages of requirements, design, implementation, testing, and maintenance.
2) Evolutionary/iterative models which allow for incremental development and changes during the process.
3) Component-based development which focuses on reuse of existing software components.
4) Agile methodologies like Scrum and Extreme Programming (XP) which emphasize adaptive planning, evolutionary development, and customer collaboration.
MATRÍCULAS ABERTAS NA SMART MACHINE EM CONSELHEIRO PENAAline Vasconcelos
A Smart Machine oferece cursos de qualidade desde 2004. Ela possui 500 instrutores e opera em mais de 450 cidades no Brasil e no exterior. A Smart Machine desenvolveu programas educacionais interativos baseados em 20 anos de experiência com sua própria rede de escolas técnicas. Sua visão é oferecer o melhor sistema de ensino interativo do Brasil com foco em resultados, ética, inovação e satisfação do cliente.
Conselheiro Pena oferece cursos e pode ser contatado pelos telefones (33) 9 8409-5970 ou 9 9140-8187 na Praça da matriz 1759 sala 101 para falar com Aline.
Trabajo en equipo, liderazgo a coachingRosario Ojeda
Este documento describe un taller sobre el desarrollo de competencias para trabajar en equipo y liderazgo a través de la metodología de coaching. Los objetivos del taller son desarrollar habilidades para trabajar en equipo, liderazgo para apoyar el trabajo en equipo, e identificar conceptos básicos de coaching. El taller cubre temas como trabajo en equipo, comunicación efectiva, liderazgo, y una introducción a conceptos básicos de coaching. La evaluación se basa en casos prácticos y dinámicas grupales.
Este documento describe los pasos realizados por Diego Andrés Guartatanga Suárez para crear y publicar una presentación en SlideShare sobre pensamientos positivos. Incluye la creación de diapositivas con su nombre, una imagen cómica, enlaces a sitios web sobre el tema y capturas de pantalla del proceso de subir, actualizar y eliminar la presentación de SlideShare.
Ser positivo en un mundo negativo requiere enfocarse en lo que se puede controlar en lugar de lo que no se puede, como las acciones y reacciones de otros. También ayuda cultivar gratitud por las cosas buenas de la vida en lugar de enfocarse exclusivamente en los problemas.
This document summarizes best practices for software development for human-rated spacecraft. It discusses approaches to increasing software reliability through defect prevention and fault tolerance. It also outlines key aspects of an ideal software development process including requirements analysis, architectural design, detailed design, coding, testing and integration. Finally, it discusses considerations for requirements validation and verification, requirements management, and software architectural trades.
Architecture-Driven Programming for Sense/Compute/Control ApplicationsDamien Cassou
Software architectures have long been used to design the structure of a software and to impose constraints on the software implementation. Existing approaches are capable of formally verifying properties on these constraints at the design stage. However, few approaches verify that a given implementation conforms to the software architecture constraints, and even fewer use these constraints to guide developers during implementation.
In this presentation, we propose a generative approach to enforce the software architecture constraints during implementation. Toward this goal, we focus on a specific application area, Sense/Compute/Control applications, which are applications that interact with a physical or virtual environment. Our work is based on a domain-specific architectural pattern dedicated to SCC applications. The data-flow of this pattern is restricted by interaction constraints. For specifying such constraints, we propose a dedicated language of behavioral contracts, adapted to our architectural pattern. These behavioral contracts are used for automatically generating a dedicated programming framework. This framework enforces the conformance of the resulting implementation with the software architecture constraints and provides guidance to developers.
It is mandatory for every medicine or pharma packaging to have a unique serial code or UID. Project is to build a web application that will provide tracking capabilities for the UID for pharma packaging of drugs. The track feature (TRACK n trace) will track the UID of each package by using vision based scanners, RFIDs, etc. and store the data into a local server. The server will be synced daily with a global server (we are looking for cloud based hosting platforms such as Windows Azure or amazon web services). We have to build the trace functionality (Track n TRACE) by building a web interface where a person with the UID can trace the shipment.
We have to keep historical records for as long as 10 years and build logic on basis of the UID state. We have to provide the details from the database as in when was this package manufactured, when was it shipped, etc. If the UID entered is faulty for example; it wasn’t ever manufactured or if it is over its expiration date then we have to generate corresponding errors and also maintain a log of such entries and send notification to the admins with details of IP, Geography or where the error generated.
This talk aims to summarize the typical challenges one encounters in testing mobile applications. At the ThoughtWorks Pune office we have developed multiple mobile applications across various platforms (mobile web, hybrid apps, native apps, apps for tablets etc.). In this talk we will bring together lessons learnt around mobile testing. This talk was done by Vikrant Chauhan and Dubinsky De Soares
Presentation at Android Builders Summit 2012.
Based on the experience of working with ODM companies and SoC vendors, this session would discuss how to figure out the performance hotspot of certain Android devices and then improve in various areas including graphics and boot time. This session consists of the detailed components which seem to be independent from each other in traditional view. However, the situation changes a lot in Android system view since everything is coupled in a mass. Three frequently mentioned items in Android engineering are selected as the entry points: 2D/3D graphics, runtime, and boot time. Audience: Developers who work on Android system integration and platform enablement.
A platform for the decision support studiojhjsmits
Scenario Navigator is a platform that was originally desktop software mainly used by analysts and modelers to support simulation projects (1). It has evolved into a cloud-based simulation as a service platform with a web interface allowing running of models on servers (2). The vision is for Scenario Navigator to become a platform for a Decision Support Studio - an integrated, collaborative environment that supports multi-actor decision making through dynamic modeling and simulation across devices as part of a corporate infrastructure (3).
This document discusses how to take mobile application tests to the next level using continuous integration (CI). It covers challenges with mobile testing in CI, basics of Android and iOS setup, popular automation tools like MonkeyRunner and Sikuli, and demonstrates how to run mobile tests in CI. The session provides tips for configuring emulators and simulators, installing and launching apps, and executing tests on Android and iOS. It also compares instrumentation and non-instrumentation test techniques and popular mobile test automation tools.
XebiaLabs, CloudBees, Puppet Labs Webinar Slides - IT Automation for the Mode...XebiaLabs
Learn how you can enhance and extend your existing infrastructure to create an automated, end-to-end IT platform supporting on-demand middleware and application environments, application release pipelines, Continuous Delivery, Private/ hybrid development platform and PaaS and more.
The document discusses various software development life cycle (SDLC) models including waterfall, V-shaped, spiral, iterative, incremental, and agile. It also describes different agile methodologies like extreme programming, adaptive software development, scrum, dynamic system development method, crystal, feature driven development, and agile modeling. Finally, it covers software engineering process and process improvement frameworks like the capability maturity model.
The document provides an overview of Fortify on Demand (FoD) security assessments. It summarizes that FoD offers automated static and dynamic application security testing through their analysis tools and security experts. It provides concise summaries of their baseline, standard, and premium assessment levels that vary in coverage, user accounts tested, and inclusion of manual security testing. The document highlights some customer success stories and commonalities that organizations achieving success have in developing a secure software development lifecycle.
ICTSS 2010 - Iterative Software Testing Process for Scrum and Waterfall ProjectsEliane Collins
1. The document describes an iterative software testing process used for Scrum and Waterfall projects at the Nokia Technology Institute.
2. The process involves test planning, specification, execution and reporting using open source tools like TestLink, Mantis, Selenium, and Marathon. Automated tests were created to test web and desktop applications.
3. The process was applied to two projects - a customer survey system using Scrum and a factory production monitoring system using Waterfall. Test activities were broken into iterations to prioritize testing of key features. Automation helped improve test coverage, efficiency and catch defects earlier.
The document discusses several software process models including:
1) The waterfall model which is linear and sequential with distinct stages of requirements, design, implementation, testing, and maintenance.
2) Evolutionary/iterative models which allow for incremental development and changes during the process.
3) Component-based development which focuses on reuse of existing software components.
4) Agile methodologies like Scrum and Extreme Programming (XP) which emphasize adaptive planning, evolutionary development, and customer collaboration.
This document provides an overview of IBM's vision and roadmap for application security. It discusses the changing security landscape and growing threats from web applications. It outlines IBM's acquisition of Ounce Labs to strengthen its capabilities in static analysis security testing. The roadmap focuses on adding new language support, improving string analysis, enhancing the static analysis engine, and tighter integration with development tools. It also introduces the AppScan Tester edition to embed security testing into the QA process.
Dev ops for cross platform mobile modeveast 12Sanjeev Sharma
Mobile Apps are not stand alone applications running on a mobile device anymore. Apps today are complex systems with back-ends hosted on clouds, with application servers, databases, API calls to external systems, and of course a powerful app running on a mobile device. Mobile App development and deployment is further complicated with todays need for supporting multiple mobile devices, with multiple OSes, multiple versions of the OSes, multiple form factors and varied network, CPU, GPU and memory specs.
DevOps - the new and growing movement addresses these development and deployment challenges. The goal of DevOps is to align Dev and Ops by introducing a set of principles and practices such as continuous integration and continuous delivery. Mobile apps take the need for these practices up a level due to their inherent distributed nature. Multi-platform mobile apps need even more care in applying DevOps principles as there are multiple platforms to be targeted, each with its own requirements, quirks, and nuanced needs.
This talk will introduce attendees to the basic practices of DevOps and then take a look at the DevOps challenges specific to cross-platform Mobile apps and present Best Practices to address them.
The document describes a parking spot locator mobile application that uses image processing of camera images of a parking lot to determine occupied and empty spots, stores this data on a server, and allows a mobile application to access current parking availability information to help users find open spots more quickly. The application was developed over several months and tested successfully, and the document reviews the system components, development process, and plans for marketing and expanding the system.
Leveraging process models across the asset lifecycle t fiske arcARC Advisory Group
1. The document discusses leveraging process models across the asset lifecycle from design through operations.
2. Process models are used for design simulation, startup validation and operator training, and operations activities like process analysis, monitoring, and optimization.
3. However, models developed during different phases are often not consistent or leveraged across the lifecycle due to being created by different groups or for different purposes.
4. Integrating process models throughout the asset lifecycle could provide significant benefits for activities like design, startup, and real-time optimization.
Online performance modeling and analysis of message-passing parallel applicat...MOCA Platform
Although the evolution of hardware is improving at an incredible rate, the advances in
parallel software have been hampered for many reasons. Developing an efficient parallel
application is still not an easy task. Our thesis is that many performance problems and their reasons can be quickly located and explained with automated techniques that work on unmodified parallel applications. This work identifies main obstacles for such diagnosis and presents a two-step approach for addressing them. In this approach, the application is automatically modeled and diagnosed during its execution.
First, we introduce an online performance modeling technique that enables automated discovery of causal execution flows through communication and computational activities in message-passing parallel programs. Second, we present a systematic approach to online performance analysis. The automated
analysis uses online model to quickly identify the most important performance problems,
and correlate them with application source code. Our technique is able to discover causal
dependences between the problems, infer their root causes in some scenarios and explain
them to developers. In this work, we focus on diagnosing scientific MPI parallel applications and their communication and computational problems although the approach can be extended to support other classes of activities and programming models.
We have evaluated our approach on a variety of scientific parallel applications. In all scenarios, our online performance modeling technique proved effective for low-overhead capturing of program’s behavior and facilitated performance understanding. With our automated, model-based performance analysis approach, we were able to easily identify the most severe performance problems during application execution, and locate their root causes without previous knowledge of application internals.
Detection of Seed Methods for Quantification of Feature ConfinementAndrzej Olszak
This document proposes an approach to automatically detect "seed methods" for quantifying feature confinement in object-oriented programs. Seed methods are starting points of feature control flows. The approach ranks methods based on popular names and size of static control flow slices. It was evaluated on 14 Java programs against ground truth slices, finding 79% intersection on average. The approach was also applied to track how feature confinement in Checkstyle evolved over 10 years and 27 releases, despite a doubling of lines of code.
This four-day course provides instruction on configuring and administering Symantec Data Loss Prevention 10.5. The course includes hands-on labs covering reporting, policy management, incident response, and more. Attendees will learn how to describe Symantec DLP concepts, configure reports and policies, and perform administration tasks. The target audience includes technical users responsible for Symantec DLP policies and incident response.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
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.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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
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9. What is Camel K?
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10. Configuring Camel K Integrations for Data Pipelines
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11. What is a Jupyter Notebook?
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12. Jupyter Notebooks with Code Examples
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1. Developing and Testing
Pervasive Computing Applications:
A Tool-Based Methodology
Julien Bruneau
Supervisor: Charles Consel
Phoenix Research Group
INRIA Bordeaux
3. In our everyday life:
• Growing number of
networked entities
2
4. In our everyday life:
• Growing number of
networked entities
• Growing importance
of the digital world
Digital world
2
5. In our everyday life:
• Growing number of
networked entities
• Growing importance
of the digital world
Pervasive computing
has become a reality
Digital world
2
7. Actuators
Physical
environment
Application
! May impact people safety
ValidatingSensors
the application
behavior is necessary !!
4
8. Actuators
Physical
environment
Application
Sensors
Validation of the application behavior
• Verification
- Static analysis of the application code
5
9. Actuators
Physical
environment
Application
Sensors
Validation of the application behavior
• Verification Do not take into
account the
- Static analysis of the application code environment
5
10. Actuators
Physical
environment
Application
Sensors
Validation of the application behavior
• Verification
- Static analysis on the application
• Testing
- At deployment time
- Using simulation 6
11. Actuators
Physical
environment
Application
Sensors
Testing at deployment time: Simulation:
+ Accurate - May be inaccurate
- Time consuming + Fast
- Expensive + Inexpensive
- Not always possible 7
+ Simulation of any scenarios
30. Emulated Abstraction of the actions
Actuators provided by the actuators
Simulated
Physical
Environment
Application
Emulated
Sensors
Abstraction of the
information sensed
26 by the sensors
47. Emulated entities Simulated people Physical layout Physical properties
Simulation scenario
Emulated entities Physical layout
- Set of instances - Locations
- Location - Graphical representation
Simulated people Physical properties
- Properties - Evolution
- Behavior
42
48. actions
Simulated
Physical
Emulated
Environment
Entities
sources
Application
Evolution of the physical properties:
Defined with well-known Ordinary/Partial Differential Equations
43
49. Simulated environment
stimuli actions
Emulated
Entities
rces Application sources Approximated
physical model
lated Stimulus reads
ties Producers data
ons
Integration of a continuous model into our simulation model
Logs of
measurements
effects
+ Physically-accurate simulation
44
50. Heat
Heat Heater
Regulator
Temperature
Sensor
temperature
Continuous model of the temperature in a building
The temperature of a room is influenced by:
- Heat transfer with neighbor areas
- HVAC systems
- Occupants 45
51. pants of room i is denoted Occupants(i). We only
additional parameter to incorporate this aspect of buil
Temperature Model j (W),
H Heat dissipation of occupant number
j
Thus, the final equation can be expressed as:
dTi 1 X Tk - Ti
=
dt Ci Rik
k2Neighbors(i)
1
+ ⇤ (Bh(i) ⇤ Pi - Bc(i) ⇤ Qi )
Ci
1 X
+ ⇤ Hj
Ci
j2Occupants(i)
Other heat sources, such as equipment, appliances, a
were neglected for simplicity but will be included at a l
46
52. pants of room i is denoted Occupants(i). We only
additional parameter to incorporate this aspect of buil
Temperature Model j (W),
H Heat dissipation of occupant number
j
Thus, the final equation can be expressed as:
dTi 1 X Tk - Ti
=
dt Ci Rik
k2Neighbors(i)
1
+ ⇤ (Bh(i) ⇤ Pi - Bc(i) ⇤ Qi )
Ci
1 X
+ ⇤ Hj
Ci
j2Occupants(i)
Heat transfer with neighbor areas
Other heat sources, such as equipment, appliances, a
were neglected for simplicity but will be included at a l
46
53. pants of room i is denoted Occupants(i). We only
additional parameter to incorporate this aspect of buil
Temperature Model j (W),
H Heat dissipation of occupant number
j
Thus, the final equation can be expressed as:
dTi 1 X Tk - Ti
=
dt Ci Rik
k2Neighbors(i)
1
+ ⇤ (Bh(i) ⇤ Pi - Bc(i) ⇤ Qi )
Ci
1 X
+ ⇤ Hj
Ci
j2Occupants(i)
HVAC
Other heat sources, such as equipment, appliances, a
were neglected for simplicity but will be included at a l
47
54. pants of room i is denoted Occupants(i). We only
additional parameter to incorporate this aspect of buil
Temperature Model j (W),
H Heat dissipation of occupant number
j
Thus, the final equation can be expressed as:
dTi 1 X Tk - Ti
=
dt Ci Rik
k2Neighbors(i)
1
+ ⇤ (Bh(i) ⇤ Pi - Bc(i) ⇤ Qi )
Ci
1 X
+ ⇤ Hj
Ci
j2Occupants(i)
Occupants
Other heat sources, such as equipment, appliances, a
were neglected for simplicity but will be included at a l
48
55. Heat
Heat Heater
Regulator
Temperature
Sensor
temperature
Simulation of the continuous model using Acumen
- DSL for simulating continuous and discrete systems
- Collaborative work with Prof. Walid Taha
49
56. DiaSim Acumen
updates variables in the
continuous model
Heat
Heat Heater
Regulator
Temperature
Sensor
temperature
reads periodically the
continuous model
50
57. DiaSim Acumen
Heater is OFF
Heat
Heat Heater
Regulator
Temperature
Sensor
temperature
51
58. DiaSim Acumen
Heat
Heat Heater
Regulator
Temperature
Sensor
temperature T = 19.1
52
59. DiaSim Acumen
Heat
Heat Heater
Regulator
Temperature
Sensor
temperature
T = 19.1
52
60. DiaSim Acumen
Heat
Heat Heater
Regulator
Temperature
19.1 Sensor
temperature
52
61. DiaSim Acumen
Heat
Heat Heater
Regulator
Temperature
Sensor
temperature T = 18.8
53
62. DiaSim Acumen
Heat
Heat Heater
Regulator
Temperature
Sensor
temperature
T = 18.8
53
63. DiaSim Acumen
Heat
Heat Heater
Regulator
Temperature
18.8 Sensor
temperature
53
64. DiaSim Acumen
Heat.on()
Heat
Heat Heater
Regulator
Temperature
Sensor
temperature
53
65. DiaSim Acumen
Hi = 1
Heat
Heat Heater
Regulator
Temperature
Sensor
temperature
53
66. DiaSim Acumen
Heater is ON
Heat
Heat Heater
Regulator
Temperature
Sensor
temperature T = 19.2
54
67. DiaSim Acumen
Heater is ON
Heat
Heat Heater
Regulator
Temperature
Sensor
temperature
T = 19.2
54
68. DiaSim Acumen
Heater is ON
Heat
Heat Heater
Regulator
Temperature
19.2 Sensor
temperature
54
69. ion with diasim
mulated environment
stimuli actions
Emulated
Entities
es Application sources Approximated
physical model
ated Stimulus reads
ies Producers data
ns
Logs of
measurements
effects
55
70. ion with diasim
mulated environment
stimuli actions
Emulated
Entities
es Application sources Approximated
physical model
ated Stimulus reads
ies Producers data
ns
Other means to simulate accurately the physical environment can be
Logs of
achieved using the simulation programming framework
measurements
effects
55
71. Simulated values read
from a log database
actions
Emulated
Entities
sources
Application
Other means to simulate accurately the physical environment can be
achieved using the simulation programming framework
56
73. Emulated entities Simulated people Physical layout Physical properties
Simulation scenario
Integration in the
tool suite
• 2D graphical renderer
based on Siafu
• Rendering of the
physical properties
• Time-control
- Play
- Pause
- Slow down
- Speed up
58
75. Validation
Simulation of a school building
• 110 simulated entities
• 200 simulated people
• 6 pervasive computing applications
- Newscast
- Anti-intrusion
- Access control
- Light management
- Fire management
- Heat regulation
60
76. Validation
Simulation of a school building
• 110 simulated entities
• 200 simulated people
• 6 pervasive computing applications
➡ Executed on a 3-year old laptop
✓ Scalability
✓ Performance
61
77. Usability
• Used as part of labs
• In Bordeaux and Grenoble
• Students with modest knowledge in
Software Engineering
62
78. Usability
Used as a testing platform in our research group
DiaSuite
“A Tool Suite to Prototype Pervasive Computing Applications”,
Damien Cassou, Julien Bruneau and Charles Consel, PERCOM 2010, Demo
63
79. Usability
Used as a testing platform in our research group
Pantagruel
“A Visual, Open-Ended Approach to Prototyping Ubiquitous
Computing Applications”,
Zoe Drey and Charles Consel, PERCOM 2010, Demo
64
80. Conclusion
✓ Area-specific simulator
- Parameterized by a high-level description of the entities
✓ Transparent and hybrid simulation
- Generation of a programming abstraction layer
✓ Testing a wide range of scenarios
- Generation of a simulation support
- Physically-accurate simulation
- Hybrid environment support
65
81. Perspectives
• Validation of our simulation approach
- Comparison with a valid simulator
(e.g., EnergyPlus)
- Comparison with a real deployment
• Simulation of the non-functional extensions of DiaSpec
- Prevention of access conflicts to resources
(DAIS 2011)
- Error handling (OOPSLA 2010)
- Performance (FASE 2011)
66
82. Perspectives
• Enhancing the system monitoring
- Specification of interesting simulation events
- Interfacing a 3D simulator
(e.g., Blender)
• Complementing our simulation approach
- Simulation of human behavior (e.g., Golaem)
- Network simulation (e.g., ns2, Tossim)
67
83. Simulation
DiaSim: A Simulator for Pervasive Computing Applications
Software: Practice and Experience, 2012
Julien Bruneau and Charles Consel
DiaSim: A Parameterized Simulator for Pervasive Computing Applications
Mobiquitous, 2009
Julien Bruneau, Wilfried Jouve, and Charles Consel
Virtual Testing for Smart Buildings
International Conference on Intelligent Environments, 2012
Julien Bruneau, Charles Consel, Marcia O’Malley, Walid Taha, and Wail Masry Hannourah
Tool-based development methodology
Towards a Tool-based Development Methodology for Pervasive Computing Applications
IEEE Transactions on Software Engineering, 2011
Damien Cassou, Julien Bruneau, Charles Consel, and Emilie Balland
DiaSuite: A Tool Suite to Develop Sense/Compute/Control Applications
Science of Computer Programming, 2012
Benjamin Bertran, Julien Bruneau, Damien Cassou, Nicolas Loriant, Charles Consel, and Emilie Balland
Demonstrations and Posters
PerCom 2009 (demo), ICPS 2009 (demo), PerCom 2010 (demo),
Mobiquitous 2010 (poster), SPLASH 2010 (poster)
68
Hinweis der Redaktion
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Orchestration of networked entities\n
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Need to specify the impact of sensors and actuators on the physical environment\n
Need to specify the impact of sensors and actuators on the physical environment\n
Simulation impacted the DiaSpec design as we needed to add information about sensors and actuators\n
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Physical layout = graphical representations, locations/rooms and walls\n
Physical layout = graphical representations, locations/rooms and walls\n