SlideShare ist ein Scribd-Unternehmen logo
1 von 18
Downloaden Sie, um offline zu lesen
USING SOCIAL NETWORK
ANALYSIS FOR SOFTWARE
PROJECT MANAGEMENT
ICEMI 2014, HONG KONG 15-16 FEBRUARY 2014

PROF. PANOS FITSILIS
(FITSILIS@TEILAR.GR)

TECHNOLOGICAL EDUCATION INSTITUTE OF THESSALY
CONTENTS
• Contemporary Trends on Project managements
• How SNA can be used in the context of Software
Engineering and Software Project Management

• The ONSOCIAL project
TYPICAL PROJECT MANAGEMENT APPROACHES
• Project Management Institute – Body of Knowledge
• www.pmi.org
• Integration, scope, time, cost, quality, HR,
communication,

Process

• PRINCE
• www.prince2.com

• IPMA Competence Baseline
• www.ipma.ch
• Technical, behavioral, contextual

• Agile methods
• XP, Scrum, Crystal Reports, etc.

People
WHAT ARE THE INTANGIBLES IN SPM?
DEFINITION OF INTANGIBLES
The factors not shown in the traditional project analysis,

but which are of critical importance for the project and
the organization’s future success.

Using Social Networking to discover the
intangibles

How we select our team?
How we decide on our team composition?
What knowledge we are missing?
What requirements to include in our release?
Which tests to execute?
SOCIAL NETWORKS AND KNOWLEDGE MANAGEMENT
• Why Social Networks in KMS?
People

Knowledge
Management
Processes

Content

Knowledge Management involves people, technology, and processes in
Overlapping parts.
TRANSFORMING TACIT KNOWLEDGE TO EXPLICIT
KNOWLEDGE
TACIT
KNOWLEDGE

SOCIAL
NETWORK
ANALYSIS

EXPLICIT
KNOWLEDGE

Potential for
knowledge
extraction
Software Project Ontology
Personnel information

…

Personnel knowledge
evaluation

5

Social network

Knowledge management

Team selection
Project knowledge management based on social networks
SOCIAL NETWORK ANALYSIS
Social network analysis [SNA] is the mapping and measuring of relationships and
flows between people, groups, organizations, computers or other
information/knowledge processing entities.
The nodes in the network are the people and groups while the links show
relationships or flows between the nodes.
We measure Social Network in terms of:
• 1. Degree Centrality:
•

The number of direct connections a node has.

• 2. Betweenness Centrality:
•

A node with high betweenness has great influence over what flows in the network
indicating important links and single point of failure.

• 3. Closeness Centrality:
•

The measure of closeness of a node which are close to everyone else.
DIMENSION FOR TEAM SELECTION
Projects

Roles

Locations

Model
Resources

Knowledge

Tasks

Agents
NETWORK OF CONNECTIONS/1
NETWORK OF CONNECTIONS/2
COLLABORATION NET FOR AGENTS
(AGENT X AGENT)
Project A
Project B

Project C
NETWORK THAT RELATES TEAM MEMBERS, PROJECTS AND
KNOWLEDGE

Project team members

Knowledge/skills

Projects
PROJECT NETWORK PRESENTING CLASSES
KNOWLEDGE AND PROJECTS
Knowledge required by each project

Knowledge/skills

Projects
ONSOCIAL PROJECT TECHNICAL ARCHITECTURE
PROBLEMS NEED TO BE ADDRESSED
• Data extraction from different Social Networks
• Sparse data usage (profiles are empty)

• Unique identification of profiles
• Creating/keeping current enterprise data corpus
• Selecting most appropriate algorithm for matching
profiles.
CONCLUSION
• We have presented
• How social network analysis can be used in order to
improve software project management
• Different scenarios that can help improve project analysis
• Project selection
• Team and knowledge analysis
• Requirements management
• Improving testing

• Based on solid theoretical framework (graph theory)

Weitere ähnliche Inhalte

Andere mochten auch

Uu no 8 tahun 1995 tentang pasar modal
Uu no 8 tahun 1995 tentang pasar modalUu no 8 tahun 1995 tentang pasar modal
Uu no 8 tahun 1995 tentang pasar modalGilang Syahya
 
Leading Local Consumer Guide
Leading Local Consumer GuideLeading Local Consumer Guide
Leading Local Consumer Guidellopez_llcg
 
Technolocical trends for the next years
Technolocical trends for the next yearsTechnolocical trends for the next years
Technolocical trends for the next yearsPanos Fitsilis
 
5.communication management
5.communication management5.communication management
5.communication managementPanos Fitsilis
 
2. research with commercial potential
2. research with commercial potential2. research with commercial potential
2. research with commercial potentialPanos Fitsilis
 
Inter national standards for project management - fitsilis
Inter national standards for project management - fitsilisInter national standards for project management - fitsilis
Inter national standards for project management - fitsilisPanos Fitsilis
 

Andere mochten auch (10)

Economía amilcar
Economía amilcarEconomía amilcar
Economía amilcar
 
6.team management
6.team management6.team management
6.team management
 
Etica y moral
Etica y moralEtica y moral
Etica y moral
 
Uu no 8 tahun 1995 tentang pasar modal
Uu no 8 tahun 1995 tentang pasar modalUu no 8 tahun 1995 tentang pasar modal
Uu no 8 tahun 1995 tentang pasar modal
 
Leading Local Consumer Guide
Leading Local Consumer GuideLeading Local Consumer Guide
Leading Local Consumer Guide
 
Fitsilis app economy
Fitsilis app economyFitsilis app economy
Fitsilis app economy
 
Technolocical trends for the next years
Technolocical trends for the next yearsTechnolocical trends for the next years
Technolocical trends for the next years
 
5.communication management
5.communication management5.communication management
5.communication management
 
2. research with commercial potential
2. research with commercial potential2. research with commercial potential
2. research with commercial potential
 
Inter national standards for project management - fitsilis
Inter national standards for project management - fitsilisInter national standards for project management - fitsilis
Inter national standards for project management - fitsilis
 

Ähnlich wie Project knowledge management based on social networks

ONA and the tools landscape
ONA and the tools landscapeONA and the tools landscape
ONA and the tools landscapePatti Anklam
 
Visualizing communication at scad school of design
Visualizing communication at scad school of designVisualizing communication at scad school of design
Visualizing communication at scad school of designSAAD ALZAROONI, CM
 
Using Social Network Analysis to Assess Organizational Development Initiatives
Using Social Network Analysis to Assess Organizational Development InitiativesUsing Social Network Analysis to Assess Organizational Development Initiatives
Using Social Network Analysis to Assess Organizational Development InitiativesStephanie Richter
 
Career as Project Manager for Electrical Engineer_PUC_Redwan Ferdous
Career as Project Manager for Electrical Engineer_PUC_Redwan FerdousCareer as Project Manager for Electrical Engineer_PUC_Redwan Ferdous
Career as Project Manager for Electrical Engineer_PUC_Redwan FerdousRedwan Ferdous
 
GHD iConnect - our intranet for the future
GHD iConnect - our intranet for the futureGHD iConnect - our intranet for the future
GHD iConnect - our intranet for the futureMaree Courts
 
ECIR Recommendation Challenges
ECIR Recommendation ChallengesECIR Recommendation Challenges
ECIR Recommendation ChallengesDaniel Kohlsdorf
 
Organizational network analysis RIGA COMM 2019
Organizational network analysis RIGA COMM 2019Organizational network analysis RIGA COMM 2019
Organizational network analysis RIGA COMM 2019Muntis Rudzitis
 
Scaling Approaches to the National Research Platform
Scaling Approaches to the National Research PlatformScaling Approaches to the National Research Platform
Scaling Approaches to the National Research PlatformJerry Sheehan
 
Organisational Network Analysis and Enterprise Architecture
Organisational Network Analysis and Enterprise ArchitectureOrganisational Network Analysis and Enterprise Architecture
Organisational Network Analysis and Enterprise ArchitectureNicole Mathison
 
Strategies and tools to map and analyse developing networks: The case of usin...
Strategies and tools to map and analyse developing networks: The case of usin...Strategies and tools to map and analyse developing networks: The case of usin...
Strategies and tools to map and analyse developing networks: The case of usin...SarahG_SS
 
Bl cybersecurity z_dooly
Bl cybersecurity z_doolyBl cybersecurity z_dooly
Bl cybersecurity z_doolyzdooly
 
Software Startup Engineering: A Systematic Mapping Study
Software Startup Engineering: A Systematic Mapping StudySoftware Startup Engineering: A Systematic Mapping Study
Software Startup Engineering: A Systematic Mapping StudyAnh Nguyen Duc
 
Preliminry report
 Preliminry report Preliminry report
Preliminry reportJiten Ahuja
 
SGCI - Science Gateways - Technology-Enhanced Research Under Consideration of...
SGCI - Science Gateways - Technology-Enhanced Research Under Consideration of...SGCI - Science Gateways - Technology-Enhanced Research Under Consideration of...
SGCI - Science Gateways - Technology-Enhanced Research Under Consideration of...Sandra Gesing
 

Ähnlich wie Project knowledge management based on social networks (20)

ONA and the tools landscape
ONA and the tools landscapeONA and the tools landscape
ONA and the tools landscape
 
Visualizing communication at scad school of design
Visualizing communication at scad school of designVisualizing communication at scad school of design
Visualizing communication at scad school of design
 
Using Social Network Analysis to Assess Organizational Development Initiatives
Using Social Network Analysis to Assess Organizational Development InitiativesUsing Social Network Analysis to Assess Organizational Development Initiatives
Using Social Network Analysis to Assess Organizational Development Initiatives
 
Career as Project Manager for Electrical Engineer_PUC_Redwan Ferdous
Career as Project Manager for Electrical Engineer_PUC_Redwan FerdousCareer as Project Manager for Electrical Engineer_PUC_Redwan Ferdous
Career as Project Manager for Electrical Engineer_PUC_Redwan Ferdous
 
GHD iConnect - our intranet for the future
GHD iConnect - our intranet for the futureGHD iConnect - our intranet for the future
GHD iConnect - our intranet for the future
 
ECIR Recommendation Challenges
ECIR Recommendation ChallengesECIR Recommendation Challenges
ECIR Recommendation Challenges
 
Data-X-Sparse-v2
Data-X-Sparse-v2Data-X-Sparse-v2
Data-X-Sparse-v2
 
Organizational network analysis RIGA COMM 2019
Organizational network analysis RIGA COMM 2019Organizational network analysis RIGA COMM 2019
Organizational network analysis RIGA COMM 2019
 
Scaling Approaches to the National Research Platform
Scaling Approaches to the National Research PlatformScaling Approaches to the National Research Platform
Scaling Approaches to the National Research Platform
 
Organisational Network Analysis and Enterprise Architecture
Organisational Network Analysis and Enterprise ArchitectureOrganisational Network Analysis and Enterprise Architecture
Organisational Network Analysis and Enterprise Architecture
 
Data-X-v3.1
Data-X-v3.1Data-X-v3.1
Data-X-v3.1
 
Strategies and tools to map and analyse developing networks: The case of usin...
Strategies and tools to map and analyse developing networks: The case of usin...Strategies and tools to map and analyse developing networks: The case of usin...
Strategies and tools to map and analyse developing networks: The case of usin...
 
Bl cybersecurity z_dooly
Bl cybersecurity z_doolyBl cybersecurity z_dooly
Bl cybersecurity z_dooly
 
Software Startup Engineering: A Systematic Mapping Study
Software Startup Engineering: A Systematic Mapping StudySoftware Startup Engineering: A Systematic Mapping Study
Software Startup Engineering: A Systematic Mapping Study
 
Preliminry report
 Preliminry report Preliminry report
Preliminry report
 
Communications Ternopil
Communications TernopilCommunications Ternopil
Communications Ternopil
 
Communicatons Fulbright
Communicatons FulbrightCommunicatons Fulbright
Communicatons Fulbright
 
SGCI - Science Gateways - Technology-Enhanced Research Under Consideration of...
SGCI - Science Gateways - Technology-Enhanced Research Under Consideration of...SGCI - Science Gateways - Technology-Enhanced Research Under Consideration of...
SGCI - Science Gateways - Technology-Enhanced Research Under Consideration of...
 
Resume_Rajesh_2016
Resume_Rajesh_2016Resume_Rajesh_2016
Resume_Rajesh_2016
 
Resume
Resume Resume
Resume
 

Kürzlich hochgeladen

UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8DianaGray10
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfDianaGray10
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Will Schroeder
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaborationbruanjhuli
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPathCommunity
 
OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureEric D. Schabell
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesMd Hossain Ali
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDELiveplex
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URLRuncy Oommen
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfAijun Zhang
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfinfogdgmi
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 

Kürzlich hochgeladen (20)

UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
 
201610817 - edge part1
201610817 - edge part1201610817 - edge part1
201610817 - edge part1
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation Developers
 
OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability Adventure
 
20230104 - machine vision
20230104 - machine vision20230104 - machine vision
20230104 - machine vision
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URL
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
20150722 - AGV
20150722 - AGV20150722 - AGV
20150722 - AGV
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdf
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdf
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 

Project knowledge management based on social networks

  • 1. USING SOCIAL NETWORK ANALYSIS FOR SOFTWARE PROJECT MANAGEMENT ICEMI 2014, HONG KONG 15-16 FEBRUARY 2014 PROF. PANOS FITSILIS (FITSILIS@TEILAR.GR) TECHNOLOGICAL EDUCATION INSTITUTE OF THESSALY
  • 2. CONTENTS • Contemporary Trends on Project managements • How SNA can be used in the context of Software Engineering and Software Project Management • The ONSOCIAL project
  • 3. TYPICAL PROJECT MANAGEMENT APPROACHES • Project Management Institute – Body of Knowledge • www.pmi.org • Integration, scope, time, cost, quality, HR, communication, Process • PRINCE • www.prince2.com • IPMA Competence Baseline • www.ipma.ch • Technical, behavioral, contextual • Agile methods • XP, Scrum, Crystal Reports, etc. People
  • 4. WHAT ARE THE INTANGIBLES IN SPM? DEFINITION OF INTANGIBLES The factors not shown in the traditional project analysis, but which are of critical importance for the project and the organization’s future success. Using Social Networking to discover the intangibles How we select our team? How we decide on our team composition? What knowledge we are missing? What requirements to include in our release? Which tests to execute?
  • 5. SOCIAL NETWORKS AND KNOWLEDGE MANAGEMENT • Why Social Networks in KMS? People Knowledge Management Processes Content Knowledge Management involves people, technology, and processes in Overlapping parts.
  • 6. TRANSFORMING TACIT KNOWLEDGE TO EXPLICIT KNOWLEDGE TACIT KNOWLEDGE SOCIAL NETWORK ANALYSIS EXPLICIT KNOWLEDGE Potential for knowledge extraction
  • 7. Software Project Ontology Personnel information … Personnel knowledge evaluation 5 Social network Knowledge management Team selection
  • 9. SOCIAL NETWORK ANALYSIS Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers or other information/knowledge processing entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. We measure Social Network in terms of: • 1. Degree Centrality: • The number of direct connections a node has. • 2. Betweenness Centrality: • A node with high betweenness has great influence over what flows in the network indicating important links and single point of failure. • 3. Closeness Centrality: • The measure of closeness of a node which are close to everyone else.
  • 10. DIMENSION FOR TEAM SELECTION Projects Roles Locations Model Resources Knowledge Tasks Agents
  • 13. COLLABORATION NET FOR AGENTS (AGENT X AGENT) Project A Project B Project C
  • 14. NETWORK THAT RELATES TEAM MEMBERS, PROJECTS AND KNOWLEDGE Project team members Knowledge/skills Projects
  • 15. PROJECT NETWORK PRESENTING CLASSES KNOWLEDGE AND PROJECTS Knowledge required by each project Knowledge/skills Projects
  • 17. PROBLEMS NEED TO BE ADDRESSED • Data extraction from different Social Networks • Sparse data usage (profiles are empty) • Unique identification of profiles • Creating/keeping current enterprise data corpus • Selecting most appropriate algorithm for matching profiles.
  • 18. CONCLUSION • We have presented • How social network analysis can be used in order to improve software project management • Different scenarios that can help improve project analysis • Project selection • Team and knowledge analysis • Requirements management • Improving testing • Based on solid theoretical framework (graph theory)