Change search
ReferencesLink to record
Permanent link

Direct link
Measuring feature team characteristics of software development teams
KTH, School of Computer Science and Communication (CSC).
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This report evaluates the team-structure of three software maintenance teams in order to decide their level of featureness (a term that defines to what extent a team has the quality (the set of characteristics) of being a feature team). Simulations of changes that are expressed as beneficial in an agile environment and that could increase the teams‘ level of featureness within the team structure are performed. The results show that each team‘s level of featureness is affected differently by each change. Partly, this underlines the importance of understanding the current team-structure before implementing changes that aim to increase the level of featureness. And secondly, within the scope of the study, the change where a user expert is declared a team member is concluded as the change that increases the teams‘ level of featureness the most. Based on the results the report also concludes that it is essential to implement changes that affect different, which in combination can increase the level of featureness. 

Place, publisher, year, edition, pages
Keyword [en]
Feature team; Software maintenance; Agile Software Development; Cross-Functional; Self-managed
National Category
Human Computer Interaction
URN: urn:nbn:se:kth:diva-192371OAI: diva2:967988
External cooperation
Scania IT
Subject / course
Human - Computer Interaction
Educational program
Master of Science - Computer Science
Available from: 2016-10-03 Created: 2016-09-11 Last updated: 2016-10-03Bibliographically approved

Open Access in DiVA

fulltext(2240 kB)5 downloads
File information
File name FULLTEXT01.pdfFile size 2240 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
School of Computer Science and Communication (CSC)
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar
Total: 5 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 8 hits
ReferencesLink to record
Permanent link

Direct link