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How do Globally Distributed Agile Teams Self-organise? Initial Insights from a Case Study

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 Added by Stephen MacDonell
 Publication date 2021
and research's language is English




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Agile software developers are required to self-organize, occupying various informal roles as needed in order to successfully deliver software features. However, previous research has reported conflicting evidence about the way teams actually undertake this activity. The ability to self-organize is particularly necessary for software development in globally distributed environments, where distance has been shown to exacerbate human-centric issues. Understanding the way successful teams self-organise should inform distributed team composition strategies and software project governance. We have used psycholinguistics to study the way IBM Rational Jazz practitioners enacted various roles, expressed attitudes and shared competencies to successfully self-organize in their global projects. Among our findings, we uncovered that practitioners enacted various roles depending on their teams cohort of features; and that team leaders were most critical to IBM Jazz teams self-organisation. We discuss these findings and highlight their implications for software project governance.



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The ability to self-organise is posited to be a fundamental requirement for successful agile teams. In particular, self-organising teams are said to be crucial in agile globally distributed software development (AGSD) settings, where distance exacerbates team issues. We used contextual analysis to study the specific interaction behaviours and enacted roles of practitioners working in multiple AGSD teams. Our results show that the teams studied were extremely task focussed, and those who occupied team lead or programmer roles were central to their teams self-organisation. These findings have implications for AGSD teams, and particularly for instances when programmers - or those occupying similar non-leadership positions - may not be willing to accept such responsibilities. We discuss the implications of our findings for information system development (ISD) practice.
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