Quantifying and Mitigating Turnover-Induced Knowledge Loss: Case Studies of Chrome and a Project at Avaya

The utility of source code, as of other knowledge artifacts, is predicated on the existence of individuals skilled enough to derive value by using or improving it. Developers leaving a software project deprive the project of the knowledge of the decisions they have made. Previous research shows that...

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Veröffentlicht in:	Proceedings / International Conference on Software Engineering S. 1006 - 1016
Hauptverfasser:	Rigby, Peter C., Yue Cai Zhu, Donadelli, Samuel M., Mockus, Audris
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 01.05.2016
Schlagworte:	Adaptation models Knowledge Distribution Loss measurement Mining Software Repositories Monte Carlo methods Productivity Quantitative Risk Management Risk management Software Software engineering Successors Truck Factor Turnover
ISSN:	1558-1225
Online-Zugang:	Volltext
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