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  • Lecture Notes in Informatics
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  • Software Engineering
  • P267 - Software Engineering 2017
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Comparing Pre Commit Reviews and Post Commit Reviews Using Process Simulation

Author:
Baum, Tobias [DBLP] ;
Kortum, Fabian [DBLP] ;
Schneider, Kurt [DBLP] ;
Brack, Arthur [DBLP] ;
Schauder, Jens [DBLP]
Abstract
Previous studies found that two variations of change-based code review are used in in- dustry: Pre commit review and post commit review. Which one is better in a given situation is not obvious. So we asked: Are there practically relevant performance differences between pre and post commit reviews? How are these differences influenced by contextual factors? To assess these ques- tions, we designed and validated a parametric discrete event simulation model of certain agile devel- opment processes. Our analysis indicates that the best choice does depend on the context, but also that there are many situations with no practically relevant difference between both choices. We iden- tified the main influencing factors and underlying effects and condensed our findings into heuristic rules.
  • Citation
  • BibTeX
Baum, T., Kortum, F., Schneider, K., Brack, A. & Schauder, J., (2017). Comparing Pre Commit Reviews and Post Commit Reviews Using Process Simulation. In: Jürjens, J. & Schneider, K. (Hrsg.), Software Engineering 2017. Bonn: Gesellschaft für Informatik e.V.. (S. 117).
@inproceedings{mci/Baum2017,
author = {Baum, Tobias AND Kortum, Fabian AND Schneider, Kurt AND Brack, Arthur AND Schauder, Jens},
title = {Comparing Pre Commit Reviews and Post Commit Reviews Using Process Simulation},
booktitle = {Software Engineering 2017},
year = {2017},
editor = {Jürjens, Jan AND Schneider, Kurt} ,
pages = { 117 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info

ISBN: 978-3-88579-661-9
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2017
Language: en (en)
Content Type: Text/Conference Paper

Keywords

  • Pre- and Post Commit Review
  • Agile Software Development
  • Discrete Event Simulation
Collections
  • P267 - Software Engineering 2017 [57]

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Diese Digital Library basiert auf DSpace.

 

 


About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.