DocumentCode :
600291
Title :
The effect of branching strategies on software quality
Author :
Shihab, Emad ; Bird, Christian ; Zimmermann, Thomas
Author_Institution :
Software Anal. & Intell. Lab. (SAIL), Queens Univ., Kingston, ON, Canada
fYear :
2012
fDate :
20-21 Sept. 2012
Firstpage :
301
Lastpage :
310
Abstract :
Branching plays a major role in the development process of large software. Branches provide isolation so that multiple pieces of the software system can be modified in parallel without affecting each other during times of instability. However, branching has its own issues. The need to move code across branches introduces additional overhead and branch use can lead to integration failures due to conflicts or unseen dependencies. Although branches are used extensively in commercial and open source development projects, the effects that different branch strategies have on software quality are not yet well understood. In this paper, we present the first empirical study that evaluates and quantifies the relationship between software quality and various aspects of the branch structure used in a software project. We examine Windows Vista and Windows 7 and compare components that have different branch characteristics to quantify differences in quality. We also examine the effectiveness of two branching strategies - branching according to the software architecture versus branching according to organizational structure. We find that, indeed, branching does have an effect on software quality and that misalignment of branching structure and organizational structure is associated with higher post-release failure rates.
Keywords :
software architecture; software quality; Windows 7; Windows Vista; branching strategy; commercial software; open source software; organizational structure; post-release failure rate; software architecture; software development process; software quality; Computer architecture; Entropy; Linear regression; Measurement; Organizations; Software quality; Branching; Quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Empirical Software Engineering and Measurement (ESEM), 2012 ACM-IEEE International Symposium on
Conference_Location :
Lund
ISSN :
1938-6451
Print_ISBN :
978-1-4503-1056-7
Electronic_ISBN :
1938-6451
Type :
conf
DOI :
10.1145/2372251.2372305
Filename :
6475431
Link To Document :
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