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
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