Understanding bug fixes in Ant: An observational study

Publication Type

Conference Proceeding Article

Publication Date

11-2014

Abstract

Maisqual Ant Dataset introduces the Apache Ant weekly dataset, featuring 636 extracts of the project over 12 years at different levels of artifacts- application, files, and functions. By associating community and process related information to code extracts, this dataset unveils interesting perspectives on the evolution of one of the great success stories of open source. In this paper, we analyze development dataset extracted on Monday of every week since the beginning of the project until end of July, 2012. By examining the correlation between number of developers, number of bugs fixed and number of commits done, we find evidence that developers maintain a reasonably good level of performance in the term of bug fixing. Using point plotting, we find that the number of source lines of code (SLOC) is impacted by the version release in the development period and maintenance period. This effect is also influenced by the number of bugs fixed and the number of commits done during the version release.

Keywords

Software Engineering, Software Metrics, Source code metrics, Source Lines of Code

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

2014 International Conference on Contemporary Computing and Informatics (IC3I): Mysore, India, November 27-29: Proceedings

First Page

243

Last Page

248

ISBN

9781479966295

Identifier

10.1109/IC3I.2014.7019731

Publisher

IEEE

City or Country

Piscataway, NJ

Embargo Period

6-23-2021

Additional URL

https://doi.org/10.1109/IC3I.2014.7019731

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