Title :
Understanding bug fixes in Ant: An observational study
Author :
Saha, Simanto ; Jain, Sonal ; Majumder, Subhashis ; Datta, Soupayan
Author_Institution :
Dept. of Comput. Sci. & Eng., Heritage Inst. of Technol., Kolkata, India
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 :
program debugging; public domain software; software maintenance; source code (software); Apache Ant weekly dataset; Maisqual Ant Dataset; SLOC; bug fixing; code extracts; commits; development dataset analyze; development period; maintenance period; open source; performance level; point plotting; source line of code; version release; Computer bugs; Computer science; Informatics; Maintenance engineering; Measurement; Software; Software engineering; Software Engineering; Software Metrics; Source Lines of Code; Source code metrics;
Conference_Titel :
Contemporary Computing and Informatics (IC3I), 2014 International Conference on
Conference_Location :
Mysore
DOI :
10.1109/IC3I.2014.7019731