The Impact of Task Granularity on Co-evolution Analyses

Authors: Keisuke Miura Shane McIntosh Yasutaka Kamei Ahmed E. Hassan Naoyasu Ubayashi

Venue: ESEM   10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, pp. 1–10, 2016

Year: 2016

Abstract: Background: Substantial research in the software evolution field aims to recover knowledge about development from the project history that is archived in repositories, such as a Version Control System (VCS). However, the data that is archived in these repositories can be analyzed at different levels of granularity. Although software evolution is a well-studied phenomenon at the revision-level, revisions may be too fine-grained to accurately represent development tasks.

BibTeX:

@inproceedings{keisukemiura2016tiotgoca,
    author = "Keisuke Miura and Shane McIntosh and Yasutaka Kamei and Ahmed E. Hassan and Naoyasu Ubayashi",
    title = "The Impact of Task Granularity on Co-evolution Analyses",
    year = "2016",
    pages = "1–10",
    booktitle = "Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and
            Measurement
        "
}

Plain Text:

Keisuke Miura, Shane McIntosh, Yasutaka Kamei, Ahmed E. Hassan, and Naoyasu Ubayashi, "The Impact of Task Granularity on Co-evolution Analyses," 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, pp. 1–10