Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics

Nicholas M. Synovic; Matt Hyatt; Rohan Sethi; Sohini Thota; Shilpika; Allan J. Miller; Wenxin Jiang; Emmanuel S. Amobi; Austin Pinderski; Konstantin Läufer; Nicholas J. Hayward; Neil Klingensmith; James C. Davis; George K. Thiruvathukal

doi:10.1145/3551349.3559517

Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics

Nicholas M. Synovic
, Matt Hyatt
, Rohan Sethi
, Sohini Thota
, Shilpika
, Allan J. Miller
, Wenxin Jiang
, Emmanuel S. Amobi
, Austin Pinderski
, Konstantin Läufer
, Nicholas J. Hayward
, Neil Klingensmith
, James C. Davis
, George K. Thiruvathukal

Loyola University Chicago

Loyola University of Chicago
University of California, Davis
Purdue University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022
Editors	Mario Aehnelt, Thomas Kirste
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450396240
DOIs	https://doi.org/10.1145/3551349.3559517
State	Published - Sep 19 2022
Event	37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022 - Rochester, United States Duration: Oct 10 2022 → Oct 14 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022
Country/Territory	United States
City	Rochester
Period	10/10/22 → 10/14/22

ASJC Scopus Subject Areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Keywords

Empirical software engineering
Software metrics

Access to Document

10.1145/3551349.3559517

Cite this

Synovic, N. M., Hyatt, M., Sethi, R., Thota, S., Shilpika, Miller, A. J., Jiang, W., Amobi, E. S., Pinderski, A., Läufer, K., Hayward, N. J., Klingensmith, N., Davis, J. C., & Thiruvathukal, G. K. (2022). Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. In M. Aehnelt, & T. Kirste (Eds.), 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022 Article 167 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3551349.3559517

Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. / Synovic, Nicholas M.; Hyatt, Matt; Sethi, Rohan et al.
37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022. ed. / Mario Aehnelt; Thomas Kirste. Association for Computing Machinery, 2022. 167 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Synovic, NM, Hyatt, M, Sethi, R, Thota, S, Shilpika, Miller, AJ, Jiang, W, Amobi, ES, Pinderski, A, Läufer, K , Hayward, NJ, Klingensmith, N, Davis, JC & Thiruvathukal, GK 2022, Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. in M Aehnelt & T Kirste (eds), 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022., 167, ACM International Conference Proceeding Series, Association for Computing Machinery, 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022, Rochester, United States, 10/10/22. https://doi.org/10.1145/3551349.3559517

Synovic NM, Hyatt M, Sethi R, Thota S, Shilpika, Miller AJ et al. Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. In Aehnelt M, Kirste T, editors, 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022. Association for Computing Machinery. 2022. 167. (ACM International Conference Proceeding Series). doi: 10.1145/3551349.3559517

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Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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