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COMETS: a dataset for empirical research on software evolution using source code metrics and time series analysis

Published: 23 January 2013 Publication History

Abstract

This paper documents a time series dataset on the evolution of seventeen object-oriented metrics extracted from ten open- source systems. By making this dataset public our goal is to assist researchers with interest in software evolution analysis and modeling.

References

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S. R. Chidamber and C. F. Kemerer. A metrics suite for object oriented design. IEEE Transactions on Software Engineering, 20:476--493, 6 1994.
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Cesar Couto, Christofer Silva, Marco Tulio Valente, Roberto Bigonha, and Nicolas Anquetil. Uncovering causal relationships between software metrics and bugs. In 16th European Conference on Software Maintenance and Reengineering (CSMR), pages 223--232, 2012.
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Marco D'Ambros, Michele Lanza, and Romain Robbes. An extensive comparison of bug prediction approaches. In 7th Working Conference on Mining Software Repositories (MSR), pages 31--41, 2010.
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Michele Lanza, Radu Marinescu, and Stephane Ducasse. Object-Oriented Metrics in Practice. Springer-Verlag, 2005.
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Henrique Rocha, Cesar Couto, Cristiano Maffort, Rogel Garcia, Clarisse Simoes, Leonardo Passos, and Marco Tulio Valente. Mining the impact of evolution categories on object-oriented metrics. Software Quality Journal, 2013. To appear.
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Ewan Tempero, Craig Anslow, Jens Dietrich, Ted Han, Jing Li, Markus Lumpe, Hayden Melton, and James Noble. Qualitas corpus: A curated collection of Java code for empirical studies. In Asia Pacific Software Engineering Conference (APSEC), pages 336--345, December 2010.
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Rajesh Vasa, Markus Lumpe, and Allan Jones. Helix - Software Evolution Data Set, 2010. http://www.ict.swin.edu.au/research/projects/helix.

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  • (2024)Evolution of internal dimensions in object‐oriented software–A time series based approachSoftware: Practice and Experience10.1002/spe.331054:6(1034-1073)Online publication date: 21-Jan-2024
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  • (2022)A time series-based dataset of open-source software evolutionProceedings of the 19th International Conference on Mining Software Repositories10.1145/3524842.3528492(702-706)Online publication date: 23-May-2022
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Published In

cover image ACM SIGSOFT Software Engineering Notes
ACM SIGSOFT Software Engineering Notes  Volume 38, Issue 1
January 2013
109 pages
ISSN:0163-5948
DOI:10.1145/2413038
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 January 2013
Published in SIGSOFT Volume 38, Issue 1

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Cited By

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  • (2024)Evolution of internal dimensions in object‐oriented software–A time series based approachSoftware: Practice and Experience10.1002/spe.331054:6(1034-1073)Online publication date: 21-Jan-2024
  • (2022)In-Depth Analysis and Prediction of Coupling Metrics of Open Source Software ProjectsJournal of Information Technology Research10.4018/JITR.30126715:1(1-16)Online publication date: 27-Jul-2022
  • (2022)A time series-based dataset of open-source software evolutionProceedings of the 19th International Conference on Mining Software Repositories10.1145/3524842.3528492(702-706)Online publication date: 23-May-2022
  • (2021)Success and Failure in Software Engineering: A Followup Systematic Literature ReviewIEEE Transactions on Engineering Management10.1109/TEM.2020.297664268:2(599-611)Online publication date: Apr-2021
  • (2021)QScored: A Large Dataset of Code Smells and Quality Metrics2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR)10.1109/MSR52588.2021.00080(590-594)Online publication date: May-2021
  • (2019)Analysis of Coupling Evolution on Open Source SystemsProceedings of the XIII Brazilian Symposium on Software Components, Architectures, and Reuse10.1145/3357141.3357147(23-32)Online publication date: 23-Sep-2019
  • (2018)Defects in The Next Release; Software Defect Prediction Based on Source Code VersionsElectrical Engineering (ICEE), Iranian Conference on10.1109/ICEE.2018.8472535(1589-1594)Online publication date: May-2018
  • (2017)Applying software metric thresholds for detection of bad smellsProceedings of the 11th Brazilian Symposium on Software Components, Architectures, and Reuse10.1145/3132498.3134268(1-10)Online publication date: 18-Sep-2017
  • (2015)Automatic metric thresholds derivation for code smell detectionProceedings of the Sixth International Workshop on Emerging Trends in Software Metrics10.5555/2821491.2821501(44-53)Online publication date: 16-May-2015
  • (2015)Automatic Metric Thresholds Derivation for Code Smell DetectionProceedings of the 2015 IEEE/ACM 6th International Workshop on Emerging Trends in Software Metrics10.1109/WETSoM.2015.14(44-53)Online publication date: 17-May-2015
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