Does UML modeling associate with lower defect proneness?: a preliminary empirical investigation

Adithya Raghuraman; Truong Ho-Quang; Michel R.V. Chaudron; Alexander Serebrenik; Bogdan Vasilescu

doi:10.1109/MSR.2019.00024

Does UML modeling associate with lower defect proneness? a preliminary empirical investigation

Adithya Raghuraman, Truong Ho-Quang, Michel R.V. Chaudron, Alexander Serebrenik, Bogdan Vasilescu

Software Engineering and Technology

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

10 Citaten (Scopus)

286 Downloads (Pure)

Samenvatting

The benefits of modeling the design to improve the quality and maintainability of software systems have long been advocated and recognized. Yet, the empirical evidence on this remains scarce. In this paper, we fill this gap by reporting on an empirical study of the relationship between UML modeling and software defect proneness in a large sample of open-source GitHub projects. Using statistical modeling, and controlling for confounding variables, we show that projects containing traces of UML models in their repositories experience, on average, a statistically minorly different number of software defects (as mined from their issue trackers) than projects without traces of UML models.

Originele taal-2	Engels
Titel	Proceedings of the 16th International Conference on Mining Software Repositories (MSR 2019)
Plaats van productie	Piscataway
Uitgeverij	IEEE Computer Society
Pagina's	101-104
Aantal pagina's	4
ISBN van elektronische versie	978-1-7281-3412-3
DOI's	https://doi.org/10.1109/MSR.2019.00024
Status	Gepubliceerd - 1 mei 2019
Evenement	16th IEEE/ACM International Conference on Mining Software Repositories, MSR 2019 - Montreal, Canada Duur: 26 mei 2019 → 27 mei 2019

Congres

Congres	16th IEEE/ACM International Conference on Mining Software Repositories, MSR 2019
Land/Regio	Canada
Stad	Montreal
Periode	26/05/19 → 27/05/19

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10.1109/MSR.2019.00024

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Raghuraman, A., Ho-Quang, T., Chaudron, M. R. V., Serebrenik, A., & Vasilescu, B. (2019). Does UML modeling associate with lower defect proneness? a preliminary empirical investigation. In Proceedings of the 16th International Conference on Mining Software Repositories (MSR 2019) (blz. 101-104). Artikel 8816762 IEEE Computer Society. https://doi.org/10.1109/MSR.2019.00024

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Raghuraman, A, Ho-Quang, T, Chaudron, MRV , Serebrenik, A & Vasilescu, B 2019, Does UML modeling associate with lower defect proneness? a preliminary empirical investigation. in Proceedings of the 16th International Conference on Mining Software Repositories (MSR 2019)., 8816762, IEEE Computer Society, Piscataway, blz. 101-104, 16th IEEE/ACM International Conference on Mining Software Repositories, MSR 2019, Montreal, Canada, 26/05/19. https://doi.org/10.1109/MSR.2019.00024

Does UML modeling associate with lower defect proneness? a preliminary empirical investigation. / Raghuraman, Adithya; Ho-Quang, Truong; Chaudron, Michel R.V. et al.
Proceedings of the 16th International Conference on Mining Software Repositories (MSR 2019). Piscataway: IEEE Computer Society, 2019. blz. 101-104 8816762.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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