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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

3 Citaten (Scopus)
93 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-2Engels
TitelProceedings of the 16th International Conference on Mining Software Repositories (MSR 2019)
Plaats van productiePiscataway
UitgeverijIEEE Computer Society
Pagina's101-104
Aantal pagina's4
ISBN van elektronische versie978-1-7281-3412-3
DOI's
StatusGepubliceerd - 1 mei 2019
Evenement16th IEEE/ACM International Conference on Mining Software Repositories, MSR 2019 - Montreal, Canada
Duur: 26 mei 201927 mei 2019

Congres

Congres16th IEEE/ACM International Conference on Mining Software Repositories, MSR 2019
LandCanada
StadMontreal
Periode26/05/1927/05/19

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