Name
Title | ||
|---|---|---|
Does UML modeling associate with lower defect proneness?: a preliminary empirical investigation |
Abstract | ||
|---|---|---|
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.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MSR.2019.00024 | Proceedings of the 16th International Conference on Mining Software Repositories |
Keywords | Field | DocType |
UML, open-source-software, software design, software quality | Data mining,Software design,Software engineering,Unified Modeling Language,Computer science,Software bug,Software system,Software,Software quality,Empirical research,Maintainability | Conference |
ISSN | ISBN | Citations |
2574-3848 | 978-1-7281-3370-6 | 1 |
PageRank | References | Authors |
0.35 | 17 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adithya Raghuraman | 1 | 1 | 0.35 |
| Truong Ho-Quang | 2 | 34 | 5.91 |
| Michel R. V. Chaudron | 3 | 693 | 66.15 |
| Alexander Serebrenik | 4 | 1745 | 150.69 |
| Bogdan Vasilescu | 5 | 935 | 48.75 |