Naslov
Assessing the Impact of Untraceable Bugs on the Quality of Software Defect Prediction Datasets

Autori
Mauša, Goran ; Galinac Grbac, Tihana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of SQAMIA 2016 / Budimac, Zoran ; Horváth, Zoltán ; Kozsik, Tamás - : Univerzitet u Novom Sadu, 2016, 47-56

ISBN
978-86-7031-365-1

Skup
Fifth Workshop on Software Quality Analysis, Monitoring, Improvement and Applications

Mjesto i datum
Budimpešta, Mađarska, 29.08.2016. - 31.08.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
data quality; untraceable bugs; fault-proneness

Sažetak
The results of empirical case studies in Software Defect Prediction are dependent on data obtained by mining and linking separate software repositories. These data often suffer from low quality. In order to overcome this problem, we have already investigated all the issues that influence the data collection process, proposed a systematic data collection procedure and evaluated it. The proposed collection procedure is implemented in the Bug-Code Analyzer tool and used on several projects from the Eclipse open source community. In this paper, we perform additional analysis of the collected data quality. We investigate the impact of untraceable bugs on non- fault-prone category of files, which is, to the best of our knowledge, an issue that has never been addressed. Our results reveal this issue should not be an underestimated one and should be reported along with bugs’ linking rate as a measure of dataset quality.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA