Naslov
The Stability of Threshold Values for Software Metrics in Software Defect Prediction

Autori
Mauša, Goran ; Galinac Grbac, Tihana

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

Izvornik
Lecture Notes in Computer Science, vol 10563 / Ouhammou, Y. ; Ivanovic, M. ; Abelló, A. ; Bellatreche, L. - : Springer, 2017, 81-95

ISBN
978-3-319-66854-3

Skup
7th International Conference on Model and Data Engineering

Mjesto i datum
Barcelona, Španjolska, 04.10.2017. - 06.10.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Software metrics ; Threshold ; Data imbalance ; Software defect prediction

Sažetak
Software metrics measure the complexity and quality in many empirical case studies. Recent studies have shown that threshold values can be detected for some metrics and used to predict defect-prone system modules. The goal of this paper is to empirically validate the stability of threshold values. Our aim is to analyze a wider set of software metrics than it has been previously reported and to perform the analysis in the context of different levels of data imbalance. We replicate the case study of deriving thresholds for software metrics using a statistical model based on logistic regression. Furthermore, we analyze threshold stability in the context of varying level of data imbalance. The methodology is validated using a great number of subsequent releases of open source projects. We revealed that threshold values of some metrics could be used to effectively predict defect-prone modules. Moreover, threshold values of some metrics may be influenced by the level of data imbalance. The results of this case study give a valuable insight into the importance of software metrics and the presented methodology may also be used by software quality assurance practitioners.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

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