Naslov
Multivariate Logistic Regression Prediction of Fault-Proneness in Software Modules

Autori
Mauša, Goran ; Galinac Grbac, Tihana ; Dalbelo Bašić, Bojana

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

Izvornik
Proceedings of the 35th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2012 / Golubić, Stjepan ; Mikac, Branko ; Hudek, Vlasta - , 2012, 813-818

ISBN
978-1-4673-2577-6

Skup
International Convention on Information and Communication Technology, Electronics and Microelectronics

Mjesto i datum
Opatija, Hrvatska, 21.05.2012. - 25.05.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
fault-proneness; logistic regression

Sažetak
This paper explores additional features, provided by stepwise logistic regression, which could further improve performance of fault predicting model. Three different models have been used to predict fault-proneness in NASA PROMISE data set and have been compared in terms of accuracy, sensitivity and false alarm rate: one with forward stepwise logistic regression, one with backward stepwise logistic regression and one without stepwise selection in logistic regression. Despite an obvious trade-off between sensitivity and false alarm rate, we can conclude that backward stepwise regression gave the best model.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA