Pregled bibliografske jedinice broj: 959250
Cross-release code churn impact on effort-aware software defect prediction
Cross-release code churn impact on effort-aware software defect prediction // Proceeding of MIPRO 2018
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2018. str. 1460-1466 doi:10.23919/MIPRO.2018.8400263 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 959250 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Cross-release code churn impact on effort-aware software defect prediction
Autori
Miletić, Matija ; Vukušić, Monika ; Mauša, Goran ; Galinac Grbac, Tihana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceeding of MIPRO 2018
/ - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2018, 1460-1466
Skup
41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2018)
Mjesto i datum
Opatija, Hrvatska, 21.05.2018. - 25.05.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Cross-release code churn ; software defect prediction ; software metrics
Sažetak
Code churn has been successfully used to identify defect inducing changes in software development. Our recent analysis of the cross- release code churn showed that several design metrics exhibit moderate correlation with the number of defects in complex systems. The goal of this paper is to explore whether cross- release code churn can be used to identify critical design change and contribute to prediction of defects for software in evolution. In our case study, we used two types of data from consecutive releases of open- source projects, with and without cross-release code churn, to build standard prediction models. The prediction models were trained on earlier releases and tested on the following ones, evaluating the performance in terms of AUC, GM and effort aware measure Pop. The comparison of their performance was used to answer our research question. The obtained results showed that the prediction model performs better when cross-release code churn is included. Practical implication of this research is to use cross-release code churn to aid in safe planning of next release in software development.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-UIP-2014-09-7945 - Programski sustavi u evoluciji: analiza i inovativni pristupi pametnom upravljanju (EVOSOFT) (Galinac Grbac, Tihana, HRZZ - 2014-09) ( CroRIS)
Ustanove:
Tehnički fakultet, Rijeka