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Data Collection for Software Defect Prediction – an Exploratory Case Study of Open Source Software Projects


Mauša, Goran; Galinac Grbac, Tihana; Dalbelo Bašić, Bojana
Data Collection for Software Defect Prediction – an Exploratory Case Study of Open Source Software Projects // Proceedings of MIPRO CTI 2015 / Biljanović, Petar (ur.).
Rijeka: Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO, 2015. str. 513-519 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Data Collection for Software Defect Prediction – an Exploratory Case Study of Open Source Software Projects

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 MIPRO CTI 2015 / Biljanović, Petar - Rijeka : Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO, 2015, 513-519

ISBN
978-953-233-083-0

Skup
38th International Convention MIPRO 2015

Mjesto i datum
Opatija, Croatia, 25-29.05.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
software defect prediction; mining software repositories

Sažetak
Software Defect Prediction (SDP) empirical studies are highly biased with the quality of data and widely suffer from limited generalizations. The main reasons are the lack of data and its systematic data collection procedures. Our research aims at producing the first systematically defined data collection procedure for SDP datasets that are obtained by linking separate development repositories. This paper is the first step to achieving that objective, performing an exploratory study. We review the existing literature on approaches and tools used in the collection of SDP datasets, derive a detailed collection procedure and test it in this exploratory study. We quantify the bias that may be caused by the issues we identified and we review 35 tools for software product metrics collection. The most critical issues are many-to-many relation between bug-file links, duplicated bug-file links and the issue of untraceable bugs. Our research provides more detailed, experience based data collection procedure, crucial for further development of SDP body of knowledge. Furthermore, our findings enabled us to develop the automatic data collection tool.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
13.09.2.2.16.

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb,
Tehnički fakultet, Rijeka

Citiraj ovu publikaciju

Mauša, Goran; Galinac Grbac, Tihana; Dalbelo Bašić, Bojana
Data Collection for Software Defect Prediction – an Exploratory Case Study of Open Source Software Projects // Proceedings of MIPRO CTI 2015 / Biljanović, Petar (ur.).
Rijeka: Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO, 2015. str. 513-519 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Mauša, G., Galinac Grbac, T. & Dalbelo Bašić, B. (2015) Data Collection for Software Defect Prediction – an Exploratory Case Study of Open Source Software Projects. U: Biljanović, P. (ur.)Proceedings of MIPRO CTI 2015.
@article{article, editor = {Biljanovi\'{c}, P.}, year = {2015}, pages = {513-519}, keywords = {software defect prediction, mining software repositories}, isbn = {978-953-233-083-0}, title = {Data Collection for Software Defect Prediction – an Exploratory Case Study of Open Source Software Projects}, keyword = {software defect prediction, mining software repositories}, publisher = {Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO}, publisherplace = {Opatija, Croatia} }