Information fusion with dempster-shafer evidence theory for software defect prediction

Aytunç Paksoy, Mehmet Göktürk
2011 Procedia Computer Science  
Finding defects in software is a challenging and time and budget consuming task. Minimizing these adverse effects using software defect prediction models via guiding testers with defective parts of software system is an attractive research area. Previous research emphasized the value of these tools with a mean probability of detection of 71 percent and mean false alarm rates of 25 percent. This paper examines software defect prediction and aims to improve prediction results using information
more » ... ion technique. Results indicate that the prediction results can be improved using Dempster-Shafer Evidence Theory for information fusion. Software Defect Prediction, Dempster-Shafer Evidence Theory, Information Fusion, Software Engineering * Aytunç Paksoy. Tel.: +90 262 605 223; Fax: +90 262 605 2205.
doi:10.1016/j.procs.2010.12.100 fatcat:3epvql7szba7tdy6us4gmdu7hy