caa a22 4500 605495580 CHVBK 20210128100532.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s11219-014-9229-3 doi (NATIONALLICENCE)springer-10.1007/s11219-014-9229-3 Ullah Najeeb CECOS University of IT and Emerging Sciences, Peshawar, KPK, Pakistan aut A method for predicting open source software residual defects [Elektronische Daten] [Najeeb Ullah] Nowadays many commercial projects use open source applications or components (OSS). A recurring problem is therefore the selection of the most appropriate OSS for a project. A relevant criterion for selection is the reliability of the OSS. In this paper, we propose a method that selects the software reliability growth model (SRGM), which among several alternative models best predicts the reliability of the OSS, in terms of residual defects. Several methods exist for predicting residual defects in software, and a widely used method is SRGM. SRGM has underlying assumptions, which are often violated in practice, but empirical evidence has shown that many models are quite robust despite these assumption violations. However, within the SRGM family, many models are available, and it is often difficult to know which models are better to apply in a given context. We present an empirical method that applies various SRGMs iteratively on OSS defect data and selects the model which best predicts the residual defects of the OSS. We empirically validate the method by applying it to defect data collected from 21 different releases of 7 OSS projects. The results show that the method helps in selecting the best model among several alternative models. The method selects the best model 17 times out of 21. In the remaining 4, it selects the second best model. Springer Science+Business Media New York, 2014 Open source software nationallicence Software reliability nationallicence Software reliability models nationallicence Software reliability growth models nationallicence Software selection nationallicence Software Quality Journal Springer US; http://www.springer-ny.com 23/1(2015-03-01), 55-76 0963-9314 23:1<55 2015 23 11219 https://doi.org/10.1007/s11219-014-9229-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11219-014-9229-3 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Ullah Najeeb CECOS University of IT and Emerging Sciences, Peshawar, KPK, Pakistan aut NATIONALLICENCE 773 0- Software Quality Journal Springer US; http://www.springer-ny.com 23/1(2015-03-01), 55-76 0963-9314 23:1<55 2015 23 11219