LEADER 03150nam 22004935 450 001 9910350229603321 005 20200701050846.0 010 $a981-13-7131-8 024 7 $a10.1007/978-981-13-7131-8 035 $a(CKB)4100000008525910 035 $a(DE-He213)978-981-13-7131-8 035 $a(MiAaPQ)EBC5746529 035 $a(PPN)235669431 035 $a(EXLCZ)994100000008525910 100 $a20190403d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFault Prediction Modeling for the Prediction of Number of Software Faults /$fby Santosh Singh Rathore, Sandeep Kumar 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (XIII, 78 p. 8 illus., 1 illus. in color.) 225 1 $aSpringerBriefs in Computer Science,$x2191-5768 311 $a981-13-7130-X 327 $aIntroduction -- Techniques used for the Prediction of Number of Faults -- Homogeneous Ensemble Methods for the Prediction of Number of Faults -- Linear Rule based Ensemble Methods for the prediction of Number of Faults -- Non-Linear Rule based Ensemble Methods for the prediction of Number of Faults -- Conclusions. 330 $aThis book addresses software faults?a critical issue that not only reduces the quality of software, but also increases their development costs. Various models for predicting the fault-proneness of software systems have been proposed; however, most of them provide inadequate information, limiting their effectiveness. This book focuses on the prediction of number of faults in software modules, and provides readers with essential insights into the generalized architecture, different techniques, and state-of-the art literature. In addition, it covers various software fault datasets and issues that crop up when predicting number of faults. A must-read for readers seeking a ?one-stop? source of information on software fault prediction and recent research trends, the book will especially benefit those interested in pursuing research in this area. At the same time, it will provide experienced researchers with a valuable summary of the latest developments. . 410 0$aSpringerBriefs in Computer Science,$x2191-5768 606 $aSoftware engineering 606 $aComputer industry 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 606 $aThe Computer Industry$3https://scigraph.springernature.com/ontologies/product-market-codes/I24016 615 0$aSoftware engineering. 615 0$aComputer industry. 615 14$aSoftware Engineering. 615 24$aThe Computer Industry. 676 $a005.1 700 $aRathore$b Santosh Singh$4aut$4http://id.loc.gov/vocabulary/relators/aut$01061957 702 $aKumar$b Sandeep$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910350229603321 996 $aFault Prediction Modeling for the Prediction of Number of Software Faults$92521583 997 $aUNINA