{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T23:10:21Z","timestamp":1673910621141},"reference-count":15,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Soft. Eng. Knowl. Eng."],"published-print":{"date-parts":[[2014,2]]},"abstract":"<jats:p> The performance of ten classic algorithms to classify the software bugs for different bug repositories are compared. The algorithms included in the study are Na\u00efve Bayes, Na\u00efve Bayes Multinomial, Discriminative Multinomial Na\u00efve Bayes (DMNB), J48, Support Vector Machine, Radial Basis Function (RBF) Neural Network, Classification using Clustering, Classification using Regression, Adaptive Boosting (AdaBoost) and Bagging. These algorithms are applied on four open source bug repositories namely Android, JBoss-Seam, Mozilla and MySql. The classification is evaluated using 10-fold cross validation technique. The accuracy and F-measure parameters are compared for all of the algorithms. The concept of software bug taxonomy hierarchy is also introduced with eleven standard bug categories (classes). The comparative study also covers the effect of number of categories over performance of classifiers in terms of accuracy and F-measure. The results are produced in tabular and graphical forms. <\/jats:p>","DOI":"10.1142\/s0218194014500053","type":"journal-article","created":{"date-parts":[[2014,6,11]],"date-time":"2014-06-11T02:19:24Z","timestamp":1402453164000},"page":"111-138","source":"Crossref","is-referenced-by-count":10,"title":["A Comparative Study of Bug Classification Algorithms"],"prefix":"10.1142","volume":"24","author":[{"given":"Naresh Kumar","family":"Nagwani","sequence":"first","affiliation":[{"name":"Department of Computer Science &amp; Engineering, National Institute of Technology Raipur, India"}]},{"given":"Shrish","family":"Verma","sequence":"additional","affiliation":[{"name":"Department of Electronics &amp; Telecommunication Engineering, National Institute of Technology Raipur, India"}]}],"member":"219","published-online":{"date-parts":[[2014,6,10]]},"reference":[{"key":"rf8","unstructured":"R.\u00a0Quinlan, C4.5 Programs for Machine Learning (Morgan Kaufmann, San Mateo, 1993)\u00a0pp. 1\u201316."},{"key":"rf9","unstructured":"S. M.\u00a0Botros and C. G.\u00a0Atkeson, Advances in Neural Information Processing Systems III, ed. D. S.\u00a0Touretzky (Morgan Kaufmann, San Mateo, CA, 1991)\u00a0pp. 707\u2013713."},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007421302149"},{"key":"rf16","first-page":"123","volume":"24","author":"Breiman L.","journal-title":"Machine Learning"},{"key":"rf23","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009876418873"},{"key":"rf24","first-page":"425","volume":"27","author":"Grottke M.","journal-title":"Journal of Reliablity Engineering Association of Japan"},{"key":"rf26","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009752403260"},{"key":"rf27","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007515423169"},{"key":"rf28","first-page":"311","volume":"13","author":"King R. D.","journal-title":"Machine Intelligence, Oxford"},{"key":"rf30","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2008.01.001"},{"key":"rf32","first-page":"18","author":"Wahbeh A. H.","journal-title":"International Journal of Advanced Computer Science and Applications"},{"key":"rf40","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007614523901"},{"key":"rf41","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1016218223"},{"key":"rf44","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.126"}],"container-title":["International Journal of Software Engineering and Knowledge Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218194014500053","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T16:43:26Z","timestamp":1565109806000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218194014500053"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,2]]},"references-count":15,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2014,6,10]]},"published-print":{"date-parts":[[2014,2]]}},"alternative-id":["10.1142\/S0218194014500053"],"URL":"https:\/\/doi.org\/10.1142\/s0218194014500053","relation":{},"ISSN":["0218-1940","1793-6403"],"issn-type":[{"value":"0218-1940","type":"print"},{"value":"1793-6403","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,2]]}}}