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To enhance the practical utility of object-oriented metrics in software industry, various researchers have tried to find relations between these metrics and fault proneness, but very few focus on relating them with the number-offaults in different levels as per their severity rating. In this study, empirical validation is carried out on object-oriented design metrics (i.e. Chidamber and Kemerer CK-metrics suite and source lines of codes) for predicting number-of-faults in different severity levels. Different statistical methods are used to analyze the data, including correlation.<\/jats:p>","DOI":"10.1145\/2047414.2047423","type":"journal-article","created":{"date-parts":[[2011,11,21]],"date-time":"2011-11-21T19:54:36Z","timestamp":1321905276000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Empirical analysis of object-oriented design metrics for predicting high, medium and low severity faults using mallows\n            <i>C<\/i>\n            p"],"prefix":"10.1145","volume":"36","author":[{"given":"Rajender Singh","family":"Chhillar","sequence":"first","affiliation":[{"name":"Maharshi Dayanand University, Rohtak-124001 [Haryana], India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Nisha","sequence":"additional","affiliation":[{"name":"Govt. 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