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As a novel approach, its usage can be extended to support effective testing, such as testing fault-prone components to improve software quality. In this paper, CK (Chidamber and Kemerer) metrics that can be extracted from OCL expressions are validated against module complexity. Moreover, our study proposes a new metric suite that can be directly extracted from OCL expressions to quantify module complexity. A weight has been assigned to each metric to reflect its importance in fault-prone component identification. Our study shows that metrics collected from OCL specifications are good predictors of the fault-prone components of a system during design time. An early knowledge of fault-prone components of the system can be useful to distribute efforts required for software development and testing activities.<\/jats:p>","DOI":"10.1145\/2507288.2507308","type":"journal-article","created":{"date-parts":[[2013,9,3]],"date-time":"2013-09-03T11:57:11Z","timestamp":1378209431000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Empirical evidence on OCL formal specification-based metrics as a predictor of fault-proneness"],"prefix":"10.1145","volume":"38","author":[{"given":"A.","family":"Jalila","sequence":"first","affiliation":[{"name":"Thiagarajar College of Engineering"}]},{"given":"D.","family":"Jeya Mala","sequence":"additional","affiliation":[{"name":"Thiagarajar College of Engineering"}]}],"member":"320","published-online":{"date-parts":[[2013,8,26]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.3844\/jcssp.2008.1012.1019"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/2.962984"},{"volume-title":"Software and Simulation Symposium","year":"2006","author":"Eric W. 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