1. Object oriented metrics in defect prediction
Authors : Gursimrat Singh, Shelly Garg
Pages : 197-199
DOI : http://dx.doi.org/10.21172/1.93.34
Keywords : Object-oriented metricsANN model Abstract :Testing of large systems is an example of a resource- and time-consuming activity. Applying equal testing and verification effort to all parts of a software system has become cost-prohibitive. Therefore, one needs to be able to identify fault-prone modules so that testing/verification effort can be concentrated on these classes. Fault prediction is a mechanism used in software development life cycle to reduce the software failure and is carried out mostly during initial planning to identify fault-prone modules. Fault prediction not only increases the quality of monitoring during software development but also gives suggestions for suitable verification and validation approaches that eventually lead to improvement of efficiency and effectiveness of fault prediction. In this paper we used ANN model for predicting defects in the system. Object-Oriented metrics are used as input for ANN model. The results show that Object-Oriented metrics are performed well for predicting fault-prone modules in a system.
Citing this Journal Article :Gursimrat Singh, Shelly Garg, "Object oriented metrics in defect prediction", Volume 9 Issue 3 - January 2018, 197-199
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