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CORR
2016
Springer

State-Of-The-Art In Empirical Validation Of Software Metrics For Fault Proneness Prediction: Systematic Review

8 years 7 months ago
State-Of-The-Art In Empirical Validation Of Software Metrics For Fault Proneness Prediction: Systematic Review
With the sharp rise in software dependability and failure cost, high quality has been in great demand. However, guaranteeing high quality in software systems which have grown in size and complexity coupled with the constraints imposed on their development has become increasingly difficult, time and resource consuming activity. Consequently, it becomes inevitable to deliver software that have no serious faults. In this case, object-oriented (OO) products being the de facto standard of software development with their unique features could have some faults that are hard to find or pinpoint the impacts of changes. The earlier faults are identified, found and fixed, the lesser the costs and the higher the quality. To assess product quality, software metrics are used. Many OO metrics have been proposed and developed. Furthermore, many empirical studies have validated metrics and class fault proneness (FP) relationship. The challenge is which metrics are related to class FP and what activiti...
Bassey Isong, Obeten O. Ekabua
Added 31 Mar 2016
Updated 31 Mar 2016
Type Journal
Year 2016
Where CORR
Authors Bassey Isong, Obeten O. Ekabua
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