Titlebook: Software Fault Prediction; A Road Map Sandeep Kumar,Santosh Singh Rathore Book 2018 The Author(s) 2018 Software Engineering.Software Fault

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Conclusions,rediction and its various components. The matter presented in this book can be beneficial to the new researchers starting the work in the area of the software fault prediction to get the overall depiction of the various topics in this area.

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Software Fault Prediction Process,sult in the improved software quality product. These inherent advantages of software fault prediction have attracted many researchers to focus on the software fault prediction. Thus, it is a key area to study in the field of software engineering and is subject to many previous studies. The primary g

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Software Fault Dataset,re modules. In order to make the predictions, a software fault prediction learns upon the software fault data having the information about the software system (software metrics) augmented with the fault value. An implicit requirement to perform effective software fault prediction is the availability

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Evaluation of Techniques for Binary Class Classification,n be used to predict the number of faults in the given software system. The former approach is known as the binary class classification of software faults. In this type of prediction, if a given software module has one or more faults, then it is classified as faulty; otherwise, it is classified as n