The crucial part in software development lifecycle is finding the software faults. Detecting the
faults in an early stage of software lifecycle can prevent the susceptibility and cost overruns …

Faults are the leading cause of time consuming and cost wasting during software life cycle.
Predicting faults in early stage improves the quality and reliability of the system and also …

The main aim of Software Defect Prediction (SDP) is to identify the defect prone in source
code, therefore to reduce the effort and time taken as well the cost incurred by it with …

Software defect prediction (SDP) is the process of predicting defects in software modules, it
identifies the modules that are defective and require extensive testing. Classification …

The software industry's growth and increasing complexity have made software maintenance
more challenging, with Software Defects (SD) being a significant contributor to quality …

Software development life cycle comprises of planning, design, implementation, testing and
eventually, deployment. Software defect prediction can be used in the initial stages of the …

Software systems have become larger and more complex than ever. Such characteristics
make it very challengeable to prevent software defects. Therefore, automatically predicting …

In the field of early prediction of software defects, various techniques have been developed
such as data mining techniques, machine learning techniques. Still early prediction of …

Software defect prediction is one of the important ways to guarantee the quality of software
systems. Combining various algorithms in machine learning to predict software defects has …

defect prediction (SDP) is process of identifying software defect on the early testing stage of
SDLC. SDP can saving time software tester on the development process. There are some …