Software defect prediction aims to reduce software testing efforts by guiding testers through
the defect-prone sections of software systems. Defect predictors are widely used in …

Many organizations want to predict the number of defects (faults) in software systems, before
they are deployed, to gauge the likely delivered quality and maintenance effort. To help in …

In the testing phase of Software Development Life Cycle (SDLC), Software Defect Prediction
(SDP) is one of the pivotal task which finds the modules that are more vulnerable to defects …

In software project management, there are five basic factors to predict and control, those are
size, process, effort, environment and quality. Most of the software engineers focus on these …

Many statistical techniques have been proposed to predict fault-proneness of program
modules in software engineering. Choosing the “best” candidate among many available …

The demand for distributed and complex business applications in the enterprise requires
error-free and highquality application systems. Unfortunately, most of the developed …

As a common software engineering practice, software dynamic defect models are used to
estimate and predict the software testing process progress, effectiveness, and the number of …

Software defect prediction has been one of the key areas of exploration in the domain of
software quality. In this paper, we perform a systematic mapping to analyze all the software …

Defects in software modules are a source of significant concern. Software reliability and
software quality assurance ensure the high quality of applications. A software defect triggers …

Prior identification of defects in software modules can help testers to allocate limited
resources efficiently. Defect prediction techniques are helpful for this situation because they …