Software Failure Prediction System
Keywords:
Softwear defect prediction, Softwear defect management , Softwear quality , Machine learning.Abstract
Software Defect Prediction [SDP] plays an important role in the active research areas of software engineering. A software defect is an error, bug, flaw, fault, mistake in software that causes it to create wrong or unexpected outcome. The major risk factors related with a software defect which is not detected during the early phase of software development are time, quality, cost, effort and wastage of resources. Defects may occur in any phase of software development. Booming software companies focus concentration on software quality, particularly during the early phase of the software development .Thus the key objective of any organization is to determine and correct the defects in an early phase of Software Development Life Cycle [SDLC]. To improve the quality of software, datamining techniques have been applied to build predictions regarding the failure of software components by exploiting past data of software components and their defects. Finally, in this study we discovered the application of machine learning on software defect management and prediction.
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