Using Data Mining Techniques for Performance Analysis of Software Quality
Keywords:
data mining, clustering, software quality dataAbstract
The software quality moon-faced a serious problem of software bugs and error estimation. For the estimation of error and bugs used numerous data processing techniques. Within the series of knowledge mining technique used cluster and classification technique. During this paper presents a survey of software quality analysis victimization cluster technique. Software is of top quality and extremely reliable if it's error-free. Software is error-free if there's no bug present in it or it's free from bugs. Bugs are terribly exhausting to search out. Software Engineering tasks are Programming, Testing, Bug Detection, Debugging and Maintenance. Data mining Techniques are applied on software engineering tasks. Data mining techniques are accustomed mine software engineering knowledge and extract the significant and helpful data. Techniques used for mining software engineering knowledge are matching, clustering, classification etc.
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