Analysis of Data mining based Software Defect Prediction Techniques

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69MHO

Analysis of Data mining based Software Defect Prediction Techniques

Naheed Azeem
Naheed Azeem Federal Urdu University of Arts, Science and Technology
Shazia Usmani
Shazia Usmani
DOI

Abstract

Software bug repository is the main resource for fault prone modules. Different data mining algorithms are used to extract fault prone modules from these repositories. Software development team tries to increase the software quality by decreasing the number of defects as much as possible. In this paper different data mining techniques are discussed for identifying fault prone modules as well as compare the data mining algorithms to find out the best algorithm for defect prediction.

Analysis of Data mining based Software Defect Prediction Techniques

Software bug repository is the main resource for fault prone modules. Different data mining algorithms are used to extract fault prone modules from these repositories. Software development team tries to increase the software quality by decreasing the number of defects as much as possible. In this paper different data mining techniques are discussed for identifying fault prone modules as well as compare the data mining algorithms to find out the best algorithm for defect prediction.

Naheed Azeem
Naheed Azeem Federal Urdu University of Arts, Science and Technology
Shazia Usmani
Shazia Usmani

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Naheed Azeem. 1970. “. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 16): .

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Analysis of Data mining based Software Defect Prediction Techniques

Naheed Azeem
Naheed Azeem Federal Urdu University of Arts, Science and Technology
Shazia Usmani
Shazia Usmani

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