Software Defect Prediction from Historical Data

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
Software testing consumes major percentage of project cost, so researchers focuses of the \"How to minimizes cost of testing in order to minimize the cost of the project\". The software defect prediction is a method which predicts defects from historical database. Data mining Techniques are used to predict Software defects from historical databases. This paper describes frame work to produce software defect from the historical database and also present one pass data mining algorithm used find rules to predict software defects. The experimental results shows that, one pass algorithm generate rules for software defect prediction with consider amount of time and with better performance.

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