A New Approach to Find Predictor of Software Fault Using Association Rule Mining

Provided by: Engg Journals Publications
Topic: Software
Format: PDF
In this paper, the authors use a new method to find the best predictor of software fault using association rule mining. The method, first of all select all the association rules having confidence greater than 40% and support greater than 30% using Apriori algorithm. After that their aim is to select top 'n' association rules out of a pool of 'k' association rules based on heuristic analysis. The method ranks association rules giving weight to a larger set of parameters than used by standard methods. The role of correlation has been emphasized in this method which also tries to eliminate issues faced in incorporating correlation, support and confidence expressively into a single fitness function.

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