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Replication of Quantitative Analysis of Fault Distributions on Open Source Software System

An analysis of fault distribution in software systems was conducted in the classical work by Fenton and Ohlsson. Their study was replicated twice in order to support the findings. They investigated the Pareto principle, fault persistence, relation between code metrics and fault number, as well as fault density and fault density similarities across project releases. In this study, we aim to replicate the study on the data set from completely different environment in order to see if the evidence obtained from the previous studies can be obtained for software systems that were developed in the open source environment. Our study is conducted on two Eclipse projects in evolution involving 12 releases each. The results are in agreement with the previous studies, except that there is a difference in the behavior of fault densities between pre and post release faults.

Software Reliability, Fault Distribution, Replication

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