Software root cause prediction using clustering techniques: A review

A software bug is an error, flaw, failure or fault in a computer program or system that causes it to produce an incorrect or unexpected result, or to behave in unintended ways. The main risk factors associated with a software defect which is not detected during the early phase of its development are cost and effort. Thus the main intention of any organization is to identify and rectify the defects in an early stage of software development. Root cause analysis (RCA) is a method of problem solving that tries to identify the root causes of faults or problems. The analysis helps to identify the fundamental cause of software defects and use this information to prevent the re-occurrence of the same in future. Software defect prediction methods are majorly used to study the impact of defects on software using different data mining techniques. The aim of this paper is to discuss various clustering methods used for predicting software defects.