A comparative study of models for predicting fault proneness in object-oriented systems
by Yogesh Singh; Arvinder Kaur; Ruchika Malhotra
International Journal of Computer Applications in Technology (IJCAT), Vol. 49, No. 1, 2014

Abstract: Demand for quality software has undergone rapid growth during the last few years. This is leading to an increase in development of metrics for measuring the properties of software such as coupling, cohesion or inheritance that can be used in early quality assessments. Quality models that explore the relationship between these properties and quality attributes such as fault proneness, maintainability, effort or productivity are needed to use these metrics effectively. This study reflects the relevance of quality models to industrial practices and the maturity of research in developing these models. In this paper we summarise the results of empirical studies done so far to assess the applicability of fault proneness models across object-oriented software. We perform a systematic study of these to identify general conclusions drawn from them. This work recommends the research methodology that should be followed to predict fault proneness models.

Online publication date: Fri, 11-Jul-2014

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