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Predicting Quality Using Fuzzy Model on Object-Oriented Software Design

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  • Garima Verma
  • Pradeep Tomar

Abstract

Software quality is one of the most important aspects of software development. Over the period of time, software quality has been predicted using object-oriented system such as MOOD metrics, CK metrics and LK metrics. Using software metrics to predict quality has been a popular choice among researchers, as it has resulted in a fair bit of success in prediction. In this paper, we have proposed a software quality prediction model by applying fuzzy logic to predict the quality of object-oriented system by using five metrics—DIT, CBO, LCOM, LOC and CC. We have tested the model with the dataset of open source software ‘Mywebbrowser’.

Suggested Citation

  • Garima Verma & Pradeep Tomar, 2013. "Predicting Quality Using Fuzzy Model on Object-Oriented Software Design," The IUP Journal of Computer Sciences, IUP Publications, vol. 0(4), pages 18-29, October.
    • Handle: RePEc:icf:icfjcs:v:7:y:2013:i:4:p:18-29
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