A comparative study of bayesian and fuzzy approach to assess and predict maintainability of the software using activity-based quality model

Quality is considered as one of the most important aspects responsible for the success of the software. The developers as well as the end users of the software have accepted maintainability as a significant characteristic due to its economic implications. Several subjective techniques have been developed in research to assess and predict maintainability but all have been unsuccessful to do it practically and most of them even fail to define it appropriately. The activity-based quality model is one of the techniques that have been found to be successful in defining maintainability. This model assesses maintainability in terms of average efforts required to maintain software but lacks quantitative aspect that has been further added by using Bayesian Network. In this paper, a comparison of the Bayesian approach and Fuzzy approach to deal with this model quantitatively has been done wherein; Fuzzy approach has been found to be better than Bayesian