A decision tree approach to identify the factors affecting reliability for component-based system

Abstract

Component-based systems are frequently used in software development. Software reliability is the need of the hour as the lack of it could result in significant costs to the supplier regarding dis-satisfied customers, loss of market share, rework caused by rejected and returned systems, and the costs to customers of faulty systems that fail to meet their mission goals. There are a number of metrics available in the literature. The metrics considered in this study are traditional metrics like Chidamber and Kemerer (CK) metrics as well as metrics used for component-based software (CBS). Dimension reduction approach is used for finding the factors that will affect the system most. The proposed decision tree has been developed through empirical evaluation. In this paper, Rapid Miner is used to segregate important metrics from a bunch of metrics.