A Comparative Algorithmic Approach to Predict Probability of Fault in a Module by Indirect Coupling

Any defect in the software module or a project can hamper the quality of software projects that leads to failure of the projects, so prediction of defects is a very important task in the development of software development life cycle (SDLC). In this research paper an algorithmic approach is proposed that will compare the probability of defects due to indirect coupling in the software modules with respect to direct coupled modules. Since the indirect coupling in the software modules can be find out by taking the transitive closure between different modules, but predicting the probability of defects in the software modules via direct coupling is always been a tough task for the programmers, as there may be various hidden dependencies which cannot be exactly detected by direct coupling between software modules. So this paper provides an extension of the previous work done on direct coupled modules, for finding increased probability of defects or faults between dependent modules by indirect coupling approach.