Prediction of Software Requirements Stability Based on Complexity Point Measurement Using Multi-Criteria Fuzzy Approach

Abstract

Many software projects fail due to instable requirements and lack of managing the requirements changes efficiently. Software Requirements Stability Index Metric (RSI) helps to evaluate the overall stability of requirements and also keep track of the project status. Higher the stability, less changes tends to propagate. The existing system use Function Point modeling for measuring the Requirements Stability. However, the main drawback of the existing modeling is that the complexity of non-functional requirements has not been measured for Requirements Stability. The Non-Functional Factors plays a vital role in assessing the Requirements Stability. Numerous Measurement methods have been proposed for measuring the software complexity. This paper proposes Multi-criteria Fuzzy Based approach for finding out the complexity weight based on Requirement Complexity Attributes such as Functional Requirement Complexity, Non-Functional Requirement Complexity, Input Output Complexity, Interface and File Complexity. Based on the complexity weight, this paper computes the software complexity point. And then predict the Software Requirements Stability based on Software Complexity Point changes. The advantage of this model is that it is able to estimate the software complexity early which in turn predicts the Software Requirement Stability during the software development life cycle.