Defects prediction of early phases of Software Development Life Cycle using fuzzy logic

In this paper, a model is proposed to predict the software Defects indicator of early phases of Software Development Life Cycle (SDLC) using the top most reliability relevant metrics at each artifacts. Failure data is not available in the early phases of SDLC. Therefore qualitative values of software metrics are used in this model. Defect indicator predicated in the requirement analysis, Design and Coding phases are very helpful for testing and maintenance of the software. Requirement analysis phase Defect Indicator value is relatively greater than that of the design and coding artifacts. Model is validated with the existing literature. Validation result are satisfactory.