Abstract
In this paper, a multistage model for software defect density indicator is proposed using the top most reliability relevant metrics and Fuzzy Inference System (FIS). Prediction of defect in each phase of software development life cycle (SDLC) is desirable for effective decision-support and trade-off analysis during early development phases. The predictive accuracy of proposed model is validated using nine real software projects data. Validation results are satisfactory.
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