Development Risk Assessment in Software Projects Using Dependability Models

Risk management is a prominent activity, which aims the mitigation of undesirable issues during a project lifetime. In this context, techniques have been proposed to evaluate the impact of risks, but probability estimates are usually neglected, affecting a proper evaluation of such issues. This work presents an approach based on dependability models (e.g., stochastic Petri nets) for probabilistic evaluation of risks regarding the turnover of team members and requirement implementation in software development projects. Two case studies are adopted to demonstrate the feasibility of the proposed technique.

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