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In iterative and incremental development approaches, there is great interest in delivering system releases onbudget, but raising stakeholders’ satisfaction as much as possible. In the field of Search Based Software Engineering (SBSE), such a problem is known as the Next Release Problem (NRP), which is handled in existing proposals by reformulating the requirements selection process as an optimization problem solved by metaheuristics, providing a set of recommendations with the highest customers’ satisfactions as well as the lowest development costs. Despite their contributions, most of current proposals do not address software risks, which represent a key aspect that can deeply impact on project cost and stakeholders’ satisfaction. In such a direction, this paper proposes a multi-objective, risk-based approach for the NRP problem, in which a risk analysis is incorporated to estimate the impact of software risks in development cost and stakeholders’ satisfaction. Experimental results reveal the efficiency and practical applicability of the proposed approach.

A Multi-Objective, Risk-based Approach for Selecting Software Requirements