Comparing the performance of quantum-inspired evolutionary algorithms for the solution of software requirements selection problem
نویسندگان
چکیده
Context: In requirements engineering phase of the software development life cycle, one of the main concerns of software engineers is to select a set of software requirements for implementation in the next release of the software from many requirements proposed by the customers, while balancing budget and customer satisfaction. Objective: To analyse the efficacy of Quantum-inspired Elitist Multi-objective Evolutionary Algorithm (QEMEA), Quantum-inspired Multi-objective Differential Evolution Algorithm (QMDEA) and Multi-objective Quantum-inspired Hybrid Differential Evolution (MQHDE) in solving the software requirements selection
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عنوان ژورنال:
- Information & Software Technology
دوره 76 شماره
صفحات -
تاریخ انتشار 2016