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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. To analyse the efficacy of Quantum-inspired Elitist Multi-objective Evolutionary...
This paper presents a Quantum-inspired Multi-objective Differential Evolution Algorithm (QMDEA) for the selection of software requirements, an issue in Requirements engineering phase of software development life cycle. Generally the software development process is iterative or incremental in nature, as request for new requirements keep coming from the customers from time to time for inclusion in the...
This paper proposes a Quantum-inspired Elitist Multi-objective Evolutionary algorithm (QEMEA) for software requirements selection, a problem in search based software engineering. Most often software product developments are iterative and incremental in their nature, due to the changes in the customer requirements from time to time. It is a challenging task to select the requirements from a large number...
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