NDLI: Search-based Software Requirements Selection : A Case Study

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Search-based Software Requirements Selection : A Case Study

Content Provider	Semantic Scholar
Author	Kumari, A. Charan
Copyright Year	2013
Abstract	This paper presents a Multi-objective Quantum-inspired Hybrid Differential Evolution (MQHDE) for the solution of software requirements selection problem and its application on a real-world project. As the customer requirements change from time to time, often software products are developed in an iterative or incremental manner so as to deal with these changing requirements. The problem is to identify a set of requirements to be included in the next release of the software product, by minimizing the cost and maximizing the customer satisfaction. This problem is referred to as Multi-objective Next Release Problem (MONRP) in the jargon of Searchbased Software Engineering (SBSE). The solution to the problem of MONRP has been studied by researchers using different metaheuristic search techniques. The efficiency of the proposed MQHDE is tested on a real-world application and the results are compared against the state-of-the-art multiobjective evolutionary algorithm NSGA-II, and found that the performance of MQHDE is promising and therefore can be used with confidence for the solution of real-world instances of MONRP.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.ijcaonline.org/archives/volume64/number21/10760-5715?format=pdf
Alternate Webpage(s)	http://research.ijcaonline.org/volume64/number21/pxc3885715.pdf
Language	English
Access Restriction	Open
Subject Keyword	Biological Evolution Differential evolution Evolutionary algorithm Genetic Selection Increment Inspiration function Iteration Jargon Metaheuristic Multi-objective optimization Quantum Requirement Search-based software engineering Selection algorithm Software requirements
Content Type	Text
Resource Type	Article

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