Optimizing requirement analysis by the use of meta-heuristic in search based software engineering

Rajesh Kumar, Rakesh Kumar

Abstract


Requirements analysis is the first phase of software development process and it is one of the main concerns of software engineers. The selection of requirements is a complex problem caused by the heterogeneity of the users and their varied interests and demands. In this paper, it is justified that their is a strong need of optimization in requirement analysis. The paper argues that requirement selection can be viewed as an application area of Search-Based Software Engineering(SBSE). The aim is to justify the claim that requirement engineering can be re-formulated as search problem to which meta-heuristic technique can be applied.


Keywords


genetic algorithm; human based computation; optimization; requirement selection; search base software engineering;

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DOI: http://doi.org/10.11591/ijece.v9i5.pp4336-4343

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International Journal of Electrical and Computer Engineering (IJECE)
p-ISSN 2088-8708, e-ISSN 2722-2578

This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).