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

Kumar, RajeshKumar, Rakesh
International Journal of Electrical and Computer Engineering (IJECE) (Sinta 1)Vol. 0 No. 01 Oktober 2019
DOI10.11591/ijece.v9i5.pp4336-4343

Abstrak

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.

Kata Kunci

Computer and Informaticsgenetic algorithmhuman based computationoptimizationrequirement selectionsearch base software engineering

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Optimizing requirement analysis by the use of meta-heuristic in search based software engineering | International Journal of Electrical and Computer Engineering (IJECE) | Publiora