Abstract
Requirement prioritization is one of the most important approach in the process of requirement engineering due to use it in order to prioritize the execution sort of requirements with taking into account the viewpoints of stakeholders. Thus, in this study, grey wolf optimization (GWO) algorithm is applied in order to prioritize the requirements of a software project. GWO imitates the hunting behavior of grey wolves in nature. Which distinct from others that it has dominant leadership hierarchy which contains four main types; alpha, beta delta and omega wolves. In this paper, a proposed algorithm is presented to prioritize the requirements into ordered list. Furthermore, it is compared and evaluated with analytical hierarchy process (AHP) technique in terms of average running time and dataset size. The findings display that the RP-GWO performs better than AHP mechanism by approximately (30%).
Highlights
Software Engineering (SE) includes one of the most significant fields that is Requirement Engineering (RE)
In the large software projects, many stakeholders participate in order to make decisions of what should be developed firstly which makes a difficulty in decision making
Grey Wolf Optimization (GWO) algorithm is one of the recently meta-heuristic mechanisms that is suggested by Mirjalili and Lewis in 2014 (Mirjalili et al, 2014)
Summary
Software Engineering (SE) includes one of the most significant fields that is Requirement Engineering (RE). In the large software projects, many stakeholders participate in order to make decisions of what should be developed firstly which makes a difficulty in decision making. The project has rigid execution plan, inadequate resources and customer’s expectations in a high level, the most significant characteristics should be published in early enough time. This reason leads us to comprehend the significance of priority ordering of the requirements (Sommerville& Sawyer, 1997). Which simulate the hunting behavior of grey wolves in nature These wolves live in pack within cluster size between 5 and 12. VI the last section draws the conclusion of this study
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