Risk Prioritization for Software Development using Grey Wolf Optimization
1B. Prakash, Assistant Professor, Department of Computing Science and Engineering, Vellore Institute of Technology, Chennai, (Tamil Nadu), India.
2V. Viswanathan, Associate Professor, Department of Computing Science and Engineering, Vellore Institute of Technology, Chennai, (Tamil Nadu), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1457-1463 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2694037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Risks are uncertainties that influence the project performance to greater extent. To ensure software quality and project success every organizations should enforce a proper mechanism to efficiently manage the risks irrespective of the process model they follow. Risk prioritization is a most critical step in risk management process that helps the organization to resolve the risks in shorter duration of time. This study focuses on prioritizing the risks involved in software development using Grey Wolf Optimization (GWO) algorithm. Further, the proposed Software Risk Prioritization (SRP-GWO) approach is compared with other prioritization techniques such as Analytical Hierarchy Process (AHP), Particle Swarm Optimization (PSO), Delphi, Average Ranking and Categorizing scale and the results are evaluated based on five criterion attributes such as Simplicity, Adaptability, Running time, Accuracy and Consistency. The findings show that the proposed approach outperforms other existing techniques.
Keywords: Risk Management, Software Development, Grey Wolf Optimization, Project Management
Scope of the Article: Digital Rights Management