Identification and Prioritization of Cloud Based Global Software Development Best Practices

• Main Authors: Muhammad Azeem Akbar, Sajjad Mahmood, Hussain Alsalman, Abdul Razzaq, Abdu Gumaei, Muhammad Tanveer Riaz
• Format: Article
• Language: English
• Published: IEEE 2020-01-01
• Series: IEEE Access
• Subjects: Cloud based global software development (CGSD); best practices; fuzzy-AHP
• Online Access: https://ieeexplore.ieee.org/document/9224618/

The cloud based global software development (CGSD) is the most widely adopted development paradigm in software industry. The CGSD offers significant economic and strategic benefits; besides, various complexities are faced by the practitioners while deploying CGSD. Hence, this study aims to identify and prioritize the best practices that are important for the success and progression of CGSD paradigm. Using the systematic literature review a total of 30 best practices were identified and were further verified with industry experts using questionnaire survey study. The identified best practices were further prioritize using fuzzy-AHP approach. The fuzzy-AHP is novel in this domain as it successfully applied in other engineering domain to address the multicriteria decision making problems. The findings of this study will provide a prioritization-based taxonomy of the investigated best practices which assists the academic researchers and industry experts to develop and revise the strategies of CGSD.