Multicriteria decision making taxonomy of cloud-based global software development motivators

Muhammad Azeem Akbar*, Hussain Alsalman, Arif Ali Khan, Sajjad Mahmood, Chandrashekhar Meshram, Abdu Gumaei*, Muhammad Tanveer Riaz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

The software organizations widely consider the cloud based global software development (CGSD) as it offer the quality projects with low cast. The adoption of CGSD is challenging due to the geographical distance between practitioners. This study aims to identify and analyses the motivators that could positively impact the implementation of CGSD paradigm. The systematic literature review approach was applied to identify the CGSD motivators reported in the literature, and were further validated with industry experts using questionnaire survey study. Moreover, the fuzzy-AHP approach was applied to prioritize the investigated motivators concerning their significance for the successful adoption of CGSD. The findings of the study provide the prioritization-based taxonomy of the investigated motivators that assists the software organizations to develop and revise their strategies for the successful implementation of CGSD.

Original languageEnglish
Pages (from-to)185290-185310
Number of pages21
JournalIEEE Access
Volume8
DOIs
StatePublished - 2020

Bibliographical note

Publisher Copyright:
© 2020 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

Keywords

  • Cloud-based global software development
  • Fuzzy-AHP
  • Motivators
  • Systematic literature review

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

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