Identifying contemporary challenges pertaining to Distributed Software Development using Fuzzy Delphi Method

Author:

Gul Maimoona1,Alam Khubaib Amjad1

Affiliation:

1. National University of Computer and Emerging Sciences

Abstract

Abstract Distributed Software Development (DSD) is a process in which team members are located in different geographical locations and collaborate using communication and collaboration tools. DSD has gained prominence in recent years, driven by the surge in globalization, the rapid expansion of the IT outsourcing market, and the widespread accessibility of high-speed internet. However, DSD also presents numerous challenges, including team dynamics, employee well-being, HR management, communication & collaboration, requirements management, tooling & infrastructure, and development process & risk management issues. This paper aims at identifying critical challenges related to DSD. Initially, a systematic literature review was conducted to construct an initial list of 77 challenges; subsequently, a Fuzzy Delphi Method (FDM) survey was adopted to identify the critical challenges in this context. Results of the FDM indicate that, out of the 41 screened-out challenges, differences in work ethics & practices, language barriers, meeting scheduling difficulties, different time zones, burnout, physical fatigue/mental stress, and lack of opportunities for personal development are the most critical challenges of DSD. The findings of this study have implications for both practitioners and researchers related to DSD.

Publisher

Research Square Platform LLC

Reference76 articles.

1. M. Jiménez, M. Piattini, and A. Vizcaíno, “Challenges and improvements in distributed software development: A systematic review,” in Data Structure and Software Engineering: Challenges and Improvements, Apple Academic Press, 2016, pp. 225–255. doi: 10.1155/2009/710971.

2. J. A. Espinosa, S. A. Slaughter, R. E. Kraut, and J. D. Herbsleb, “Team knowledge and coordination in geographically distributed software development,” Journal of Management Information Systems, vol. 24, no. 1, pp. 135–169, Jun. 2007, doi: 10.2753/MIS0742-1222240104.

3. Association for Computing Machinery. and Institute of Electrical and Electronics Engineers., Does Distributed Development Affect Software Quality An Empirical Case Study of Windows Vista. IEEE, 2009.

4. J. (Jean) Bézivin, J.-Marie. Favre, Bernhard. Rumpe, Association for Computing Machinery., and ACM Sigsoft., A Research Agenda For Distributed Software Development. Association for Computing Machinery, 2006.

5. A. B. Marques, R. Rodrigues, and T. Conte, “Systematic literature reviews in distributed software development: A tertiary study,” in Proceedings – 2012 IEEE 7th International Conference on Global Software Engineering, ICGSE 2012, 2012, pp. 134–143. doi: 10.1109/ICGSE.2012.29.

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