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Analysis of Risk Factors in Global Software Development: A Cross-Continental Study Using Modified Firefly Algorithm.

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Global software development (GSD) faces risks like resource failure and cultural differences. This study identifies and prioritizes these risks using Pareto analysis and a modified firefly algorithm for better project outcomes.

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Area of Science:

  • Software Engineering
  • Project Management
  • Information Systems

Background:

  • Global Software Development (GSD) is increasingly adopted by organizations worldwide.
  • The COVID-19 pandemic highlighted the challenges of distributed teams, emphasizing the need to manage GSD risks.
  • Existing research has not sufficiently addressed time, cost, and resource-related risks in GSD.

Purpose of the Study:

  • To comprehensively analyze software project risk factors in a GSD environment.
  • To identify and classify key risks impacting GSD projects.
  • To prioritize identified risks for effective project management.

Main Methods:

  • Literature review to identify 54 risk factors in software development.
  • Classification of risk factors into time, cost, and resource dimensions.
  • Pareto analysis to determine significant risk factors.
  • Implementation of a modified firefly algorithm for risk evaluation and prioritization.

Main Results:

  • 54 risk factors were identified and classified.
  • Pareto analysis highlighted critical risk factors.
  • The modified firefly algorithm prioritized risks based on their potential impact.
  • Top risks include failure to provide resources, cultural differences, and inadequately trained team members.

Conclusions:

  • Effective management of identified risks is crucial for GSD success.
  • Prioritizing risks related to resources, culture, and team training is essential.
  • The study provides a framework for assessing and mitigating risks in global software projects.