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Analysis of Risk Factors in Global Software Development: A Cross-Continental Study Using Modified Firefly Algorithm
Asim Iftikhar1,2, Syed Mubashir Ali2,3, Muhammad Alam2,4,5
1College of Computer Science & Info. Sys, Institute of Business Management (IoBM), Korangi Creek, Karachi, Pakistan.
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.
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.
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