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Selection of software agile practices using Analytic hierarchy process
Royer David Estrada-Esponda1, Mauricio López-Benítez1, Gerardo Matturro2
1Universidad del Valle, Colombia.
Heliyon
|January 1, 2024
Summary
This study used the Analytic Hierarchy Process (AHP) to prioritize agile practices and improvement objectives in software development. The research identified key elements for efficient IT solution deployment, guiding agile methodology selection.
Area of Science:
- Software Engineering
- Information Technology Management
- Operations Research
Background:
- Modern society's reliance on software necessitates efficient and controlled IT solution deployment.
- Agile methodologies are crucial for achieving efficiency and control in IT projects.
- Determining the optimal agile methodology for specific goals remains a challenge.
Purpose of the Study:
- To prioritize agile practices and improvement objectives within software development.
- To apply the Analytic Hierarchy Process (AHP) for objective and practice prioritization.
- To identify the most effective agile strategies for Colombian software development organizations.
Main Methods:
- A mixed-methods approach combining quantitative and qualitative analysis.
- Utilized the Analytic Hierarchy Process (AHP) for quantitative data treatment.
- Employed expert consultations via digital surveys and Questionpro for qualitative validation.
Main Results:
- Prioritized 6 key improvement objectives and 5 essential agile practices using AHP.
- Demonstrated that prioritization facilitates progressive implementation without discarding other elements.
- Highlighted the potential for non-prioritized elements in future iterations and maturity models.
Conclusions:
- The study provides a precedent for applying multi-criteria decision-making methods to agile methodologies.
- Findings support the development of hybrid methodological approaches in global software development.
- The research offers a structured framework for selecting and implementing agile practices effectively.
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