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Informed decision-making in prioritising product variants.

Diana Borrego1, Ángel Jesús Varela-Vaca1, María Teresa Gómez-López1

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Summary

This study introduces a new framework to prioritize software configurations from feature models using multiple decision-making methods. It resolves conflicting rankings, improving selection for complex software product lines.

Keywords:
Feature modelsInformed decision-making supportPrioritisationSoftware product line

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Area of Science:

  • Software Engineering
  • Decision Support Systems

Background:

  • Feature models (FMs) represent variability in software product lines (SPLs), enabling diverse configurations.
  • Selecting optimal configurations from numerous possibilities is challenging, especially with multiple criteria.

Purpose of the Study:

  • To develop a novel framework for integrating multiple Multi-Criteria Decision-Making (MCDM) methods.
  • To address conflicting rankings from disparate MCDM techniques applied to FMs.
  • To enhance decision support for prioritizing product configurations in SPLs.

Main Methods:

  • Systematic integration of multiple MCDM methods (AHP, TOPSIS, VIKOR).
  • Automated prioritization of product configurations.
  • Development of a structured approach to explain ranking discrepancies.

Main Results:

  • The proposed framework reconciles conflicting rankings from different MCDM methods.
  • It automates configuration prioritization, enhancing transparency.
  • Validated through real-world case studies.

Conclusions:

  • The framework streamlines configuration prioritization in complex SPLs.
  • It supports consistent, preference-driven decision-making.
  • Increases user confidence in selecting the most suitable software variant.