A Heuristic computation using hybrid PMP-Greedy and AHP model for categorization and measurement of a framework aligned to ISO/IEC 90003:2014

Authors

DOI:

https://doi.org/10.61467/2007.1558.2026.v17i2.1155

Keywords:

Positional Major Mean Weight (PMP), hierarchical analysis process (AHP), ISO/IEC 90003:2014 standard

Abstract

The ISO/IEC 90003:2014 standard oriented to the application of quality management in software development processes, requires a structured evaluation that considers technical and organizational criteria.  Its purpose is to support organizations that develop or maintain software to implement an effective quality management system using the structure and requirements of ISO 9001:2008, specifically adapted to software-related activities. This article proposes a hybrid heuristic computational model based on the PMP-Greedy (Positional Major Mean Weight) and AHP (Analytic Hierarchy Process) methods to assign weights to the categories that make up a framework aligned to ISO/IEC 90003:2014 that allows companies engaged in software development to measure the degree of compliance with the standard, as well as, to assess conformance and non-conformance to achieve certification to the standard.

 

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Published

2026-02-16

How to Cite

Jiménez Alfaro, A. J., Valencia Vázquez , N. K., Cortés Barrera, G., & Corona Organiche , E. (2026). A Heuristic computation using hybrid PMP-Greedy and AHP model for categorization and measurement of a framework aligned to ISO/IEC 90003:2014. International Journal of Combinatorial Optimization Problems and Informatics, 17(2), 471–480. https://doi.org/10.61467/2007.1558.2026.v17i2.1155

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