Solutions Framework Software Evaluations using Neutrosophic Figures

Abstract

This article addresses a key challenge in software development: how to identify opportunities to optimize testing within the Microsoft Solutions Framework (MSF), a widely used framework for managing technology projects. The central question guiding this research is how to detect and prioritize these opportunities in an environment characterized by uncertainty and the subjectivity of human decision-making. To this end, the study introduces the use of neutrosophic numbers, a mathematical tool designed to manage ambiguity and the diverse opinions of experts. This approach seeks to overcome the limitations of conventional methods, which often ignore the uncertainty present in the evaluation of complex processes such as software testing. The relevance of this topic lies in the growing dependence of companies and organizations on robust technological solutions, where software testing plays a crucial role in ensuring quality and functionality. However, previous approaches have lacked adequate tools to integrate uncertainty into their analyses, leaving a gap that this work aims to fill. Applying a methodology based on neutrosophic numbers, the study collects and processes expert judgments, revealing findings that highlight critical areas for improvement in MSF, such as test planning and execution. These results not only enrich the theory by offering an innovative model for decision-making, but also provide practical guidelines that can be directly implemented in real-world projects, thus strengthening the effectiveness and adaptability of software development processes in dynamic contexts.