Classifying Software Modeling Languages: The CLUPIR Model Approach

Software Modeling Languages (MLs) are essential tools in the fields of systems analysis and documentation, as well as in facilitating communication among stakeholders involved in software development. However, the sheer variety of available MLs presents a significant challenge for software designers in selecting the most suitable language to model a specific problem or situation. To address this issue, this study introduces CLUPIR, a classification model designed to organize and catalog MLs based on a comprehensive set of aspects. The development of CLUPIR involved conducting a systematic mapping of the existing literature on classification models with a particular focus on the classification aspects used by these models. This thorough analysis informed the selection of the aspects for the CLUPIR model. To demonstrate its practical applications, eight distinct MLs were classified using the CLUPIR framework. Additionally, the model’s effectiveness and relevance were validated through a study involving 30 software industry professionals. These participants provided insight into the utility and applicability of CLUPIR in real-world scenarios. Ultimately, this research contributes to streamlining the process of selecting appropriate MLs for software design by offering a structured aspect-driven classification approach tailored to industry needs.