Historically, software production methods and tools have a unique goal: to produce high quality software. Since the goal of Model-Driven Development (MDD) methods is no different, MDD methods have emerged to take advantage of the benefits of using conceptual models to produce high quality software. In such MDD contexts, conceptual models are used as input to automatically generate final applications. Thus, we advocate that there is a relation between the quality of the final software product and the quality of the models used to generate it. The quality of conceptual models can be influenced by many factors. In this thesis, we focus on the accuracy of the techniques used to predict the characteristics of the development process and the generated products. In terms of the prediction techniques for software development processes, it is widely accepted that knowing the functional size of applications in order to successfully apply effort models and budget models is essential. In order to evaluate the quality of generated applications, defect detection is considered to be the most suitable technique. The research goal of this thesis is to provide an accurate measurement procedure based on COSMIC for the automatic sizing of object-oriented OO-Method MDD applications. To achieve this research goal, it is necessary to accurately measure the conceptual models used in the generation of object-oriented applications. It is also very important for these models not to have defects so that the applications to be measured are correctly represented. In this thesis, we present the OOmCFP (OO-Method COSMIC Function Points) measurement procedure. This procedure makes a twofold contribution: the accurate measurement of objectoriented applications generated in MDD environments from the conceptual models involved, and the verification of conceptual models to allow the complete generation of correct final applications from the conceptual models involved. The OOmCFP procedure has been systematically designed, applied, and automated. This measurement procedure has been validated to conform to the ISO 14143 standard, the metrology concepts defined in the ISO VIM, and the accuracy of the measurements obtained according to ISO 5725. This procedure has also been validated by performing empirical studies. The results of the empirical studies demonstrate that OOmCFP can obtain accurate measures of the functional size of applications generated in MDD environments from the corresponding conceptual models. / Marín Campusano, BM. (2011). Functional Size Measurement and Model Verification for Software Model-Driven Developments: A COSMIC-based Approach [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/11237

Hoy en día el tamaño del software es utilizado en la gestión y control de producción como uno de los parámetros esenciales de los modelos de estimación que contribuyen a la calidad de los proyectos de software y productos entregables. Aunque la importancia de la medición temprana del tamaño es evidente, actualmente esta medición es solamente alcanzada en fases tardías del ciclo de vida del software (análisis, diseño e implementación). El tamaño de software puede ser cuantificado usando diferentes técnicas, como las líneas de código y los métodos de medición de tamaño funcional. Un método de medición de tamaño funcional mide el tamaño del software cuantificando los requisitos funcionales. El método Análisis de Puntos de Función (FPA) es el método mayormente utilizado. Este método fue desarrollado para medir Sistemas de Información de Gestión desarrollados con metodos tradicionales. Aunque IFPUG FPA ha ido alcanzado mayor popularidad en la industria, este método carece de aplicabilidad a todo tipo de software y a nuevos paradigmas de desarrollo. Para direccionar estas debilidades, COSMIC-FFP ha surgido como un método de segunda generación y ha sido probado como un estandar internacional (ISO/IEC 19761). Sin embargo, la generalidad de COSMIC-FFP requiere ser instanciado por medio de un procedimiento más específico y sistemático en conjunción con un método de desarrollo de software. / Condori Fernández, ON. (2007). Un procedimiento de medición de tamaño funcional para especificaciones de requisitos [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/1998