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 no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/11237 / Palancia
| Identifer | oai:union.ndltd.org:upv.es/oai:riunet.upv.es:10251/11237 |
| Date | 20 July 2011 |
| Creators | Marín Campusano, Beatriz Mariela |
| Contributors | Pastor López, Oscar, Abran, Alain, Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació |
| Publisher | Universitat Politècnica de València |
| Source Sets | Universitat Politècnica de València |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis, info:eu-repo/semantics/publishedVersion |
| Source | Riunet |
| Rights | http://rightsstatements.org/vocab/InC/1.0/, info:eu-repo/semantics/openAccess |
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