Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-08-23T13:23:08Z No. of bitstreams: 1 DANIEL AGUIAR DA SILVA - DISS PPGCC 2006..pdf: 730843 bytes, checksum: e5d7ebe87ab82d200f68fb0b5b0df784 (MD5) / Made available in DSpace on 2018-08-23T13:23:08Z (GMT). No. of bitstreams: 1 DANIEL AGUIAR DA SILVA - DISS PPGCC 2006..pdf: 730843 bytes, checksum: e5d7ebe87ab82d200f68fb0b5b0df784 (MD5) Previous issue date: 2006-05-26 / Técnicas e ferramentas de testes formais baseados em modelos têm sido desenvolvidas para tornar mais rigoroso e eficiente o processo de teste de sistemas reativos com características de distribuição e concorrência. O não-determinismo inerente a estes sistemas torna os difíceis de serem testados, devido à alta complexidade de obtenção das configurações necessárias para execução dos casos de teste. As propriedades especificadas para estes sistemas são a base para a geração dos casos de teste de conformidade, que devem avaliar a correspondência entre modelo e código. Estas propriedades, denominadas objetivos de teste, devem ser especificadas de maneira a guiar a geração dos casos de teste. Entretanto, a especificação dos objetivos de teste a partir de modelos complexos como os destes sistemas ainda carece de técnicas e ferramentas apropriadas, tornando esta atividade propensa a erros. Os casos de teste podem assim, ter efetividade afetada em caso de erros na especificação dos objetivosdeteste. Comoobjetivodecontribuirparaasoluçãodesteproblema,estetrabalho apresenta técnica de geração de objetivos de teste para sistemas reativos, baseando-se na técnica de verificação de modelos CTL. A técnica proposta visa usufruir da eficiência dos algoritmos da verificação de modelos, por meio de sua adaptação para a análise destes, para a geração dos objetivos de teste. / Techniques and tools for model based testing have been developed to make the process of testing distributed concurrent reactive systems more efficient and rigorous. The inherent nondeterminism of these systems can make it difficult to test them due to the complex process of obtaining test cases configurations from models. To better guide the testing process, properties specified to these systems are used as basis for the test case generation. Such properties, called test purposes, shall be exhibitedby the implementation under test through test case execution. However, specifying test purposes from the common complex and large models of these systems suffers from the lack of appropriated tools and techniques, making it error-prone and inadequate. Thus, test cases based on such test purposes may be affected, getting no desirable soundness. Aiming at solving this problem, we present a technique for test purpose generation for reactive systems based on the CTL model checking technique. We aim at taking benefit from the efficiency of model checking algorithms to better analyze the models to generate the test purposes.

Privacy regulations impose on companies limitations about the collection, use, and disclosure of user data. One of the actions most companies undertake for this, consists in modifying their systems with processes for consent acquisition and management. Unfortunately, where systems are large and with many dependencies, they often also have little documentation, and knowledge on the system is distributed among different domain experts. These circumstances make the re-engineering of systems a tedious and complex, if not impossible, activity. This PhD Thesis proposes a model-based method with a top-down approach, for modeling consent requirements and analyzing compliance with regulations, by refinement of models from organizational structure down to business processes. The method is provided with guidelines in the form of a process and includes modeling languages and reasoning frameworks for the analysis of requirements with respect to a preset of privacy principles on consent. The Thesis includes validations with realistic scenarios and with domain practitioners from the healthcare domain.