The overall contribution of this thesis is to propose an integrated approach for modeling and verifying the requirements of Self Adaptive Systems using Model Driven Engineering techniques. Model Driven Engineering is primarily concerned with reducing the gap between problem and software implementation domains through the use of technologies that support systematic transformation of problem level abstractions to software implementations. By using these techniques, we have bridged this gap through the use of models that describe complex systems at multiple levels of abstraction and through automated support for transforming and analyzing these models. We take requirements as input and divide it into Functional and Non Functional Requirements. We then use a process to identify those requirements that are adaptable and those that cannot be changed. We then introduce the concepts of Goal Oriented Requirements Engineering for modeling the requirements of Self Adaptive Systems, where Non Functional Requirements are expressed in the form of goals which is much more rich and complete in defining relations between requirements. We have identified some problems in the conventional methods of requirements modeling and properties verification using existing techniques, which do not take into account the adaptability features associated with Self Adaptive Systems. Our proposed approach takes into account these adaptable requirements and we provide various tools and processes that we developed for the requirements modeling and verification of Self Adaptive Systems. We validate our proposed approach by applying it on two different case studies in the domain of Self Adaptive Systems.
| Identifer | oai:union.ndltd.org:CCSD/oai:tel.archives-ouvertes.fr:tel-00965934 |
| Date | 07 October 2013 |
| Creators | Ahmad, Manzoor |
| Publisher | Université Toulouse le Mirail - Toulouse II |
| Source Sets | CCSD theses-EN-ligne, France |
| Language | English |
| Detected Language | English |
| Type | PhD thesis |
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