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Developing industrial real-time software systems is challenging due to de- mands on system safety and reliability, through stringent system requirements in terms of functionality, timing, resource consumption etc. Due to this, the system development needs to ensure predictability before the actual imple- mentation, through reliable engineering methods. To address these challenges, model-based engineering (MBE) combined with Component-based develop- ment (CBD) has emerged as a feasible solution. MBE supports system model- ing and formal analysis through the development phases such as requirements, specification, and design. CBD supports reusability of software parts leading to faster development time, and reduced costs. However, an integrated approach needs to deal with various abstractions of the system during different phases of the development.

In this thesis, we present model-based techniques, for the development of predictable, component-based designs of embedded systems. We consider Pro- Com as the underlying component model and, as a first step, we define a for- mal semantics for its architectural elements. The given semantics provides a basis for developing analyzable embedded systems designs, associated analy- sis techniques, model transformations etc. Next, we describe some commonly- found behavioral patterns, in component-based designs. These patterns provide an abstract, and reusable specification of a real-time components functional- ity. Also, we define component-based design templates, intended to support the systematic development of component-based designs from abstract system models. Finally, we propose a formal framework to correlate statemachine- based system behavior with corresponding ProCom-based system designs. We validate our research contributions using case-studies and examples, and also by applying verification techniques, such as, model-checking.

In modern times, human life is intrinsically depending on real-time embedded systems (RTES) with increasingly safety-critical and mission-critical features, for instance, in domains such as automotive and avionics. These systems are characterized by stringent functional requirements and require predictable timing behavior. However, the complexity of RTES has been ever increasing requiring systematic development methods. To address these concerns, model-based frameworks and component-based design methodologies have emerged as a feasible solution. Further, system artifacts such as requirements/specifications, architectural designs as well as behavioral models like statemachine views are integrated within the development process. However, several challenges remain to be addressed, out of which two are especially important: expressiveness, to represent the real-time and causality behavior, and analyzability, to support verification of functional and timing behavior.

As the main research contribution, this thesis presents design and verification techniques for model-based development of RTES, addressing expressiveness and analyzability for architectural and behavioral models. To begin with, we have proposed a systematic design process to support component-based development. Next, we have provided a real-time semantic basis, in order to support expressiveness and verification for structural and behavioral models. This is achieved by defining an intuitive formal semantics for real-time component models, using ProCom, a component model developed at our research centre, and also using the CCSL (Clock Constraint Specification Language), an expressive language for specification of timed causality behavior. This paves the way for formal verification of both architectural and behavioral models, using model checking, as we show in this work, by transforming the models into timed automata and performing verification using UPPAAL, a model checking tool based on timed automata. Finally, the research contributions are validated using representative examples of RTES as well as an industrial case-study.