Searching for authors named "Janos Sztipanovits" – sorted by Relevance.
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Generative Programming for Embedded Systems
- Abstract. Embedded systems represent fundamentally new challenges for software design, which render conventional approaches to software composition ineffective. Starting with the unique challenges of building embedded systems, this paper discusses key issues of model-based technology for embedded sy
- Cited by 6 (0 self) – Add To MetaCart
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Self-adaptive software for signal processing
- Digital signal processing (DSP) systems are widely used in communication, medical, sonar, radar, equipment health monitoring and many other applications. Frequently, the signal processing system has to meet real-time requirements and provide very large throughput. For example, modern automatic targe
- Cited by 12 (2 self) – Add To MetaCart
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Formalizing the Structural Semantics of Domain-Specific Modeling Languages
- Model-based approaches to system design are now widespread and successful. These approaches make extensive use of model structure to describe systems using domain-specific abstractions, to specify and implement model transformations, and to analyze structural properties of models. In spite of its ge
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Techniques for metamodel composition
- The process of specifying an embedded system involves capturing complex interrelationships between the hardware domain, the software domain, and the engineering domain used to describe the environment in which the system will be embedded. Developers increasingly turn to domain-specific modeling tech
- Cited by 7 (0 self) – Add To MetaCart
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Saturn Site Production Flow (SSPF): Accomplishments and Challenges
- The Saturn Site Production Flow (SSPF) system is a client-server application that has been developed using Model-Integrated Computing (MIC) approach. It is designed to provide an integrated problem-solving environment. It presents consistent and pertinent information, provides analysis and decision
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Semantic anchoring with model transformations
- Abstract. Model-Integrated Computing (MIC) is an approach to Model-Driven Architecture (MDA), which has been developed primarily for embedded systems. MIC places strong emphasis on the use of domain-specific modeling languages (DSML-s) and model transformations. A metamodeling process facilitated by
- Cited by 13 (3 self) – Add To MetaCart
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Metalevel Extension of the MultiGraph Architecture
- Domain-specific model integrated program synthesis (MIPS) environments are created according to a modeling paradigm – a description of the class of models that can be created using the system. Just as model integrated computing applications are executable instances of domain models, domain models ca
- Cited by 4 (3 self) – Add To MetaCart
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Specifying Graphical Modeling Systems Using Constraint-based Metamodels
- Embedded computer-based systems are becoming highly complex and difficult to implement due to the large number of concerns designers must address. These systems are tightly coupled to their environments, requiring an integrated view that encompasses both the information system and its physical surro
- Cited by 11 (6 self) – Add To MetaCart
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M.: "An Integrated MultiDomain Analysis Environment For High Consequence Systems
- Modeling and analysis of high consequence, high assurance systems requires special modeling considerations. System safety and reliability information must be captured in the models. Previously, high consequence systems were modeled using separate, disjoint models for safety, reliability, and securit
- Cited by 2 (2 self) – Add To MetaCart
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A Semantic Unit for Timed Automata Based Modeling Languages
- Model-Integrated Computing (MIC) is an infrastructure for model-based design of real-time and embedded software and systems. MIC places strong emphasis on the use of domain-specific modeling languages (DSMLs) and model transformations in design flows. Building on our earlier work on transformational
- Cited by 2 (2 self) – Add To MetaCart

