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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nadjim-Tehrani, S. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Comput. & Inf. Sci., Linkoping Univ., Sweden (Nadjim-Tehrani, S.) |
| Abstract | Technological developments in micro-electronics have made digital control an indispensable component in all engineering systems. The rapid pace of development and the demands on modern systems in terms of novel functions and shorter development cycles has led to many challenges in system design and verification. The down side of improved functionality is the unmanaged complexity: never have we had systems built with so many different disciplines simultaneously at work-each with their own collection of conceptual and concrete tools. To manage complexity in this setting it is essential to recognise and accommodate the diversities as early as they arise. For most application domains this results in a multi-paradigm development process, and is most visible in the design modelling stage. We discuss how mathematical modelling and analysis of system properties is affected by having several disciplines at work. We show that soundness in design models can be obtained both through static analysis based on properties defined for a meta-model, and through formal verification of an instance of a model-the latter being defined in terms of conformance to a requirements specification. |
| Starting Page | 141 |
| Ending Page | 146 |
| File Size | 614392 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780365666 |
| DOI | 10.1109/CACSD.2000.900201 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-09-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Embedded system Mathematical model Digital systems Hardware Systems engineering and theory Electronic equipment testing Information analysis Embedded computing Information science Digital control |
| Content Type | Text |
| Resource Type | Article |
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