2003
DOI: 10.21236/ada413574
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Volume III: A Technology for Predictable Assembly from Certifiable Components

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Cited by 72 publications
(46 citation statements)
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“…A runtime environment provides component coordination mechanisms (or "connectors") and implements other resource management policies (scheduling, synchronization, etc.). We define a component technology as an implementation of this design idiom [17], and many such implementations are possible [19]. Our approach has much in common with [12], although we give full behavioral models for components (UML statecharts and action language) and, subsequently, can generate full implementations of components and assemblies.…”
Section: The Containerized Component Idiommentioning
confidence: 99%
“…A runtime environment provides component coordination mechanisms (or "connectors") and implements other resource management policies (scheduling, synchronization, etc.). We define a component technology as an implementation of this design idiom [17], and many such implementations are possible [19]. Our approach has much in common with [12], although we give full behavioral models for components (UML statecharts and action language) and, subsequently, can generate full implementations of components and assemblies.…”
Section: The Containerized Component Idiommentioning
confidence: 99%
“…A Prediction-Enabled Component Technology (PECT) [21] is a development infrastructure that incorporates development tools and analysis techniques. PECT is an ongoing research project at the Software Engineering Institute (SEI) at the Carnegie Mellon University.…”
Section: Pectmentioning
confidence: 99%
“…Thus, the Software Engineering Institute (SEI) promotes its Predictable Assembly from Certifiable Components (PACC) initiative: how component technology can be extended to achieve predictable assembly, enabling runtime behavior to be predicted from the properties of components. The ongoing work concentrates in a PredictionEnabled Component Technology (PECT) as a method to integrate state-of-the-art techniques for reasoning about software quality attributes [23].…”
Section: Related Workmentioning
confidence: 99%