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Titlebook: Leveraging Applications of Formal Methods, Verification and Validation. Technologies for Mastering C; 6th International Sy Tiziana Margaria

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41#
發(fā)表于 2025-3-28 18:28:45 | 只看該作者
Leveraging Applications of Formal Methods, Verification and Validation. Technologies for Mastering C978-3-662-45234-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
42#
發(fā)表于 2025-3-28 20:18:17 | 只看該作者
Combinatory Logic Synthesizer its underlying theory, combinatory logic with intersection types, and exemplify its application to synthesis. We describe features and architecture of the tool and our plans for its ongoing and future development. Finally, we present some use cases in ongoing work, especially in the context of synthesis for Object Oriented Software.
43#
發(fā)表于 2025-3-29 02:48:19 | 只看該作者
Introduction to “Rigorous Engineering of Autonomic Ensembles”– Track Introductionvironments. Often their nodes partake in complex interactions with other nodes or with humans. We call these kinds of distributed, complex systems operating in openended and changing environments, ensembles.
44#
發(fā)表于 2025-3-29 06:16:55 | 只看該作者
45#
發(fā)表于 2025-3-29 07:38:55 | 只看該作者
Fomal Methods and Analyses in Software Product Line Engineeringeduce time-to-market and costs and to increase the quality of individual products. In order to achieve these goals, formal methods offer promising analysis techniques, which are best applied throughout the product-line lifecycle so as to maximize their overall efficiency and effectiveness.
46#
發(fā)表于 2025-3-29 14:33:08 | 只看該作者
47#
發(fā)表于 2025-3-29 18:03:37 | 只看該作者
48#
發(fā)表于 2025-3-29 20:13:27 | 只看該作者
49#
發(fā)表于 2025-3-30 03:34:00 | 只看該作者
On Programming and Policing Autonomic Computing Systems the policing ones. The integrated, semantic-driven framework also permits simulating and analysing PSCEL programs. Usability and potentialities of the approach are illustrated by means of a robot swarm case study.
50#
發(fā)表于 2025-3-30 05:21:23 | 只看該作者
Active Learning of Nondeterministic Systems from an ioco Perspectiveties for the structure used in the algorithm, derived from the semantics of labelled transition systems. Such properties help the learning, by avoiding to query the system under learning when it is not necessary.
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