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Part of book or chapter of book
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https://doi.org/10.1007/3-540-...
Part of book or chapter of book . 2001 . Peer-reviewed
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Proving Deadlock Freedom in Component-Based Programming

Authors: INVERARDI, PAOLA; Sebastian, Uchitel;

Proving Deadlock Freedom in Component-Based Programming

Abstract

Emerging technologies such as commercial off-the-shelf products (COTS) and component integration frameworks such as CORBA and COM are changing the way software is produced. Distributed applications are being designed as sets of autonomous, decoupled components, allowing rapid development based on integration of COTS and simplifying architectural changes required to cope with the dynamics of the underlying environment. Although integration technologies and development techniques assume rather simple architectural contexts, they face a critical problem: Component integration.So far existing techniques for detecting dynamic integration errors are based on behavioural analysis of the composed system and have serious space complexity problems. In this work we propose a broader notion of component semantics based on assumptions and a method for proving deadlock freedom in a component-based setting. Our goal is to prevent and detect these errors in component based programming settings in a component-wise fashion. We aim for effective methods that can scale to real size applications even at the price of incompleteness as opposed to many existing methods that although theoretically complete might fail in practice.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
Green
bronze