Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Consistency and interoperability checking for component interaction rules

Authors: Jin, Yan; Han, Jun;

Consistency and interoperability checking for component interaction rules

Abstract

In component-based software development, it is important to ensure interoperability between components based on their unambiguous semantic descriptions, in order to obtain a viable system. A body of recent work has explored the use of formal languages in specifying component interaction protocols for interoperability checking, but lacks the practicality required by software practitioners for daily use. Faced with this, we have developed a lightweight specification approach to component interaction rules, which has the necessary expressiveness and employs event patterns in rule specification for easy adoption by practitioners. In this paper, we present a FSA-based semantic model for such rules and novel studies of rule consistency and system-wide protocol interoperability for components annotated with interaction rules. We also develop incremental approaches and tools to check these properties, which provide an effective means to discover errors in the design of component interaction rules and component-based system architectures.

Related Organizations
  • BIP!
    Impact byBIP!
    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).
    8
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
8
Average
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!