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Lightweight Formal Methods

Authors: Daniel Jackson;

Lightweight Formal Methods

Abstract

Formal methods have offered great benefits, but often at a heavy price. For everyday software development, in which the pressures of the market don't allow full-scale formal methods to be applied, a more lightweight approach is called for. I'll outline an approach that is designed to provide immediate benefit at relatively low cost. Its elements are a small and succinct modelling language, and a fully automatic analysis scheme that can perform simulations and find errors. I'll describe some recent case studies using this approach, involving naming schemes, architectural styles, and protocols for networks with changing topologies. I'll make some controversial claims about this approach and its relationship to UML and traditional formal specification approaches, and I'll barbeque some sacred cows, such as the belief that executability compromises abstraction.

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    96
    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.
    Top 10%
    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 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
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!
96
Top 10%
Top 1%
Top 10%
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