Rigorous development of component-based systems using component metadata and patterns

Author:

Oliveira M. V. M.1,Antonino P.2,Ramos R.2,Sampaio A.2,Mota A.2,Roscoe A. W.3

Affiliation:

1. Departamento de Informática e Matemática Aplicada, Universidade Federal do Rio Grande do Norte, CampusUniversitário, Lagoa Nova, CEP 59078-970, Natal, RN, Brazil

2. Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil

3. Department of Computer Science, University of Oxford, Oxford, UK

Abstract

Abstract In previous work we presented a CSP-based systematic approach that fosters the rigorous design of component-based development. Our approach is strictly defined in terms of composition rules, which are the only permitted way to compose components. These rules guarantee the preservation of properties (particularly deadlock freedom) by construction in component composition. Nevertheless, their application is allowed only under certain conditions whose verification via model checking turned out impracticable even for some simple designs, and particularly those involving cyclic topologies. In this paper, we address the performance of the analysis and present a significantly more efficient alternative to the verification of the rule side conditions, which are improved by carrying out partial verification on component metadata throughout component compositions and by using behavioural patterns. The use of metadata, together with behavioural patterns, demands new composition rules, which allow previous exponential time verifications to be carried out now in linear time. Two case studies (the classical dining philosophers, also used as a running example, and an industrial version of a leadership election algorithm) are presented to illustrate and validate the overall approach.

Publisher

Association for Computing Machinery (ACM)

Subject

Theoretical Computer Science,Software

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4. Efficient Verification of Concurrent Systems Using Synchronisation Analysis and SAT/SMT Solving;ACM Transactions on Software Engineering and Methodology;2019-08-17

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