• Media type: E-Article; Text
  • Title: On the verification of SCOOP programs
  • Contributor: Caltais, Georgiana [Author]; Meyer, Bertrand [Author]
  • imprint: KOPS - The Institutional Repository of the University of Konstanz, 2017
  • Published in: Science of Computer Programming. 2017, 133(2), pp. 194-215. ISSN 0167-6423. eISSN 1872-7964. Available under: doi:10.1016/j.scico.2016.08.005
  • Language: English
  • DOI: https://doi.org/10.1016/j.scico.2016.08.005
  • Keywords: Deadlock detection ; Alias analysis ; Operational semantics ; Rewriting logic ; SCOOP
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  • Description: In this paper we focus on the development of a unifying framework for the formal modeling of an object oriented-programming language, its underlying concurrency model and their associated analysis tools. More precisely, we target SCOOP – an elegant concurrency model, recently formalized based on Rewriting Logic (RL) and Maude. SCOOP is implemented in Eiffel and its applicability is demonstrated also from a practical perspective, in the area of robotics programming. Our contribution consists of devising and integrating an alias analyzer and a Coffman deadlock detector under the roof of the same RL-based semantic framework of SCOOP. This enables using the Maude rewriting engine and its LTL model-checker “for free,” in order to perform the analyses of interest. We discuss the limitations of our approach for model-checking deadlocks and provide possible workarounds for the state space explosion problem. On the aliasing side, we propose an extension of a previously introduced alias calculus based on program expressions, to the setting of unbounded program executions. Moreover, we devise a corresponding executable specification easily implementable on top of the SCOOP formalization. An important property of our extension is that, in non-concurrent settings, the corresponding alias expressions can be over-approximated in terms of a notion of regular expressions. This further enables us to derive an algorithm for computing a sound over-approximation of the “may aliasing” information, where soundness stands for the lack of false negatives. ; published
  • Access State: Open Access
  • Rights information: In Copyright