Verification of Model Transformations Using Isabelle/HOL and Scala

Meghzili, Said; Chaoui, Allaoua; Strecker, Martin; Kerkouche, Elhillali

doi:10.1007/s10796-018-9860-9

Cited by 12 publications

(9 citation statements)

References 27 publications

(24 reference statements)

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“…Other approaches based on code generation techniques have shown how difficult it is to prove the conformity of the executable code to the source model [21]. In contrast, our solution, thanks to its correct-by-construction approximation, ensures the execution's conformity with respect to the running model (see Figure 7).…”

Section: Discussionmentioning

confidence: 93%

Models@Runtime: The Development and Re-Configuration Management of Python Applications Using Formal Methods

et al. 2021

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Models@runtime (models at runtime) are based on computation reflection. Runtime models can be regarded as a reflexive layer causally connected with the underlying system. Hence, every change in the runtime model involves a change in the reflected system, and vice versa. To the best of our knowledge, there are no runtime models for Python applications. Therefore, we propose a formal approach based on Petri Nets (PNs) to model, develop, and reconfigure Python applications at runtime. This framework is supported by a tool whose architecture consists of two modules connecting both the model and its execution. The proposed framework considers execution exceptions and allows users to monitor Python expressions at runtime. Additionally, the application behavior can be reconfigured by applying Graph Rewriting Rules (GRRs). A case study using Service-Level Agreement (SLA) violations is presented to illustrate our approach.

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Section: Discussionmentioning

confidence: 93%

Models@Runtime: The Development and Re-Configuration Management of Python Applications Using Formal Methods

et al. 2021

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“…• WP can be implemented via theorem provers or SMT [48,49]. There is also work on verification of model transformation using Isabel/HOL [15,43] (Rachid Echahed).…”

Section: Discussion and Outlookmentioning

confidence: 99%

Analysis of Graph Transformation Systems: Native vs Translation-based Techniques

Heckel¹,

Lambers²,

Saadat³

2019

Electron. Proc. Theor. Comput. Sci.

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The paper summarises the contributions in a session at GCM 2019 presenting and discussing the use of native and translation-based solutions to common analysis problems for Graph Transformation Systems (GTSs). In addition to a comparison of native and translation-based techniques in this area, we explore design choices for the latter, s.a. choice of logic and encoding method, which have a considerable impact on the overall quality and complexity of the analysis. We substantiate our arguments by citing literature on application of theorem provers, model checkers, and SAT/SMT solver in GTSs, and conclude with a general discussion from a software engineering perspective, including comments from the workshop participants, and recommendations on how to investigate important design choices in the future.

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“…This method has been integrated with the anATLyzer tool. In [21], the authors proposed an approach that transforms BPMN models to Petri net models using the GROOVE tool and its model checker [3]. They proposed how to validate the termination of the transformation and how to verify the preservation of certain semantic properties of the transformation.…”

Section: Related Workmentioning

confidence: 99%

A UML 2.0 Activity Diagrams/CSP Integrated Approach for Modeling and Verification of Software Systems

Elmansouri

Meghzili

Chaoui

2021

csci

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This paper proposes an approach integrating UML 2.0 Activity Diagrams (UML2-AD) and Communicating Sequential Process (CSP) for modeling and verication of software systems. A UML2-AD is used for modeling a software system while CSP is used for verication purposes. The proposed approach consists of another way of transforming UML2-AD models to Communicating Sequential Process (CSP) models. It focuses also on checking the correctness of some properties of the transformation itself. These properties are specified using Linear Temporal Logic (LTL) and verified using the GROOVE model checker. This approach is based on Model Driven Engineering (MDE). The meta-modelling is realized using AToMPM tool while the model transformation and the correctness of its properties are realized using GROOVE tool. Finally, we illustrated this approach through a case study.

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Verification of Model Transformations Using Isabelle/HOL and Scala

Cited by 12 publications

References 27 publications

Models@Runtime: The Development and Re-Configuration Management of Python Applications Using Formal Methods

Models@Runtime: The Development and Re-Configuration Management of Python Applications Using Formal Methods

Analysis of Graph Transformation Systems: Native vs Translation-based Techniques

A UML 2.0 Activity Diagrams/CSP Integrated Approach for Modeling and Verification of Software Systems

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