A model‐driven process for engineering a toolset for a formal method

Science of Computer Programming

2014

Self Cite

Model-based test generation consists in deriving system traces from specifications of systems under test. There exist several techniques for test generation, which, however, may suffer from scalability problems. In this paper, we assume that the system under test can be divided in several subsystems such that only one subsystem is active at the time. Moreover, each subsystem decides when and to which other subsystem to pass the control, by also initializing the initial state of the next subsystem in a desired way. We model these systems and we show how it is possible to generate tests in a very efficient way that exploits the division of the entire system in subsystems. Test generation for the whole system is performed by visiting each subsystem and generating tests for it. The tests are combined in order to obtain valid system traces. We show how several visiting policies influence the completeness of the test generation process.

Section: Test Generation For Asms By Model Checkingmentioning

confidence: 99%

Test generation for sequential nets of Abstract State Machines with information passing

Science of Computer Programming

2014

Self Cite

“…For the ASM method, the ASMETA (ASM mETAmodeling) framework 3 [4,12] provides basic functionalities for ASM models creation and manipulation (as editing, storage, interchange, access, etc. ), as well as advanced model analysis techniques (as validation, verification, testing, model review, requirements analysis, runtime monitoring, etc.).…”

Section: Modeling Process and Supporting Toolsmentioning

confidence: 99%

“…In the following sections we present the five steps of the refinement process for modeling the case study 4 . Fig.…”

Section: Models Chain Of the Lgsmentioning

confidence: 99%

Modeling and Analyzing Using ASMs: The Landing Gear System Case Study

Communications in Computer and Information Science

Riccobene

2014

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Abstract. The paper presents an Abstract State Machine (ASM) specification of the Landing Gear System case study, and shows how the ASMETA framework can be used to support the modeling and analysis (validation and verification) activities for developing a rigorous and correct model in terms of ASMs. We exploit the two fundamental concepts of the ASM method, i.e., the notion of ground model and the refinement principle, and we achieve model development and model analysis by the combined use of formal methods for specification and for verification.

“…Indeed, the result of this work has to be also viewed towards the goal of engineering and building an environment able to support the major software life cycle activities by means of the integration of several tools that can be used for different purposes on the base of the same specification model. We are trying to achieve this goal through the open project ASMETA (ASM mETAmodeling) [3], which permits the integrated use of different tools for ASM model development and manipulation. Currently, the ASMETA tool-set allows creation, storage, interchange, Java representation, simulation, testing, scenario-based validation, model checking, and model review of ASM models for software systems 3 .…”

Section: Introductionmentioning

confidence: 99%

“…We are trying to achieve this goal through the open project ASMETA (ASM mETAmodeling) [3], which permits the integrated use of different tools for ASM model development and manipulation. Currently, the ASMETA tool-set allows creation, storage, interchange, Java representation, simulation, testing, scenario-based validation, model checking, and model review of ASM models for software systems 3 .…”

Section: Introductionmentioning

confidence: 99%

CoMA: Conformance Monitoring of Java Programs by Abstract State Machines

Riccobene

2012

Runtime Verification

Self Cite

Abstract. We present CoMA (Conformance Monitoring by Abstract State Machines), a specification-based approach and its supporting tool for runtime monitoring of Java software. Based on the information obtained from code execution and model simulation, the conformance of the concrete implementation is checked with respect to its formal specification given in terms of Abstract State Machines. At runtime, undesirable behaviors of the implementation, as well as incorrect specifications of the system behavior are recognized. The technique we propose makes use of Java annotations, which link the concrete implementation to its formal model, without enriching the code with behavioral information contained only in the abstract specification. The approach fosters the separation between implementation and specification, and allows the reuse of specifications for other purposes (formal verification, simulation, model-based testing, etc.).