Avoidance of State Explosion Using Dependency Analysis in Model Checking Control Flow Model

Park, Sachoun; Kwon, Gihwon

doi:10.1007/11751649_99

Cited by 16 publications

(11 citation statements)

References 2 publications

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“…In [18] the cone of influence technique is used to reduce the state space of fFSM models, a variant of Harel's Statecharts; models that could not be verified before, have been verified successfully after its application. The data abstraction technique [17], instead, consists of creating a mapping between the data values and a small set of abstract data values; the mapping, extended to states and transitions, usually reduces the state space, but it may not preserve properties.…”

Section: Related Workmentioning

confidence: 99%

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

Arcaini

Gargantini

2014

Science of Computer Programming

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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.

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Section: Related Workmentioning

confidence: 99%

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

Arcaini

Gargantini

2014

Science of Computer Programming

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“…The cone of influence (COI) technique [9] reduces the size of the transition graph by removing from the model the variables that do not influence the variables in the property one wants to check. In [18] COI is used to reduce the state space of fFSM models, a variant of Harel's Statecharts; models that could not be verified before, have been verified successfully after its application. The data abstraction technique [9], instead, consists in creating a mapping between the data values and a small set of abstract data values; the mapping, extended to states and transitions, usually reduces the state space, but it may not preserve properties.…”

Section: Related Workmentioning

confidence: 99%

An Abstraction Technique for Testing Decomposable Systems by Model Checking

2014

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Abstract. Test generation by model checking exploits the capability of model checkers to return counterexamples upon property violations. The approach suffers from the state explosion problem of model checking. For property verification, different abstraction techniques have been proposed to tackle this problem. However, such techniques are not always suitable for test generation. In this paper we focus on Decomposable by Dependency Asynchronous Parallel (DDAP) systems, composed by several subsystems running in parallel and connected together in a way that the inputs of one subsystem are provided by another subsystem. We propose a test generation approach for DDAP systems based on a decompositional abstraction that considers one subsystem at a time. It builds tests for the single subsystems and combines them later in order to obtain a global system test. Such approach avoids the exponential increase of the test generation time and memory consumption. The approach is proved to be sound, but not complete.

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“…In [14] the cone of influence technique is used to reduce the state space of fFSM models, a variant of Harel's Statecharts; models that could not be verified before, have been verified successfully after its application. The data abstraction technique [5], instead, consists of creating a mapping between the data values and a small set of abstract data values; the mapping, extended to states and transitions, usually reduces the state space, but it may not preserve properties.…”

Section: Related Workmentioning

confidence: 99%

Test Generation for Sequential Nets of Abstract State Machines

Arcaini

Bolis

Gargantini

2012

Abstract State Machines, Alloy, B, VDM, and Z

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Abstract. Test generation techniques based on model checking suffer from the state space explosion problem. However, for a family of systems that can be easily decomposed in sub-systems, we devise a technique to cope with this problem. To model such systems, we introduce the notion of sequential net of Abstract State Machines (ASMs), which represents a system constituted by a set of ASMs such that only one ASM is active at every time. Given a net of ASMs, we first generate a test suite for every ASM in the net, then we combine the tests in order to obtain a test suite for the entire system. We prove that, under some assumptions, the technique preserves coverage of the entire system. We test our approach on a benchmark and we report a web application example for which we are able to generate complete test suites.

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Avoidance of State Explosion Using Dependency Analysis in Model Checking Control Flow Model

Cited by 16 publications

References 2 publications

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

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

An Abstraction Technique for Testing Decomposable Systems by Model Checking

Test Generation for Sequential Nets of Abstract State Machines

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