ProTest: An Automatic Test Environment for B Specifications

Satpathy, Manoranjan; Leuschel, Michaël; Butler, Michael

doi:10.1016/j.entcs.2004.12.009

Cited by 28 publications

(22 citation statements)

References 6 publications

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“…6 presents the same information for the improved and randomization experiments, which always lead to the same number of tests since the test data randomization feature does not concern test scenarios generation. In both charts, it is possible to see the 5 Amount of the test cases generated by BETA in the original experiment of the b2llvm and C4B case study. Bar charts with the amount of infeasible test cases and negative and positive feasible test cases generated by BETA in the original experiment of the b2llvm and C4B case study Fig.…”

Section: Test Case Generationmentioning

confidence: 99%

“…These requirements are made of operations to cover and predicates that must hold true at the end of each test case. In [5], the authors presented a simple case study to evaluate ProTest and discuss theoretical differences concerning other approaches.…”

Section: Related Workmentioning

confidence: 99%

“…In [5], an automatic test environment for B specifications called ProTest is presented. It uses model-checking techniques to find test sequences that satisfy its test generation parameters.…”

Section: Related Workmentioning

confidence: 99%

“…Formal methods and software testing are two techniques with this purpose. Many researchers have tried to combine these two techniques to take advantage of their most interesting aspects ( [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]). This combination can bring benefits such as reduction of development costs through the application of verification techniques in the initial development phases, when faults are cheaper to be fixed, and automatic generation of tests from formal specifications [17].…”

Section: Introductionmentioning

confidence: 99%

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An empirical study of test generation with BETA

2016

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Background: BETA (Bbased testing approach) is a toolsupported approach to generate test cases from Bmethod specifications through the application of input space partitioning and logical coverage criteria. The BETA tool automates the whole process, from the design of abstract test cases to the generation of executable test scripts. Methods: In this paper, we present an empirical study that was performed to evaluate and contribute to the development of BETA. The study evaluated the applicability of BETA on problems with different characteristics and used techniques of code coverage and mutation analysis to measure the quality of the generated test cases. The study was carried out in different rounds, and the results of each round were used as a reference for the improvement of the approach and its supporting tool. Results: These case studies were relevant not only for the evaluation of BETA but also to evaluate how different features affect the usability of the approach and the quality of the test cases and to compare the quality of the test cases generated using different coverage criteria. Conclusions:The results of this study showed that (1) BETAgenerated test scenarios for the different criteria follow theoretical expectations in terms of criteria subsumption; (2) the BETA implementation of the logical criteria generates more efficient test sets regarding code and mutation coverage than the input space partitioning ones; (3) it is important to go beyond the strict requirements of the criteria by adding some additional variation (randomization) of the input data; and (4) the algorithms designed to combine test requirements into test cases need to deal carefully with infeasible (logically unsatisfiable) combinations.

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Section: Test Case Generationmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An empirical study of test generation with BETA

2016

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“…One is the commercial LEIROS tool [13], based on the former BZ-testing tool [7], which is rooted in constraint logic programming to find boundary values. The other approach [18,19] uses ProB [17] -itself also rooted in constraint logic programming -and is based on adding tautologies (e.g., x=∅ or x≠∅) to guards and the invariant and then uses the disjunctive normal form (DNF) to partition the executed operations according to the particular disjuncts covered. Traces are generated which try to cover every operation in every reachable partition.…”

Section: Related Workmentioning

confidence: 99%

Applying Model Checking to Generate Model-Based Integration Tests from Choreography Models

Wieczorek

Kozyura

Röth

et al. 2009

Testing of Software and Communication Systems

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Abstract. Choreography models describe the communication protocols between services. Testing of service choreographies is an important task for the quality assurance of service-based systems as used e.g. in the context of service-oriented architectures (SOA). The formal modeling of service choreographies enables a model-based integration testing (MBIT) approach. We present MBIT methods for our service choreography modeling approach called Message Choreography Models (MCM). For the model-based testing of service choreographies, MCMs are translated into Event-B models and used as input for our test generator which uses the model checker ProB.

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A methodology for detection and classification of power quality disturbances using a real‐time operating system in the context of home energy management systems

et al. 2020

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Demand-side management comprises a portfolio of actions on the consumers' side to ensure reliable power indices from the electrical system. The home energy management system (HEMS) is used to manage the consumption and production of energy in smart homes. However, the technology of HEMS architecture can be used for the detection and classification of power quality disturbances. This paper presents low-voltage metering hardware that uses an ARM Cortex M4 and real-time operating system to detect and classify power quality disturbances. In the context of HEMS, the proposed metering infrastructure can be used as a smart meter, which provides the service of power quality monitoring. For this type of application, there is a need to ensure that the development of this device has an acceptable cost, which is one of the reasons for the choice of an ARM microprocessor. However, managing a wide range of operations (data acquisition, data preprocessing, disturbance detection and classification, energy consumption, and data exchange) is a complex task and, consequently, requires the optimization of the embedded software. To overcome this difficulty, the use of a real-time operating system provided by Texas Instruments (called TI-RTOS) is proposed with the objective of managing operations at the hardware level. Thus, a methodology with low computational cost has been defined and embedded. The proposed approach uses a preprocessing stage to extract some features that are used as inputs to detect and classify disturbances. In this way, it was possible to evaluate and demonstrate the performance of the embedded algorithm when applied to synthetic and real power quality signals. Consequently, it is noted that the results are

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ProTest: An Automatic Test Environment for B Specifications

Cited by 28 publications

References 6 publications

An empirical study of test generation with BETA

An empirical study of test generation with BETA

Applying Model Checking to Generate Model-Based Integration Tests from Choreography Models

A methodology for detection and classification of power quality disturbances using a real‐time operating system in the context of home energy management systems

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