Model-based approach for automated test case generation from visual requirement specifications

Singi, Kapil; Era, Dipin; Kaulgud, Vikrant

doi:10.1109/icstw.2015.7107405

Cited by 2 publications

(5 citation statements)

References 9 publications

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“…Singi et al [21] proposed an MB-TCG approach for testing from visual requirement specifications, focusing specifically on prototyping. The TDG in this approach was considered a manual process because the test cases only provided templates for the tester to enter appropriate test data.…”

Section: Related Workmentioning

confidence: 99%

An EFSM-Based Test Data Generation Approach in Model-Based Testing

Mohd-Shafie¹,

Kadir²,

Khatibsyarbini³

et al. 2022

Computers, Materials &Amp; Continua

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Testing is an integral part of software development. Current fastpaced system developments have rendered traditional testing techniques obsolete. Therefore, automated testing techniques are needed to adapt to such system developments speed. Model-based testing (MBT) is a technique that uses system models to generate and execute test cases automatically. It was identified that the test data generation (TDG) in many existing model-based test case generation (MB-TCG) approaches were still manual. An automatic and effective TDG can further reduce testing cost while detecting more faults. This study proposes an automated TDG approach in MB-TCG using the extended finite state machine model (EFSM). The proposed approach integrates MBT with combinatorial testing. The information available in an EFSM model and the boundary value analysis strategy are used to automate the domain input classifications which were done manually by the existing approach. The results showed that the proposed approach was able to detect 6.62 percent more faults than the conventional MB-TCG but at the same time generated 43 more tests. The proposed approach effectively detects faults, but a further treatment to the generated tests such as test case prioritization should be done to increase the effectiveness and efficiency of testing.

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Section: Related Workmentioning

confidence: 99%

An EFSM-Based Test Data Generation Approach in Model-Based Testing

Mohd-Shafie¹,

Kadir²,

Khatibsyarbini³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…Generally two approaches are used for test suite automation -software requirements specification (SRS) analysis and source code parsing. In SRS analysis, test cases are automatically generated from requirements, various UML diagrams -class, state, sequence diagrams and also from GUI screens (Nebut et al, 2006;Chen et al, 2006;Conroy et al, 2007;Cartaxo et al, 2007;Javed et al, 2007;Utting and Legeard, 2007;Enoiu et al, 2013;Sharma and Biswas, 2014;Singi et al, 2015;Khatun and Sakib, 2016). This approach can also be referred as semantic approach because the software specification is considered here.…”

Section: Motivationmentioning

confidence: 99%

“…However, as SRS is created in the early development stage, the diagrams are often backdated and do not match the software code segments completely. Nebut et al (2006) proposed a semantic test generation approach using use cases and sequence diagrams and Singi et al (2015) used visual requirement specifications or prototypes as semantics for automated test generation. Both the papers suffered from the inherent drawbacks of semantic approach.…”

Section: Motivationmentioning

confidence: 99%

“…As stated previously, SRS analysis and source code parsing -these two approaches can be termed as semantic and syntactic approach accordingly. In SRS analysis, which deals with the software semantics, requirements, various UMLs -class, state, sequence diagrams as well as GUI screens are analyzed (Nebut et al, 2006;Chen et al, 2006;Conroy et al, 2007;Cartaxo et al, 2007;Javed et al, 2007;Utting and Legeard, 2007;Enoiu et al, 2013;Sharma and Biswas, 2014;Singi et al, 2015). Similarly, source code parsing or the so called syntactic approach uses the software syntax for the test generation (Diaz et al, 2003;Godefroid et al, 2005;Pacheco et al, 2007;Fix, 2009;Fraser and Arcuri, 2011;Duclos et al, 2013;Pezze et al, 2013;Arcuri et al, 2014).…”

Section: Literature Review Of Automated Test Generationmentioning

confidence: 99%

“…However, in addition, test generation to support integration testing could also be considered. Singi et al (2015) proposed a model-based approach for automated test case generation from visual requirement specifications (also known as prototypes). At first, models were created from the prototypes based on a proposed graph based modelling technique.…”

Section: Semantic Approachmentioning

confidence: 99%

See 2 more Smart Citations

Software semantics and syntax as a tool for automated test generation

Nahar

Sakib

2017

IJCCBS

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Test automation saves time and cost by digitising test generation and execution. The existing techniques fail to produce effective and compliable test scripts for not considering both syntactic and semantic information. The proposed three-layer architecture incorporates these information for generation of proper test scripts. It analyses the source code for extracting syntax and UML diagrams for obtaining semantics. Class methods and sequence of calls are extracted from UMLs, and syntax for class instantiations and method calls are accumulated from source code to generate unit and integration tests. A case study as well as experiments, conducted on sample Java projects, conform the competence of the generation process along with the generated test scripts.

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Model-based approach for automated test case generation from visual requirement specifications

Cited by 2 publications

References 9 publications

An EFSM-Based Test Data Generation Approach in Model-Based Testing

An EFSM-Based Test Data Generation Approach in Model-Based Testing

Software semantics and syntax as a tool for automated test generation

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