Integrating Model-Based Testing in Model-Driven Web Engineering

Escott, Eban; Strooper, Paul; Steel, Jim; King, Paul H.

doi:10.1109/apsec.2011.61

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…https://www.claroline.net/ 16 https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html17 Before using the tool, the students executed the testing of the selected requirement, in a completely manual way: the definition of the test steps, as well as their execution, was performed manually.…”

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confidence: 99%

MoFQA: A TDD Process and Tool for Automatic Test Case Generation from MDD Models

Riquelme¹,

González²,

Aquino³

et al. 2019

CLEIej

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Techniques for quality assurance have to deal with the complexity of software systems and the high probabilities of new errors appearing in any stage of the software life cycle. Software testing is a widely used approach but, due to the costs involved in this process, development teams often debate its applicability in their projects. In the endeavor to reduce the complexity of this process, this study presents an approach for software development based in Test-Driven Development (TDD) supported by Model-Based Testing (MBT) tools to allow automatic test-case generation. The approach, called MoFQA (Model-First Quality Assurance), consists of two main aspects: i) a method to drive software development based on testing techniques which defines steps and recom-mended practices; and, ii) a tool-set to allow clients and stakeholders to model system requirements, testers to create models that represent unit and abstract tests, and transformation tools used to generate executable tests. The tools that MoFQA provides are focusing on web applications. In order to validate the MoFQA tools, two validation experiences are presented.

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mentioning

confidence: 99%

MoFQA: A TDD Process and Tool for Automatic Test Case Generation from MDD Models

Riquelme¹,

González²,

Aquino³

et al. 2019

CLEIej

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show abstract

“…This is evident from the result of the 2014 MBT User Survey, where WA respondents were fewer than 20% [126]. However, there are remarkable improvements since the last decade [10,116] [ 77,125,[127][128][129][130][131][132][133][134]. Secondly, a model of a WA can be used as a base in analysing the WA, as demonstrated by Ricca et al [135].…”

Section: Model-based Testingmentioning

confidence: 99%

Using models to support the search-based testing of web applications

Yasin¹

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A web application model offers a high-level description of a web application's behaviour. Using the web application's model to derive test cases serves as a good starting point in testing, since the model is created based on the web application's specification. To improve the capabilities of the derived test cases in revealing faults in the web application's behaviour, these test cases can be improved using search-based testing. In this thesis, we propose a search-based testing approach that explores a large search space of possible combinations of a web application's behaviour. The approach evolves an initial set of model-based test cases to produce more test cases that are more effective in finding failures in the web application's behaviour. Firstly, we present a pseudo-Genetic Algorithm that evolves a set of model-based test cases by mutating or recombining their model-based genes to obtain a set of model-based offspring test cases. The algorithm transforms the offspring test cases into executable test cases. We incorporate the pseudo-Genetic Algorithm in a search-based testing tool called MutateIFML. We describe the model-based test representation which uses the Interaction Flow Modelling Language to model the test cases and the system under test. We define the mutation score of the population as the fitness function for MutateIFML. Secondly, we validate MutateIFML's capability and applicability using two web applications: OpenBiblio and RosarioSIS. We discuss our results and the achievements of MutateIFML in producing effective test cases that are measured by the capability of the population in killing faults that are seeded into these web applications. The validation of the approach reveals that enhancing the single fitness function with a coverage indicator can help in guiding the selection phase of the search-based testing approach. We discover MutateIFML's limitation in scaling up to larger more complicated web applications due to the initial manual task of fault-seeding, the absence of a suitable automated support tool for the testing framework and the complexities of MutateIFML. We then extend the single fitness function used in MutateIFML to include branch coverage. We validate the improved multi-objective fitness function with a small case study that focuses on a module of a web application to examine the viability of the multi-objective fitness function in killing additional mutant systems under test. Although the multiobjective fitness function is able to kill additional mutants, we realise that it can cause MutateIFML's testing cost to increase substantially. Finally, we suggest possible directions for future work. Financial support Scholarship support from the Ministry of Higher Education Malaysia (MoHE) and Universiti Tun Hussein Onn Malaysia (UTHM) in Malaysia is gratefully acknowledged. Temporary scholarship support and financial assistance from the

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Jidoka: automation with a human touch

Escott

2024

Softw Syst Model

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Integrating Model-Based Testing in Model-Driven Web Engineering

Cited by 6 publications

References 19 publications

MoFQA: A TDD Process and Tool for Automatic Test Case Generation from MDD Models

MoFQA: A TDD Process and Tool for Automatic Test Case Generation from MDD Models

Using models to support the search-based testing of web applications

Jidoka: automation with a human touch

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