Search-Based Test Data Generation for JavaScript Functions that Interact with the DOM

Elyasov, Alexander; Prasetya, I. S. W. B.; Hage, Jurriaan

doi:10.1109/issre.2018.00020

Cited by 7 publications

(4 citation statements)

References 49 publications

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“…To the best of our knowledge, the only existing SBST work that deal with JavaScript instrumentation is the JEDI tool [21], which aims at unit testing of JavaScript code that interacts with the DOM in the browser. However, such work does not specify how the instrumentation was done, nor does it mention many of the issues we solve in this paper.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

JavaScript Instrumentation for Search-Based Software Testing: A Study with RESTful APIs

Zhang

Belhadi

Arcuri

2022

2022 IEEE Conference on Software Testing, Verification and Validation (ICST)

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JavaScript is one of the most popular programming languages. However, its dynamic nature poses several challenges to automated testing techniques. In this paper, we propose an approach and open-source tool support to enable white-box testing of JavaScript applications using Search-Based Software Testing techniques. We provide an automated approach to collect search-based heuristics like the common Branch Distance. To empirically evaluate our results, we integrated our technique into the EVOMASTER test generation tool, and carried out analyses on the automated system testing of RESTful APIs. Experiments on 5 NodeJS APIs show that our technique leads to significantly better results than existing black-box and grey-box testing tools in terms of code coverage and fault detection.

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Section: Related Workmentioning

confidence: 99%

“…However, such work does not specify how the instrumentation was done, nor does it mention many of the issues we solve in this paper. It was claimed that JEDI is open-source [21], but its repository [22] on GitHub is empty at the time of this writing. So it is not possible to verify if such challenges were addressed.…”

Section: Related Workmentioning

confidence: 99%

JavaScript Instrumentation for Search-Based Software Testing: A Study with RESTful APIs

Zhang

Belhadi

Arcuri

2022

2022 IEEE Conference on Software Testing, Verification and Validation (ICST)

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“…In the last decades, various automated testing techniques have been developed and extensively studied [3,10,16,23,32]. Search-based testing (SBT) [2,11,12,18] has shown its effectiveness. However, SBT lacks the ability to reason, hence severely hampering its ability to handle the vastness and the complexity of typical games' interaction space.…”

Section: Related Workmentioning

confidence: 99%

Using an agent-based approach for robust automated testing of computer games

Shirzadehhajimahmood

Prasetya

Dignum

et al. 2021

Proceedings of the 12th International Workshop on Automating TEST Case Design, Selection, and Evaluation

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Modern computer games typically have a huge interaction spaces and non-deterministic environments. Automation in testing can provide a vital boost in development and it further improves the overall software's reliability and efficiency. Moreover, layout and game logic may regularly change during development or consecutive releases which makes it difficult to test because the usage of the system continuously changes. To deal with the latter, tests also need to be robust. Unfortunately, existing game testing approaches are not capable of maintaining test robustness. To address these challenges, this paper presents an agent-based approach for robust automated testing based on the reasoning type of AI. CCS CONCEPTS• Software and its engineering → Software testing and debugging; Interactive games.

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“…Many algorithms have been proposed to extract content using the DOM tree. For example, in the method proposed in the research of Elyasov A [18], the DOM of the page is analyzed as an input to propose a testing framework of Javascript evolutionary. In the method proposed by Pagi V B [19], by using the embedded semantic tree kernel they can extract opinion content from web pages.…”

Section: Related Workmentioning

confidence: 99%

Research on Page Object Generation Approach for Web Application Testing

Chen¹,

Li²,

Zhao³

et al. 2019

International Conferences on Software Engineering and Knowledge Engineering

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Test code generated by using the page object design pattern during web testing is easy to maintain. Page clustering is an essential stage of the page object approach. However, existing methods only consider the DOM structure in page clustering, which leads to inaccuracy when generating page objects. A state with the same DOM structure may result in an entirely different migration. The method of considering only the DOM structure cannot accurately generate page object classes. In order to improve the accuracy of page object generation, this paper not only considers DOM structure information but also considers CSS styles and the attributes of DOM elements in page clustering. Based on the experimental evaluation results, our method can automatically generate page objects that cover most of the application functions, which is more effective for the creation and maintenance of web test cases.

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Search-Based Test Data Generation for JavaScript Functions that Interact with the DOM

Cited by 7 publications

References 49 publications

JavaScript Instrumentation for Search-Based Software Testing: A Study with RESTful APIs

JavaScript Instrumentation for Search-Based Software Testing: A Study with RESTful APIs

Using an agent-based approach for robust automated testing of computer games

Research on Page Object Generation Approach for Web Application Testing

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