SelectNLTest - Selection and natural language rewriting of test cases generated by the DRL-MOBTEST tool

Author:

Marques João Paulo1ORCID,Lima Mônica2ORCID,Souza Bruno2ORCID,Miranda Eloise2ORCID,Santos André2ORCID,Collins Eliane3ORCID

Affiliation:

1. Instituto de Desenvolvimento Tecnológico, Brazil and Universidade Federal do Amazonas, Brazil

2. Universidade Federal do Amazonas, Brazil

3. Instituto de Desenvolvimento Tecnológico, Brazil

Publisher

ACM

Reference29 articles.

1. SO/IEC/IEEE 29119-1:2022(en). 2023. Software and systems engineering — Software testing — Part 1: General concepts. https://www.iso.org/obp/ui/fr/iso:std:iso-iec-ieee:29119:-1:ed-2:v1:en. SO/IEC/IEEE 29119-1:2022(en). 2023. Software and systems engineering — Software testing — Part 1: General concepts. https://www.iso.org/obp/ui/fr/iso:std:iso-iec-ieee:29119:-1:ed-2:v1:en.

2. Evolving Readable String Test Inputs Using a Natural Language Model to Reduce Human Oracle Cost

3. A comprehensive investigation of natural language processing techniques and tools to generate automated test cases

4. Few-shot remote sensing image scene classification based on multiscale covariance metric network (MCMNet)

5. Strategies for Agile Software Testing Automation: An Industrial Experience

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evaluation of Automatic Test Case Generation for the Android Operating System using Deep Reinforcement Learning;Proceedings of the XXII Brazilian Symposium on Software Quality;2023-11-07

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