Automatic Generation of Test Cases and Test Purposes from Natural Language

Nogueira, Sidney C.; Araujo, Hugo; Araújo, Renata Bernardo; Iyoda, Juliano; Sampaio, Augusto

doi:10.1007/978-3-319-29473-5_9

Cited by 2 publications

(1 citation statement)

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“…There are three of them: traces, failures and failuresdivergences [17]. In this paper we just need to use the traces semantic model, which is computationally simpler and it is the directly related to testing ( [18] and [19]).…”

Section: Csp M and Fdrmentioning

confidence: 99%

An automated Android exploratory testing based on code evolution coverage

Oliveira,

Mota,

Reis

2024

Preprint

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Testers face challenges to have their test suites up-to-update related to the application source code evolution to be tested. These challenges are greater in a global distributed software development context. The growing daily testing demand also makes difficult the maintenance of such suites. These test suites are also continuously automated to save the time of human testers, but they require maintenance as well. Exploratory testing comes as a trade-off between test case maintenance and human expertise and flexibility. Unfortunately, it is a manual task in general. In this work, we specifically designed a strategy called AETing, which automatically performs screen navigations and Monkey testing aiming to maximize coverage of code changes evolution between two versions of a given Android application. We developed and evaluated our approach in a real testing operation environment related to Motorola Mobility, through an agreement between CIn-UFPE and this company supported by the Informatics Law. The evaluation consisted of testing four different Motorola Android applications. Through the evaluation, we obtained promising results concerning the comparison between AETing and expert exploratory testers’ code coverage. We discuss in detail how AETing works and the results achieved.

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Section: Csp M and Fdrmentioning

confidence: 99%