Natural Language Processing-Based Software Testing: A Systematic Literature Review

New approaches to software testing are required due to the rising complexity of today’s software applications and the rapid growth of software engineering practices. Among these methods, one that has shown promise is the introduction of Natural Language Processing (NLP) tools to software test...

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Auteurs principaux:	Mohamed Boukhlif, Mohamed Hanine, Nassim Kharmoum, Atenea Ruigomez Noriega, David Garcia Obeso, Imran Ashraf
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2024-01-01
Collection:	IEEE Access
Sujets:	Software testing natural language processing (NLP) systematic review test case generation
Accès en ligne:	https://ieeexplore.ieee.org/document/10542730/
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