Towards Autonomous Testing Agents via Conversational Large Language Models

Software testing is an important part of the development cycle, yet it requires specialized expertise and substantial developer effort to adequately test software. Recent discoveries of the capabilities of large language models (LLMs) suggest that they can be used as automated testing assistants, an...

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Veröffentlicht in:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] S. 1688 - 1693
Hauptverfasser:	Feldt, Robert, Kang, Sungmin, Yoon, Juyeon, Yoo, Shin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 11.09.2023
Schlagworte:	artificial intelligence Automation Drives large language model machine learning Middleware Oral communication Software testing Taxonomy test automation Testing
ISSN:	2643-1572
Online-Zugang:	Volltext
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