AI-Based Software Testing
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8346-9_28
Reference15 articles.
1. Battina DS (2019) Artificial intelligence in software test automation: a systematic literature review. Int J Emerg Technol Innov Res (www.jetir.org|UGC and ISSN Approved). ISSN (2019):2349-5162
2. Ahmad K et al (2023) Requirements engineering for artificial intelligence systems: a systematic mapping study. Inform Softw Technology (2023):107176
3. Hourani H, Hammad A, Lafi M (2019)The impact of artificial intelligence on software testing. In: 2019 IEEE Jordan International joint conference on electrical engineering and information technology (JEEIT). IEEE
4. Tosun A, Bener A, Kale R (2010) AI-based software defect predictors: applications and benefits in a case study. In: Proceedings of the AAAI conference on artificial intelligence, vol 24(2)
5. Pandit M et al (2022) Towards design and feasibility analysis of DePaaS: AI based global unified software defect prediction framework. Appl Sci 12(1):493
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