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What are the potential benefits of software-based self-tests with AI? 


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Software-based self-tests with AI offer several potential benefits. Firstly, AI can provide more accurate results and save time in software testing, leading to better quality assurance and reducing time to market . Secondly, AI can automate routine tasks in software development and testing, such as debugging and documentation, increasing productivity and reducing expenses . Additionally, AI can analyze large amounts of data to discover patterns and novel information clusters, enabling structured analysis of big data pools . Furthermore, AI can utilize neural networks to systematically evaluate data, enhancing the effectiveness of self-tests . Overall, software-based self-tests with AI have the potential to improve the efficiency and effectiveness of software testing, shorten development cycles, and reduce costs.

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Papers (5)Insight
Proceedings ArticleDOI
09 Apr 2019
19 Citations
The potential benefits of software-based self-tests with AI include shorter software development life cycles, reduced time to market, and greater innovation and agility in the software testing industry.
The potential benefits of software-based self-tests with AI include shortening the development cycle, reducing expenses, and increasing productivity.
Patent
Roi Saltzman, Ory Segal 
04 Sep 2012
6 Citations
The provided paper does not mention AI or the potential benefits of software-based self-tests with AI.
The provided paper does not mention anything about the potential benefits of software-based self-tests with AI.
Book ChapterDOI
Jiun-Lang Huang, Kwang-Ting (Tim) 
01 Jan 2008
3 Citations
The provided paper does not mention anything about the potential benefits of software-based self-tests with AI.

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