{"id":129,"date":"2022-10-25T10:56:15","date_gmt":"2022-10-25T10:56:15","guid":{"rendered":"https:\/\/v2testsite3.hua.gr\/?page_id=129"},"modified":"2026-02-19T04:53:14","modified_gmt":"2026-02-19T04:53:14","slug":"home","status":"publish","type":"page","link":"https:\/\/cisose.fit.ac.jp\/aitest\/","title":{"rendered":"Home"},"content":{"rendered":"\t\t
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IEEE AITest 2026
The 8th IEEE International Conference on Artificial Intelligence Testing
July 27-30, 2026 | Fukuoka, Japan<\/h1>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/header>\n\t\t\t\t
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Scope<\/h5>\t\t\t\t<\/div>\n\t\t\t\t
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Artificial Intelligence (AI) technologies are widely used in computer applications to perform tasks such as monitoring, forecasting, recommending, prediction, and statistical reporting. They are deployed in a variety of systems, including driverless vehicles, robot-controlled warehouses, financial forecasting applications, and security enforcement and are increasingly integrated with cloud\/fog\/edge computing, big data analytics, robotics, Internet-of-Things, mobile computing, smart cities, smart homes, intelligent healthcare, etc. Despite this dramatic progress, the quality assurance of existing AI application development processes is still far from satisfactory and the demand for being able to show demonstrable levels of confidence in such systems is growing. Software testing is a fundamental, effective, and recognized quality assurance method which has shown its cost-effectiveness to ensure the reliability of many complex software systems. However, the adaptation of software testing to the peculiarities of AI applications remains largely unexplored and needs extensive research to be performed. On the other hand, the availability of AI technologies provides an exciting opportunity to improve existing software testing processes, and recent years have shown that machine learning, data mining, knowledge representation, constraint optimization, planning, scheduling, multi-agent systems, etc. have real potential to positively impact on software testing. Recent years have seen a rapid growth of interests in testing AI applications as well as the application of AI techniques to software testing. This conference provides an international forum for researchers and practitioners to exchange novel research results, to articulate the problems and challenges from practices, to deepen our understanding of the subject area with new theories, methodologies, techniques, processes models, etc., and to improve the practices with new tools and resources.<\/span><\/p>\n

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IEEE AITest 2026 conference is the eighth edition of a serious IEEE conference with focus on the synergy of AI and software testing. The first IEEE AITest conference took place in April 2019 at New York City, CA, USA. The second and third took place in August 2020 and 2021, respectively, both online due to the COVID-19 pandemic. The fourth took place in August 2022 in the San Francisco Bay Area. While the fifth took place in July 2023 at Athens, Greece; the sixth took place in July 2024 in Shanghai, China; the seventh took place in July in Tucson, USA. This years\u2019 conference is scheduled to take place in Fukuoka, Japan, from 27-30, July 2026.<\/strong> The conference is part of IEEE CISOSE 2026 congress.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Contact<\/h5>\t\t\t\t<\/div>\n\t\t\t\t
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