Topics of interest include (but are not limited to) the following A Testing AI applications, include (1) Methodologies for testing, verification and validation of AI applications, (2) Techniques for testing AI applications, (3) Tools and environment for automated and semi automated software testing AI applications for various testing activities and management of testing resources, (4) Specific concerns of software testing with various specific types of AI technologies, such as machine learning and data mining, genetic algorithms, multi agent systems, automatic reasoning and theorem proving, etc (5) Specific concerns of software testing for various types of AI applications B Applications of AI techniques to software testing, include (1) Machine learning applications to software testing, such as test case generation, test effectiveness prediction and optimization, test adequacy improvement, test cost reduction, etc C Data quality checking for AI applications

This volume represents the 20th International Conference on Information Technology - New Generations (ITNG), 2023. ITNG is an annual event focusing on state of the art technologies pertaining to digital information and communications. The applications of advanced information technology to such domains as astronomy, biology, education, geosciences, security, and health care are the among topics of relevance to ITNG. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and tools that help the information readily flow to the user are of special interest. Machine Learning, Robotics, High Performance Computing, and Innovative Methods of Computing are examples of related topics. The conference features keynote speakers, a best student award, poster award, service award, a technical open panel, and workshops/exhibits from industry, government and academia. This publication is unique as it captures modern trends in IT with a balance of theoretical and experimental work. Most other work focus either on theoretical or experimental, but not both. Accordingly, we do not know of any competitive literature.

Intelligent Software and System Quality Testing Models, Methods, Quality Assurance Standards and Evaluation Criteria, as well as Test Automation Tools and Platforms

Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.

Topics of interest include (but are not limited to) the following A Testing AI applications, include (1) Methodologies for testing, verification and validation of AI applications, (2) Techniques for testing AI applications, (3) Tools and environment for automated and semi automated software testing AI applications for various testing activities and management of testing resources, (4) Specific concerns of software testing with various specific types of AI technologies, such as machine learning and data mining, genetic algorithms, multi agent systems, automatic reasoning and theorem proving, etc (5) Specific concerns of software testing for various types of AI applications B Applications of AI techniques to software testing, include (1) Machine learning applications to software testing, such as test case generation, test effectiveness prediction and optimization, test adequacy improvement, test cost reduction, etc C Data quality checking for AI applications