Feb. 20 2019:
On Feb. 15th, the Program Committee has selected 18 8-pages papers and 9 2-pages papers to be included into the program of AITesting 2019. The list of accepted papers will published soon.
Jan. 21 2019:
A link has been added for Industry Summit 2019
Dec. 27 2018:
We have received a record number of submissions with respect to our assumption for this first edition of the Conference. Thanks to the authors for your hard work!
Dec. 26 2018:
Registration is now open
Dec. 7 2018:
The abstract submission deadline has been extended by one week Dec. 14 2018
Nov. 19 2018:
Inclusion of 4 special tracks (under "Special Tracks"), organized by technical leaders on highly relevant topics, to the AI Testing 2019 Conference Visit Special Tracks
Nov. 6 2018:
Warning - Please, pay attention to the change of dates of the Conference: 4-9 April
Oct. 12 2018:
AITest 2019 conference is formally approved by IEEE to be an IEEE sponsored international conference.
The First IEEE International Conference on Artificial Intelligence Testing
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. However, 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 application of AI techniques to software testing. It is, therefore, timely to provide 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. This is the aim of the IEEE conference on AI Testing.
Submit Paper to AI TestingSUBMIT PAPER
Special Tracks proposals:
Nov. 15, 2018
Dec. 7, 2018
Dec. 14, 2018
Full paper submission:
Dec. 21, 2018 23:59 AOE (firm)
Feb. 15, 2019 (firm)
Final Paper and Registration:
Feb. 28, 2019 (firm)
Apr 4 - 9, 2019