ICST 2023
Sun 16 - Thu 20 April 2023 Dublin, Ireland
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The application of AI techniques in software testing is in its early stages. In the last few years, software developers have increasingly adopted novel techniques to ease the development cycle, namely the testing phase, by means of autonomous testing and/or optimization of repetitive and tedious activities.

AI can transform software testing by supporting efficient testing activities and increasing automation, which ultimately leads to a reduction in testing costs and improvements in software quality. The AIST workshop aims to gather researchers and practitioners to present, discuss, and foster collaboration on novel and up-to-date R&D focused on the application of AI in software testing, with an inclusive view of the many perspectives and topics under the AI umbrella.

For more information, see https://aistworkshop.github.io/

Call for Papers

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Theme and Goals

The application of AI techniques in software testing is in its early stages. In the last few years, software developers have increasingly adopted novel techniques to ease the development cycle, namely the testing phase, by means of autonomous testing and/or optimization of repetitive and tedious activities.

AI can transform software testing by supporting efficient testing activities and increasing automation, which ultimately leads to a reduction in testing costs and improvements in software quality. The AIST workshop aims to gather researchers and practitioners to present, discuss, and foster collaboration on novel and up-to-date R&D focused on the application of AI in software testing, with an inclusive view of the many perspectives and topics under the AI umbrella.

Call for Papers

We invite novel papers from both academia and industry on AI applied to software testing that cover, but are not limited to, the following aspects:

  • AI for test case design, test generation, test prioritization, and test reduction.
  • AI for load testing and performance testing.
  • AI for monitoring running systems or optimizing those systems.
  • Explainable AI for software testing.
  • Case studies, experience reports, benchmarking, and best practices.
  • New ideas, emerging results, and position papers.
  • Industrial case studies with lessons learned or practical guidelines.

Papers can be of one of the following types:

  • Full Papers (max. 8 pages): Papers presenting mature research results or industrial practices.
  • Short Papers (max. 4 pages): Papers presenting new ideas or preliminary results.
  • Tool Papers (max. 4 pages): Papers presenting an AI-enabled testing tool. Tool papers should communicate the purpose and use cases for the tool. The tool should be made available (either free to download or for purchase).
  • Position Papers (max. 2 pages): Position statements and open challenges, intended to spark discussion or debate.

The reviewing process is single blind. Therefore, papers do not need to be anonymized. Papers must conform to the two-column IEEE conference publication format and should be submitted via EasyChair using the following link: (Link TBA)

All submissions must be original, unpublished, and not submitted for publication elsewhere. Submissions will be evaluated according to the relevance and originality of the work and on their ability to generate discussions between the participants of the workshop. Each submission will be reviewed by three reviewers, and all accepted papers will be published as part of the ICST proceedings. For all accepted papers, at least one author must register in the workshop and present the paper.

Important Dates

  • Submission deadline: 20 January 2022 AoE
  • Notification of Acceptance: 3 February 2022
  • Camera-ready: TBA

Additional Information

For more information, see https://aistworkshop.github.io/

Questions? Use the AIST contact form.