Workshop Url
Artificial Intelligence in Software Testing
The application of AI techniques in software testing is in its early stages. In the last few years, software industry and practitioners increasingly adopted novel techniques to ease the software 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 more efficient tests and increased automation, which ultimately leads to a reduction in testing costs and in the production of improved software. The AIST workshop aims to gather researchers and industry practitioners to present, discuss, and foster collaboration on novel and up-to-date R&D focused on the application of AI in software testing coined by the multiplicity of perspectives and different topics observed under the AI umbrella.
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Mon 4 AprDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
09:00 - 09:05 | AIST OpeningAIST at Margaret Hamilton Chair(s): Alexandra Mendes Faculty of Engineering, University of Porto & INESC TEC | ||
09:00 5mDay opening | Welcome AIST | ||
09:05 - 10:05 | AIST KeynoteAIST at Margaret Hamilton Chair(s): Alexandra Mendes Faculty of Engineering, University of Porto & INESC TEC | ||
09:05 60mKeynote | Sequence to sequence learning for software testing AIST Martin Monperrus KTH Royal Institute of Technology | ||
10:05 - 10:25 | AIST IAIST at Margaret Hamilton Chair(s): Alexandra Mendes Faculty of Engineering, University of Porto & INESC TEC | ||
10:05 20mTalk | A Preliminary Study on Generating Well-Formed Q# Quantum Programs for Fuzz Testing AIST Miguel Trinca INESC-ID & Instituto Superior Técnico, University of Lisbon, João F. Ferreira INESC-ID and IST, University of Lisbon, Rui Abreu Faculty of Engineering, University of Porto, Portugal | ||
10:45 - 11:45 | |||
10:45 30mTalk | TCP-Net: Test Case Prioritization using End-to-End Deep Neural Networks AIST | ||
11:15 30mTalk | Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques AIST Mohit Kumar Ahuja Simula Research Laboratory, Arnaud Gotlieb Simula Research Laboratory, Helge Spieker Simula Research Laboratory, Norway Pre-print | ||
11:55 - 12:45 | |||
11:55 30mTalk | Clustering of Usage Traces for Regression Test Cases Selection AIST Vahana Dorcis University of Burgundy Franche-Comte - FEMTO-ST, Fabrice Bouquet University of Bourgogne Franche-Comté, Frédéric Dadeau Univ. Bourgogne Franche-Comté FEMTO-ST Institute/DISC, CNRS, Besançon | ||
12:25 20mTalk | Towards Domain-Specific Exploratory Testing via Behavioural Cloning AIST Cristina Gatt University of Malta, Mark Micallef University of Malta, Mark Bugeja University of Malta | ||
12:45 - 12:50 | AIST ClosingAIST at Margaret Hamilton Chair(s): Alexandra Mendes Faculty of Engineering, University of Porto & INESC TEC | ||
12:45 5mDay closing | Closing AIST | ||
Accepted Papers
Call for Papers
We invite novel papers from 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, preliminary results, position statements, and open challenges.
Papers must conform to the two-column IEEE conference publication format and should be submitted via EasyChair in the following link: https://easychair.org/my/conference?conf=aist22#
All submissions must be original, unpublished, and not submitted for publication elsewhere. For all accepted papers, at least one author must register in the workshop and present the paper. AIST will be held online.
Papers presented at AIST will be published through the IEEE digital library.
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Workshop Url
| Mon 4 Apr 2022 Workshop Date |
| Thu 24 Feb 2022 Camera-ready Submission |
| Thu 17 Feb 2022 Author Notification |
| Thu 27 Jan 2022 Paper Submission |
| Thu 20 Jan 2022 Abstract Submission |
Rui Abreu
Faculty of Engineering, University of Porto, Portugal
Portugal
Aldeida Aleti
Monash University
Australia
Daniela Cruzes
Norwegian University of Science and Technology
João F. Ferreira
INESC-ID and IST, University of Lisbon
Portugal
Gregory Gay
Chalmers and the University of Gothenburg
Sweden
Sérgio Guerreiro
IST, University of Lisbon, Portugal
Wolfgang Mayer
University of South Australia
Mihai Nica
Nuno Pombo
Universidade da Beira Interior
Portugal
Wishnu Prasetya
Utrecht University
Helge Spieker
Simula Research Laboratory, Norway
Norway
Roni Stern
Ben-Gurion University of the Negev
Israel
Franz Wotawa
Graz University of Technology
Austria