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ICST 2022
Mon 4 - Fri 8 April 2022

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.

Contact Info

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Mon 4 Apr

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09:00 - 09:05
AIST OpeningAIST at Margaret Hamilton
Chair(s): Alexandra Mendes Faculty of Engineering, University of Porto & INESC TEC
09:00
5m
Day 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
60m
Keynote
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
20m
Talk
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
AIST IIAIST at Margaret Hamilton
Chair(s): Mark Micallef University of Malta
10:45
30m
Talk
TCP-Net: Test Case Prioritization using End-to-End Deep Neural Networks
AIST
Reem Eladawi Siemens EDA, Mohamed Abdelkarim Siemens EDA
11:15
30m
Talk
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
AIST IIIAIST at Margaret Hamilton
Chair(s): Mohit Kumar Ahuja Simula Research Laboratory
11:55
30m
Talk
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
20m
Talk
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
5m
Day closing
Closing
AIST

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.

Contact Info

Workshop Url

Questions? Use the AIST contact form.