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
Mon 12 AprDisplayed time zone: Brasilia, Distrito Federal, Brazil change
09:30 - 09:40 | Welcome and Opening MessageAIST at Muro Alto Chair(s): Alexandra Mendes HASLab/INESC TEC & Universidade da Beira Interior | ||
09:30 10mDay opening | Welcome and Opening Message AIST | ||
09:40 - 10:40 | Keynote TalkAIST at Muro Alto Chair(s): Alexandra Mendes HASLab/INESC TEC & Universidade da Beira Interior | ||
09:40 60mKeynote | Learning How to Test - Generating Context-Infused Test Cases AIST | ||
11:00 - 12:20 | |||
11:00 30mPaper | Agents for Automated User Experience Testing AIST DOI Pre-print Media Attached | ||
11:30 30mPaper | DeepRace: A learning-based data race detector AIST | ||
12:00 20mPaper | An Agent-based Architecture for AI-Enhanced Automated Testing for XR Systems AIST Wishnu Prasetya Utrecht University, Samira Shirzadehhajimahmood , Saba Gholizadeh Ansari Utrecht University, Rui Prada Universidade de Lisboa, Pedro Fernandes Universidade de Lisboa Pre-print Media Attached | ||
13:30 - 14:50 | |||
13:30 30mPaper | Prioritized Test Generation Guided by SoftwareFault Prediction AIST | ||
14:00 30mPaper | Supervised Learning for Test Suit Selection in Continuous Integration AIST Ricardo Miguel Martins , Rui Abreu Faculty of Engineering, University of Porto, Portugal, João Pedro Nunes Nadkarni | ||
14:30 20mPaper | AutoKG - An Automotive Domain Knowledge Graph for Software Testing: A position paper AIST | ||
14:50 - 15:00 | ClosingAIST at Muro Alto Chair(s): Alexandra Mendes HASLab/INESC TEC & Universidade da Beira Interior | ||
14:50 10mDay closing | Closing AIST | ||
Accepted Papers & Keynote Speaker
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 using the following link: https://easychair.org/conferences/?conf=aist21
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
| Mon 12 Apr 2021 Workshop date |
| Sat 20 Feb 2021 Camera-ready |
| Tue 9 Feb 2021 Notification of Acceptance |
| Wed 20 Jan 2021 Submission Deadline |
Rui Abreu
Faculty of Engineering, University of Porto, Portugal
Portugal
João F. Ferreira
INESC-ID and IST, University of Lisbon
Portugal
Sérgio Guerreiro
IST, University of Lisbon, Portugal
Ia Mosashvili
Kutaisi International University
Georgia
Pengyu Nie
University of Texas at Austin
Roni Stern
Ben-Gurion University of the Negev
Israel
Franz Wotawa