All information about this workshop can also be found at the workshop’s official website: http://gist.nju.edu.cn/iwct2021/
Combinatorial Testing (CT) is a widely applicable generic methodology and technology for software verification and validation. In a combinatorial test plan, all interactions between parameters up to a certain level are covered. Studies show that CT can significantly reduce the number of test cases while remaining very effective for fault detection. This workshop aims to bring together researchers, developers, users, and practitioners to discuss and exchange ideas and experiences in the development and application of CT methods, techniques, and tools. We invite submissions of high-quality papers presenting original work on both theoretical and practical aspects of combinatorial testing.
In this workshop, we plan to bring together researchers actively working on combinatorial testing, and create a productive and creative environment for sharing and collaboration. Since this workshop was the first venue dedicated to CT, yet there are many researchers working in the field, we expect, like in previous years, to see high responsiveness to take part in the workshop. Researchers attending the workshop will have an opportunity to publish their work in a dedicated venue, create new collaborations and take active part in the growing community of researchers working in the field.
The workshop will also be a meeting place between academia and industry, thus uniting academic excellence and industrial experience and needs. This will allow participants from academia to learn about the industrial experience in practical application of CT to real-life testing problems, and together with the colleagues from industry identify obstacles for future research. Industrial participants will have an opportunity to meet the leading scientists in the field, and hear about the latest advances and innovations.
Mon 12 AprDisplayed time zone: Brasilia, Distrito Federal, Brazil change
09:00 - 09:15
|Welcome and Opening Message|
Dimitris Simos SBA Research
09:15 - 10:15
|A Combinatorial Approach to Explaining Image Classifiers|
|Combinatorial Testing Metrics for Machine Learning|
|Computing Sequence Covering Arrays using Unified Combinatorial Interaction Testing|
10:45 - 11:45
|A Combinatorial Approach to Testing Deep Neural Network-based Autonomous Driving Systems|
|SYSMODIS: A Systematic Model Discovery Approach|
12:45 - 14:00
|A Practical Method for API Testing in the Context of Continuous Delivery and Behavior Driven Development|
|An environment for benchmarking combinatorial test suite generators|
Andrea Bombarda University of Bergamo, Edoardo Crippa University of Bergamo, Angelo Gargantini University of BergamoPre-print
|Combinatorially XSSing Web Application Firewalls|
Not scheduled yet
|Not scheduled yet|
|IWCT Organizing and Steering Committee Meeting|
Call for Papers
The call for papers for IWCT 2021 can be found also at: http://gist.nju.edu.cn/iwct2021/
Full and Short Papers: We invite submissions of high-quality papers presenting original work on both theoretical and practical aspects of combinatorial testing. We accept both full papers (up to 10 pages) and short papers (up to 4 pages).
Poster Session: We will also have a poster session, for authors to present their work in an informal and interactive setting. We encourage submissions presenting research work in progress or important conclusions from practical experience.
In particular, we welcome posters focusing on
- experience reports from integration of CT by industrial organizations
- lessons learned from using CT tools in industrial applications
An extended abstract of the poster (up to 2 pages) should be submitted for review by the submission deadline. Accepted poster abstracts will be included in the proceedings.
- Accepted (full and short) papers as well as extended abstracts will be published in the IEEE Digital Library.
- This edition of IWCT will feature two best paper awards in the categories of “best foundation/modeling paper” and “best CT application paper”.
Topics of interest for full and short papers include, but are not limited to:
- Modeling the input space for CT
- Efficient algorithms to generate t-way test suites, especially involving support of constraints
- Determination of expected system behavior for each test case
- Executing CT test suites
- Combinatorial testing based fault localization
- Implementation of CT with existing testing infrastructures
- Handling changes in test requirements
- Empirical studies and feedback from practical applications of CT
- Evaluation and return of investment metrics to assess the degree of usefulness of CT
- Methodology used for test space modeling and determination of interaction coverage requirements
- Discussion of challenges and open problems in the application of CT in industrial settings
- Comparison and combination of CT with other dynamic verification methods
- Investigation of historical records of failures to determine the kind of CT which may have detected faults
- Combinatorial testing for concurrent and real-time systems
- CT for testing cloud computing systems and use of combinatorial methods in cloud architecture
- Application of CT in other domains, e.g. information security, study of gene regulation and other biotechnology applications, mechanical engineering, etc.
- Combinatorial testing of variability models for software product lines
- Combinatorial analysis of existing test suites
- Test plan reduction and completeness
- CT and coverage metrics – combining the two, and studying the relationship between them