Anincreasing numberofinformationsystemsarebasedonmachinelearning(ML)orartificialintelligence (AI). In some cases, the systems are adapting their behaviour during operation based on the data being gathered. This introduces new challenges for verification, validation and software testing. The traditional way of testing the systems during the development and before the deployment does not suffice anymore. IVVES (Industrial-Grade Verification and Validation of Evolving Systems) project aims to address these challenges by researching and developing methods to test ML and AI solutions and evolving systems, and using AI and ML to improve and automate development and testing. We summarise the results of the project at a high level, and provide more details on the research and collaboration related to scriptless end-to-end testing through graphical user interface.
|Number of pages||8|
|Publication status||Published - 19 May 2022|
|Event||16th International Conference on Research Challenges in Information Science - Barcelona, Spain|
Duration: 17 May 2022 → 20 May 2022
|Conference||16th International Conference on Research Challenges in Information Science|
|Abbreviated title||RCIS 2022|
|Period||17/05/22 → 20/05/22|