Tenders Are Invited For Gt1i-618Gd Ai For Automation Of Mission Operations Systems Testing And Validation

Tenders are invited for GT1I-618GD AI for Automation of Mission Operations Systems Testing and Validation Artificial intelligence (AI) has proven its value in multiple applications, especially in thoserelated to automation. The Artificial Intelligence for Automation (A2I) Roadmap identifies aset of use cases where AI should be used to support automation of mission operations.This activity will focus on three different use cases related to systems testing and validationthat will leverage supervised and unsupervised learning, natural language processing(NLP), Large Language Models (LLMs), active and continual learning to build accurate andexplainable software solutions. Specifically, these are: Deviation analysis in validation and regression testingoutputs. Currently,investigating system failures is very time consuming and it requires great expertiseand research in past logs and supplier documents across multiple systems to findroot causes. In the future, if an issue occurs, an AI system could efficientlyexamineaggregated logging and monitoring information to help detect similar issues thatoccurred in the past as well as potentialsolutions. By using data sciencetechniques many logs can be analysed efficiently to identify items which most likelyexplain the root-cause of the issue. This will decrease the amount of time neededfor the root-cause analysis of the problem and ensure isolationofan error in asystem of systems becomes more efficient. AI-supported test case creation. Adapting to new systems requires a high manualeffort. As systems are complex, numerous tests are required to validate the correctfunctioning. Especially regression tests require a high manual effort and are thuscost intensive. An AI solution can support experts by automating the creation oftest cases for ground segment software applications. The AI system couldautomatically generate a large amount of reliable test cases thatarecustomizedto the system and constraints. These test cases can then be used for validating theviability of the solution. Automated test report generation. High manual effort is required during thesystems testing and validations phase to generate test reports and analyze themto decide on next actions to be performed, as test reports are typically writtenmanually. The use case aims atdeveloping an AI-based system to change theprocess by aggregating all relevant data, by using for instance NLP techniqueswith transferlearning to automatically generate the content of the test reports andLLM with Retrieval-Augmented Generation.Read more Tender Link : https://esastar-publication-ext.sso.esa.int/ESATenderActions/filter/open

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