Exploring LLMs for generating synthetic test data

Organisatsiooni nimi
Software Engineering Analytics
Kokkuvõte
Testing in a production-like environment is a crucial part of software quality assurance. However, many public sector organizations are not allowed to use actual production data for testing due to privacy concerns. One alternative is to use synthetically generated data that is rich enough to simulate a wide range of user scenarios. This thesis explores the potential of various LLM-based techniques for generating synthetic test data for a System Under Test (SUT) and evaluates the quality and effectiveness of the generated data for testing purposes. The specific SUT can be selected in consultation with the interested student.
Lõputöö kaitsmise aasta
2024-2025
Juhendaja
Faiz Ali Shah
Suhtlemiskeel(ed)
inglise keel
Nõuded kandideerijale
Tase
Magister
Märksõnad
#SEA #TEST_DATA_GENERATION #LLMs

Kandideerimise kontakt

 
Nimi
Faiz Ali Shah
Tel
E-mail
faiz.ali.shah@ut.ee