Introduction to Lunch Seminar Improving Machine Learning Based Test Case Selection

Let's dive into the details surrounding Lunch Seminar Improving Machine Learning Based Test Case Selection. This week, our doctoral candidate Khaled Al-Sabbagh will present his research about noise

Lunch Seminar Improving Machine Learning Based Test Case Selection Comprehensive Overview

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4th February 2021 Research Progress Presenter: Muhammad Khatibsyarbini Topic: Toward Effective String

Summary & Highlights for Lunch Seminar Improving Machine Learning Based Test Case Selection

  • Ruotong Liao is a PhD student at LMU Munich and the Munich Center for
  • Automatic unit test generation that explores the input space and produces effective
  • This talks of application of AI and Artificial Intelligence in area of testing primarily area of
  • Student team: Aicha Moussaid, Ricardo Chávez, Saad Waseem, Zahid Hasan. You can download the corresponding poster of the ...
  • Jonas Hübotter from ETH presents SIFT (

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