Sep 15, 2020 · We conducted a systematic mapping study about testing techniques for MLSs driven by 33 research questions.
A systematic mapping study about testing techniques for MLSs driven by 33 research questions and investigated multiple aspects of the testing approaches, ...
We investigated multiple aspects of the testing approaches, such as the used/proposed adequacy criteria, the algorithms for test input generation, and the test ...
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We aim to conduct a systematic mapping in the area of testing ML programs. We identify, analyze and classify the existing literature to provide an overview ...
This study identifies, analyze and classify the existing literature to provide an overview of the area of testing ML programs, and identifies several ...
In this paper, we conduct a Systematic Mapping (SM) in the area of testing ML systems. An SM is a type of systematic review used to review, classify and ...
This study conducts a systematic literature review (SLR) of 40 pertinent studies spanning from 2018 to March 2024 to comprehensively analyze and classify ...
In this paper, we set out to review the state-of-the art of how ML has been explored to automate and streamline software testing.
This paper provides a perspective on what is needed to implement efficient and effective testing for an AI-enabled system based on a literature review and walk ...
Testing machine learning based systems: a systematic mapping. V Riccio, G Jahangirova, A Stocco, N Humbatova, M Weiss, P Tonella. Empirical Software Engineering ...