Search Results - "Special Issue on Software Testing in the Machine Learning Era"

Software testing in the machine learning era

Authors: Stocco, Andrea Shehory, Onn Jahangirova, Gunel et al.

Subject Terms: Article, Special Issue on Software Testing in the Machine Learning Era, Software Engineering/Programming and Operating Systems, Programming Languages, Compilers, Interpreters, ddc

File Description: application/pdf

Access URL: https://mediatum.ub.tum.de/1763639

Bugs in machine learning-based systems: a faultload benchmark.

Authors: Morovati, Mohammad Mehdi Nikanjam, Amin Khomh, Foutse et al.

Source: Empirical Software Engineering; Jun2023, Vol. 28 Issue 3, p1-33, 33p

Towards understanding quality challenges of the federated learning for neural networks: a first look from the lens of robustness.

Authors: Abyane, Amin Eslami Zhu, Derui Souza, Roberto et al.

Source: Empirical Software Engineering; Mar2023, Vol. 28 Issue 2, p1-39, 39p

DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment.

Authors: Yahmed, Ahmed Haj Braiek, Houssem Ben Khomh, Foutse et al.

Source: Empirical Software Engineering; Dec2022, Vol. 27 Issue 7, p1-41, 41p

A controlled experiment of different code representations for learning-based program repair.

Authors: Namavar, Marjane Nashid, Noor Mesbah, Ali

Source: Empirical Software Engineering; Dec2022, Vol. 27 Issue 7, p1-39, 39p