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    Article

    An empirical study of challenges in machine learning asset management

    In machine learning (ML) applications, assets include not only the ML models themselves, but also the datasets, algorithms, and deployment tools that are essential in the development, training, and implementat...

    Zhimin Zhao, Yihao Chen, Abdul Ali Bangash, Bram Adams… in Empirical Software Engineering (2024)

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    Article

    On the time-based conclusion stability of cross-project defect prediction models

    Researchers in empirical software engineering often make claims based on observable data such as defect reports. Unfortunately, in many cases, these claims are generalized beyond the data sets that have been e...

    Abdul Ali Bangash, Hareem Sahar, Abram Hindle, Karim Ali in Empirical Software Engineering (2020)