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Filtering by: Creator Abbott, Mark R. Remove constraint Creator: Abbott, Mark R. Degree Field Computer Science Remove constraint Degree Field: Computer Science Commencement Year Unknown Remove constraint Commencement Year: Unknown

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  • Understanding Software-2.0: A Study of Machine Learning library usage and evolution

    Creator:
    Dilhara, Malinda, Ketkar, Ameya, and Dig, Danny
    Abstract:
    Enabled by a rich ecosystem of Machine Learning (ML) libraries, programming using learned models, i.e., Software-2.0, has gained substantial adoption. However, we do not know what challenges developers encounter when they use ML libraries. With this knowledge gap, researchers miss opportunities to contribute to new research directions, tool builders do...
    Resource Type:
    Research Paper
    Full Text:
    by first and third quartiles and the central mark indicates the median. Anything outside 1.5 × IQR

  • The Evolution of Software Entropy in Open Source projects: An Empirical Study

    Creator:
    Mannan, Umme Ayda
    Abstract:
    Software entropy impacts the overall quality of software systems. High entropy hinders developers from understanding the purpose of a piece of code and can cause developers to make sub-optimal changes and introduce bugs. Researchers have used entropy scores to measure the naturalness of code. However, thus far, no one has...
    Resource Type:
    Technical Report
    Full Text:
    Engineering 17, 4-5 (2012), 531–577. [12] Mark Gabel and Zhendong Su. 2010. A study of the uniqueness of