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  • Open Access


    Code Reviewer Intelligent Prediction in Open Source Industrial Software Project

    Zhifang Liao1, Bolin Zhang1, Xuechun Huang1, Song Yu1,*, Yan Zhang2

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 687-704, 2023, DOI:10.32604/cmes.2023.027466

    Abstract Currently, open-source software is gradually being integrated into industrial software, while industry protocols in industrial software are also gradually transferred to open-source community development. Industrial protocol standardization organizations are confronted with fragmented and numerous code PR (Pull Request) and informal proposals, and different workflows will lead to increased operating costs. The open-source community maintenance team needs software that is more intelligent to guide the identification and classification of these issues. To solve the above problems, this paper proposes a PR review prediction model based on multi-dimensional features. We extract 43 features of PR and divide them into five dimensions: contributor,… More >

  • Open Access


    Modeling and Analysis of Leftover Issues and Release Time Planning in Multi-Release Open Source Software Using Entropy Based Measure

    Meera Sharma1, H. Pham2, V.B. Singh3

    Computer Systems Science and Engineering, Vol.34, No.1, pp. 33-46, 2019, DOI:10.32604/csse.2019.34.033

    Abstract In Open Source Software (OSS), users report different issues on issues tracking systems. Due to time constraint, it is not possible for developers to resolve all the issues in the current release. The leftover issues which are not addressed in the current release are added in the next release issue content. Fixing of issues result in code changes that can be quantified with a measure known as complexity of code changes or entropy. We have developed a 2-dimensional entropy based mathematical model to determine the leftover issues of different releases of five Apache open source products. A model for release… More >

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