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What makes a good Node.js package? Investigating Users, Contributors, and Runnability.

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Irfan Kula

Marco Rauland

Uwe Rauland

Hartmut Kula

Murat Kulaksiz

 

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Micro process analysis of maintenance effort: an open source software case study using metrics based on program slicing., , , и . J. Softw. Evol. Process., 25 (9): 935-955 (2013)Why Visualize Data When Coding? Preliminary Categories for Coding in Jupyter Notebooks., , , , , и . APSEC, стр. 462-466. IEEE, (2022)Same File, Different Changes: The Potential of Meta-Maintenance on GitHub., , , и . ICSE, стр. 773-784. IEEE, (2021)Software Team Member Configurations: A Study of Team Effectiveness in Moodle., , , , , , , и . IWESEP, стр. 19-24. IEEE, (2019)Intertwining Communities: Exploring Libraries that Cross Software Ecosystems., , , и . MSR, стр. 518-522. IEEE, (2023)Experimental Study of Quantitative Analysis of Maintenance Effort Using Program Slicing-Based Metrics., , , и . APSEC Workshops, стр. 50-57. IEEE, (2012)VerXCombo: an interactive data visualization of popular library version combinations., , , и . ICPC, стр. 291-294. IEEE Computer Society, (2015)Who does what during a code review? datasets of OSS peer review repositories., , , , , и . MSR, стр. 49-52. IEEE Computer Society, (2013)Understanding the Role of Images on Stack Overflow., , , , , и . MSR, стр. 377-388. IEEE, (2023)Maintaining third-party libraries through domain-specific category recommendations., , , и . SoHeal@ICSE, стр. 2-9. ACM, (2018)