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arxiv: 1712.01024 · v1 · pith:2Y3A36EQnew · submitted 2017-12-04 · 💻 cs.SE · cs.PL

A Quantitative Study of Java Software Buildability

classification 💻 cs.SE cs.PL
keywords buildjavasoftwaresourceaffectinganalysisanecdotalarchives
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Researchers, students and practitioners often encounter a situation when the build process of a third-party software system fails. In this paper, we aim to confirm this observation present mainly as anecdotal evidence so far. Using a virtual environment simulating a programmer's one, we try to fully automatically build target archives from the source code of over 7,200 open source Java projects. We found that more than 38% of builds ended in failure. Build log analysis reveals the largest portion of errors are dependency-related. We also conduct an association study of factors affecting build success.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. State-Of-The-Practice in Quality Assurance in Java-Based Open Source Software Development

    cs.SE 2023-06 unverdicted novelty 6.0

    Empirical study of 1,454 Java OSS projects finds weak correlations among quality assurance practices and greater intensity in mature projects for ASAT and code review but not CI.