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JaMaBuild: Mass Building of Java Projects

Published:22 October 2023Publication History

ABSTRACT

Many large-scale Java empirical studies require not only source code but also resulting binaries such as JAR files. Pre-compiled datasets quickly become obsolete, and the creation of a custom corpus for every study is tedious. We present a prototype of JaMaBuild, a tool and a framework for mass building of Java projects from source. Given a list of projects and optional settings, it downloads the projects, filters them by user-definable criteria, builds them using Maven or Gradle, and collects outputs such as JAR files and build logs. Our tool can also be used for local build breakage studies.

References

  1. Jens Dietrich, Henrik Schole, Li Sui, and Ewan Tempero. 2017. XCorpus–an executable corpus of Java programs. J. Obj. Tech., 16, 4 (2017), 1:1–24. Google ScholarGoogle Scholar
  2. Pedro Martins, Rohan Achar, and Cristina V. Lopes. 2018. 50K-C: A Dataset of Compilable, and Compiled, Java Projects. In Proceedings of MSR 2018. ACM, 1–5. isbn:978-1-4503-5716-6 https://doi.org/10.1145/3196398.3196450 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Jens Palsberg and Cristina V. Lopes. 2018. NJR: A Normalized Java Resource. In Companion Proceedings for the ISSTA/ECOOP 2018 Workshops. ACM, 100–106. isbn:978-1-4503-5939-9 https://doi.org/10.1145/3236454.3236501 Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Ricardo Terra, Luis Fernando Miranda, Marco Tulio Valente, and Roberto S. Bigonha. 2013. Qualitas.class Corpus: A Compiled Version of the Qualitas Corpus. SIGSOFT Softw. Eng. Notes, 38, 5 (2013), 1–4. issn:0163-5948 https://doi.org/10.1145/2507288.2507314 Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Conferences
          SPLASH 2023: Companion Proceedings of the 2023 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity
          October 2023
          71 pages
          ISBN:9798400703843
          DOI:10.1145/3618305

          Copyright © 2023 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 22 October 2023

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