JTeC: A Large Collection of Java Test Classes for Test Code Analysis and Processing

Federico Corò; Roberto Verdecchia; Emilio Cruciani; Breno Miranda†; Antonia Bertolino

doi:10.1145/3379597.3387484

JTeC: A Large Collection of Java Test Classes for Test Code Analysis and Processing

Federico Corò, Roberto Verdecchia, Emilio Cruciani, Breno Miranda†, Antonia Bertolino

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

The recent push towards test automation and test-driven development continues to scale up the dimensions of test code that needs to be maintained, analysed, and processed side-by-side with production code. As a consequence, on the one side regression testing techniques, e.g., for test suite prioritization or test case selection, capable to handle such large-scale test suites become indispensable; on the other side, as test code exposes own characteristics, specific techniques for its analysis and refactoring are actively sought. We present JTeC, a large-scale dataset of test cases that researchers can use for benchmarking the above techniques or any other type of tool expressly targeting test code. JTeC collects more than 2.5M test classes belonging to 31K+ GitHub projects and summing up to more than 430 Million SLOCs of ready-to-use real-world test code.

Original language	English
Title of host publication	MSR 2020
Subtitle of host publication	Proceedings of the 17th International Conference on Mining Software Repositories
Publisher	Association for Computing Machinery, Inc
Pages	578-582
Number of pages	5
ISBN (Electronic)	9781450379571
DOIs	https://doi.org/10.1145/3379597.3387484
Publication status	Published - 29 Jun 2020
Event	17th IEEE/ACM International Conference on Mining Software Repositories, MSR 2020, co-located with the 42nd International Conference on Software Engineering. ICSE 2020 - Virtual, Online, Korea, Republic of Duration: 29 Jun 2020 → 30 Jun 2020

Conference

Conference	17th IEEE/ACM International Conference on Mining Software Repositories, MSR 2020, co-located with the 42nd International Conference on Software Engineering. ICSE 2020
Country/Territory	Korea, Republic of
City	Virtual, Online
Period	29/06/20 → 30/06/20

Keywords

GitHub
Java
Large Scale
Software Testing
Test Suite

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Cite this

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title = "JTeC: A Large Collection of Java Test Classes for Test Code Analysis and Processing",

abstract = "The recent push towards test automation and test-driven development continues to scale up the dimensions of test code that needs to be maintained, analysed, and processed side-by-side with production code. As a consequence, on the one side regression testing techniques, e.g., for test suite prioritization or test case selection, capable to handle such large-scale test suites become indispensable; on the other side, as test code exposes own characteristics, specific techniques for its analysis and refactoring are actively sought. We present JTeC, a large-scale dataset of test cases that researchers can use for benchmarking the above techniques or any other type of tool expressly targeting test code. JTeC collects more than 2.5M test classes belonging to 31K+ GitHub projects and summing up to more than 430 Million SLOCs of ready-to-use real-world test code. ",

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author = "Federico Cor{\`o} and Roberto Verdecchia and Emilio Cruciani and Breno Miranda† and Antonia Bertolino",

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publisher = "Association for Computing Machinery, Inc",

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Corò, F, Verdecchia, R, Cruciani, E, Miranda†, B & Bertolino, A 2020, JTeC: A Large Collection of Java Test Classes for Test Code Analysis and Processing. in MSR 2020: Proceedings of the 17th International Conference on Mining Software Repositories. Association for Computing Machinery, Inc, pp. 578-582, 17th IEEE/ACM International Conference on Mining Software Repositories, MSR 2020, co-located with the 42nd International Conference on Software Engineering. ICSE 2020, Virtual, Online, Korea, Republic of, 29/06/20. https://doi.org/10.1145/3379597.3387484

JTeC: A Large Collection of Java Test Classes for Test Code Analysis and Processing. / Corò, Federico; Verdecchia, Roberto; Cruciani, Emilio et al.

MSR 2020: Proceedings of the 17th International Conference on Mining Software Repositories. Association for Computing Machinery, Inc, 2020. p. 578-582.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - Cruciani, Emilio

AU - Miranda†, Breno

AU - Bertolino, Antonia

PY - 2020/6/29

Y1 - 2020/6/29

N2 - The recent push towards test automation and test-driven development continues to scale up the dimensions of test code that needs to be maintained, analysed, and processed side-by-side with production code. As a consequence, on the one side regression testing techniques, e.g., for test suite prioritization or test case selection, capable to handle such large-scale test suites become indispensable; on the other side, as test code exposes own characteristics, specific techniques for its analysis and refactoring are actively sought. We present JTeC, a large-scale dataset of test cases that researchers can use for benchmarking the above techniques or any other type of tool expressly targeting test code. JTeC collects more than 2.5M test classes belonging to 31K+ GitHub projects and summing up to more than 430 Million SLOCs of ready-to-use real-world test code.

AB - The recent push towards test automation and test-driven development continues to scale up the dimensions of test code that needs to be maintained, analysed, and processed side-by-side with production code. As a consequence, on the one side regression testing techniques, e.g., for test suite prioritization or test case selection, capable to handle such large-scale test suites become indispensable; on the other side, as test code exposes own characteristics, specific techniques for its analysis and refactoring are actively sought. We present JTeC, a large-scale dataset of test cases that researchers can use for benchmarking the above techniques or any other type of tool expressly targeting test code. JTeC collects more than 2.5M test classes belonging to 31K+ GitHub projects and summing up to more than 430 Million SLOCs of ready-to-use real-world test code.

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JTeC: A Large Collection of Java Test Classes for Test Code Analysis and Processing

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