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JTeC: A Large Collection of Java Test Classes forTest 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 LOCs of ready-to-use real-world test code.Companion page for the JTeC dataset at https://github.com/JTeCDataset/JTe

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Last time updated on 08/08/2023

This paper was published in ZENODO.

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