--- license: cc-by-4.0 task_categories: - text-generation language: - en tags: - code - java - test-update - test-evolution - software-engineering - benchmark size_categories: - n<1K configs: - config_name: default data_files: data/train.jsonl --- # TestEvo-Bench / teb-update A benchmark for **test-update** in evolving Java codebases. Each row captures a single (project, revision-pair) where one or more existing tests were *modified* to track a change in production code, and surfaces both the old and new test versions plus the relevant production-side context. ## Links - 🌐 Project website: https://www.testevo-bench.com/ - 📦 Code repository: https://anonymous.4open.science/r/testevo-bench-1150 - 🤝 Sibling dataset: [`TestEvo-Bench/teb-generation`](https://huggingface.co/datasets/TestEvo-Bench/teb-generation) — for **test-generation** (writing new tests instead of updating existing ones) ## Dataset summary `teb-update` is a benchmark for updating existing test methods to track changes in the production code they exercise. Every example was mined from a real commit (`rev1` → `rev2`) on a public Java project, and the test edit reflects an adaptation to a behavior- or signature-level change in the focal production method rather than purely cosmetic refactoring. Each row corresponds to a single (project, `rev1` → `rev2`) pair. Inside the row, `test_changes` is a list of one or more individual test methods that were modified in that commit, each paired with its focal production method, the production-side before/after, candidate dependency methods, and the dependencies that changed in the same commit. | | | |---|---| | Tasks (rows) | 509 | | Test methods | 1,138 | | Source projects | 59 distinct Java repositories on GitHub | | Java versions | 8, 11, 17, 21 | | Build system | Maven | | Total size | ~9 MB | A **task** is one (project, rev1 → rev2) pair — the unit a model is asked to operate on. A **test method** is one entry inside that task's `test_changes` list — a single `@Test` method that was modified between `rev1` and `rev2`. One task may contain several related test edits committed together; benchmarks can be reported at either granularity. ## Schema Each row has the following top-level fields: | Field | Type | Description | |---|---|---| | `task_id` | string | Stable identifier: `______` | | `project_name` | string | e.g. `DerekYRC_mini-spring-main` | | `git_clone_url` | string | Upstream GitHub clone URL | | `rev1` | string | Git SHA before the change (full 40-char) | | `rev2` | string | Git SHA after the change | | `rev1_date` | string | ISO 8601 (e.g. `2020-12-06T08:42:43Z`) | | `rev2_date` | string | ISO 8601 | | `git_diff_url` | string | GitHub `compare` URL between rev1 and rev2 | | `test_file` | string | Path of the test file within the repo | | `test_changes` | list<struct> | One element per individual test method that was modified; see below | | `version` | string | Upstream tag or branch (e.g. `v0.1.0`, `master`) | | `java_version` | int | Java major version (8, 11, 17, or 21) | Each `test_changes[]` element contains: | Field | Type | Description | |---|---|---| | `change_id` | string | Unique id within the dataset | | `test_sign` | string | JVM-style test method signature | | `class`, `method`, `module` | string | Test class, method name, Maven module | | `junit_selector` | string | JUnit selector usable by `mvn test -Dtest=…` | | `old_test_code` | string | The test method's source at `rev1` (always present for `teb-update` since rows are *modifications*) | | `new_test_code` | string | The test method's source at `rev2` | | `old_test_lnum`, `new_test_lnum` | list<string> | Line ranges of the test method at each rev | | `old_test_file_path` | list<string> | Where the test file lived at `rev1` | | `old_production_code`, `new_production_code` | string | Source of the focal production method at each rev | | `focal_file_path` | string | Path of the focal production file | | `focal_method_sign` | string | JVM-style signature of the focal production method | | `focal_all_deps_scored` | list<struct> | All candidate dependency methods, each with a relevance score (`nc`, `lcs_u`, `ed`, `class`, `tfidf` signal sub-scores combined into `score`) | | `deps_changes` | list<struct> | Production-code dependencies that changed between `rev1` and `rev2` | ## How to load ```python from datasets import load_dataset ds = load_dataset("TestEvo-Bench/teb-update", split="train") print(len(ds), ds.column_names) # Iterate over individual test edits (the unit of evaluation) for row in ds: for tc in row["test_changes"]: before = tc["old_test_code"] after = tc["new_test_code"] focal = tc["focal_method_sign"] ... ``` ## Source projects + attribution The code snippets in `old_test_code`, `new_test_code`, `old_production_code`, and `new_production_code` are derived from public Java repositories on GitHub. Each row's `git_clone_url` and `git_diff_url` link back to the upstream project; the upstream repository's own license governs reuse of those code snippets. The dataset structure and metadata are released under CC-BY-4.0 — please cite the project (see below) when using this benchmark. ## Intended uses Evaluating LLMs and program-synthesis systems on the task of editing an existing test method to track a production-code change, given (a) the original test, (b) the production-code diff, and (c) candidate focal-method dependencies. The included `focal_all_deps_scored` signals support both retrieval-augmented and end-to-end setups. ## License - **Dataset structure and metadata:** CC-BY-4.0 - **Embedded code snippets:** governed by each upstream repository's own license. See `git_clone_url` per row.