API Unit Test Repair Dataset

#Unit Test Repair #Test Code Generation #Assertion Updates #Interface Adaptation #API Evolution #Unit Test Maintenance #API Regression Validation #Automated Testing

Records: 3565
Size: 0.2GB
Format: JSON
Provider: MOBIUSI INC
Updated: v1.02026-11-04

AI Analysis & Value Prop

This dataset pairs API implementation or interface changes with unit tests that fail after those changes and repaired test code aligned with the updated API behavior. Examples cover common repairs such as assertion updates, mock or stub adjustments, and interface adaptation, with a repair category and explanation for each case. The data supports training code models to generate repaired tests and can also be used for regression validation and test maintenance during API evolution.

Overview

Dataset Insights

Preview

Sample Examples

sample.json

{}

Schema

Technical Specifications

Field	Type	Description
file_name	string	File name
repair_category	string	A concise classification of the repair, such as an assertion update, mock or stub adjustment, or interface adaptation.
api_change_context	string	A description or diff of API implementation or interface changes relevant to the test failure.
repair_explanation	string	A brief explanation of why the original test failed and how the repaired test resolves the issue.
repaired_test_code	string	Corrected unit test code updated to match the changed API behavior or interface.
failing_unit_test_code	string	The original unit test code that fails after or in the context of the API change.

Trust

Compliance Statement

Authorization Type

Proprietary - Commercial AI Training License (No Redistribution)

Commercial Use

Requires exclusive subscription or authorization contract (monthly or per-invocation charging)

Privacy and Anonymization

No PII, no real company names, simulated scenarios follow industry standards

Compliance System

Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

FAQ

Frequently Asked Questions

What does the dataset contain?: Each example includes API change context, a unit test that fails after the change, repaired test code, a repair category, and an explanation of the repair.

Which tasks is the dataset suitable for?: It supports unit test repair and test code generation, as well as related training and evaluation tasks such as assertion updates, mock or stub adjustments, and interface adaptation.

How can I access the dataset?: Check the dataset provider or listing page for available versions, data formats, and access instructions. Download and delivery options depend on the platform.

Can I use the dataset in commercial projects?: Usage rights depend on the dataset license. Before commercial use or redistribution, review the provider's license, attribution requirements, and the licensing terms for any included code.

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Cite this Work

@dataset{Mobiusi2026,
  title={API Unit Test Repair Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/76fbb60b10e1cc08a49ef6f4e1b49d3d?dataset_scene_id=19},
  urldate={2026-10-26},
  keywords={API unit test repair,unit test code generation,failing test repair,API interface changes,test case maintenance,code SFT dataset,mock adjustment,regression testing},
  version={1.0}
}

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