DevOps Platform Unit Test Repair Dataset

#Unit test repair #Test code generation #Assertion correction #Boundary condition testing #DevOps platforms #Automated testing #Continuous integration #Software quality assurance

7850
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-02

AI Analysis & Value Prop

This dataset contains source code for DevOps platforms, defective or incomplete unit tests, and repaired tests that verify intended behavior. Examples cover common issues such as incorrect assertions, misconfigured test doubles, and missing boundary conditions, with repair categories and explanations. It supports training and evaluating models to interpret code context, identify test defects, and generate repaired unit tests.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
source_code	string	Relevant DevOps platform source code provided as context for repairing the unit test.
repair_categories	array	The issue categories addressed by the repair.
existing_test_code	string	The original unit test code containing an incorrect assertion, a misconfigured test double, a missing boundary condition, or another defect.
repair_explanation	string	A concise explanation of the changes and how the repaired test verifies the intended behavior.
repaired_test_code	string	Corrected or completed unit test code that verifies the intended behavior.

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

Frequently Asked Questions

What does the dataset contain?: Each example includes relevant DevOps platform source code, the original unit test, repaired test code, repair categories, and an explanation. These fields provide context for understanding the defect and the repair.

Which training and evaluation tasks does it support?: It supports code generation tasks such as unit test repair, test code generation, assertion correction, and boundary condition coverage. It can also be used to evaluate whether a model can identify and fix test defects based on source code.

How can I access the dataset?: Follow the delivery method and format details provided on the product page. Before integrating it into a training workflow, review the sample structure and configure the runtime for the test framework used by your project.

What are the licensing and usage terms?: Permitted use depends on the license and delivery terms listed on the product page. Before using the data for training, evaluation, or redistribution, review those terms and check that the source code and tests meet your project's compliance requirements.

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Cite this Work

@dataset{Mobiusi2026,
  title={DevOps Platform Unit Test Repair Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/1dd764113f51d8adcb5b6940b77403dc?dataset_task_cate_id=8},
  urldate={2026-10-22},
  keywords={DevOps test dataset,unit test repair,test code generation,code SFT data,automated testing training,unit test defects,assertion correction,boundary condition testing},
  version={1.0}
}

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