Pull Request Testing Using Function-to-Test Case Mapping
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Solution Overview
Problem
Conventional methods for testing pull requests are time-consuming and labor-intensive, often requiring manual review of all test cases, leading to incomplete coverage and potential bugs upon code merging.
Innovation Solution
A method involving a mapping table to determine test cases corresponding to specific functions in a pull request, allowing targeted execution of relevant test cases without running all test cases for the software system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review of all test cases is performed, then testing completeness is improved, but testing time and labor cost increase significantly
Solution Approach 1:
The patent segments the test case selection process by dividing test cases into different groups based on their relationship with the code changes in the pull request. Instead of treating all test cases uniformly, the system identifies and selects only those test cases that are relevant to the modified functions, thereby reducing the overall testing scope while maintaining effectiveness.
Solution Approach 2:
The patent implements preliminary action by pre-establishing a mapping table that stores the correspondence between functions and test cases before the actual pull request testing occurs. This mapping table is built in advance, allowing the system to quickly retrieve relevant test cases when a pull request is submitted, rather than analyzing all test cases from scratch during the testing phase.
2Reliability
If all test cases are executed for every pull request, then bug detection capability is improved, but testing efficiency deteriorates
Solution Approach 1:
The patent applies the extraction principle by isolating and selecting only the specific test cases that are relevant to the code changes in the pull request. The system extracts the function information from the pull request code, queries the mapping table to identify corresponding test cases, and executes only those extracted test cases rather than running the entire test suite.
Solution Approach 2:
The patent implements partial action by executing a subset of test cases that are sufficient to verify the code changes, rather than running all test cases. The mapping table enables the system to identify the minimal necessary set of test cases that provide adequate coverage for the modified functions, avoiding unnecessary execution of unrelated test cases.
3Productivity
If targeted test case selection based on function mapping is implemented, then testing efficiency is improved, but test case coverage may become incomplete
Solution Approach 1:
The patent replaces the manual mechanical process of reviewing and selecting test cases with an automated system that uses the pre-built mapping table. The system automatically queries the mapping table based on function information from the pull request, retrieves the corresponding test cases, and executes them without manual intervention, thereby maintaining both efficiency and coverage.
Solution Approach 2:
The mapping table serves as an intermediary structure that bridges the gap between code changes and relevant test cases. This intermediary enables the system to accurately identify which test cases correspond to which functions, ensuring that the targeted test case selection process maintains comprehensive coverage of the modified code areas.
Data Source
AI summary
Techniques for testing a pull request involve acquiring a pull request for a software system. Such techniques further involve determining one or more functions involved in the pull request, and determining one or more test cases corresponding to the one or more functions based on a mapping table, wherein the mapping table indicates a correspondence between the functions and the test cases. Such techniques further involve running the one or more test cases to test the pull request. In this way, it is possible to run test cases corresponding to functions involved in a pull request by means of a mapping table indicating the correspondence between the functions and the test cases, and to run these test cases in a targeted manner to determine the pull request, thereby saving time and improving the efficiency and accuracy of the testing.