Real-Time Code Analysis for Regression Testing Optimization
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Solution Overview
Problem
In software development, regression testing is resource-intensive and time-consuming, especially when dealing with large test suites and frequent code changes, as it often requires re-running the entire test suite after every modification, which can lead to inefficiencies and increased costs due to the re-emergence of faults and bugs.
Innovation Solution
A method and system for real-time analysis of code using overlapping code segments, where test cases are executed to identify and prioritize overlapping code segments for targeted testing, allowing for selective execution of tests based on previous outputs and inputs, reducing the need to run the entire test suite and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire test suite is re-run after every code change, then regression testing completeness is improved, but testing time and resource consumption increase
Solution Approach 1:
The patent divides the monolithic test suite into smaller, independent test cases that can be executed selectively. Each test case is associated with specific code segments, allowing the system to identify and execute only the relevant subset of tests affected by code changes, rather than running the entire test suite.
Solution Approach 2:
The patent implements partial action by executing only the necessary portion of the test suite based on code change analysis. The system determines the minimal set of test cases that need to be run to verify the impact of changes, reducing unnecessary test executions while maintaining adequate regression testing coverage.
2Reliability
If the entire test suite is re-run after every code change, then bug detection capability is improved, but resource consumption increases
Solution Approach 1:
The test suite is segmented into individual test cases that can be independently selected and executed. This segmentation allows the system to run only the specific test cases relevant to the code changes, reducing overall resource consumption while maintaining effective bug detection for the affected areas.
Solution Approach 2:
The system dynamically changes the execution parameters of the testing process by selecting which test cases to run based on code change analysis. This parameter adjustment optimizes resource usage by avoiding the execution of test cases that are not relevant to the current code changes.
3Reliability
If regression testing is performed frequently, then software quality is improved, but productivity decreases
Solution Approach 1:
The patent applies partial action by running only the necessary subset of test cases rather than the complete test suite. This approach enables more frequent regression testing to be performed with reduced overhead, maintaining software quality while minimizing the impact on development productivity.
Solution Approach 2:
The system skips unnecessary test cases that are not relevant to the current code changes. By identifying and skipping these tests, the system can perform regression testing more quickly and frequently without significantly impacting overall development speed.
Data Source
AI summary
A method, non-transitory computer readable medium and a computerized system for testing a code using real time analysis. The method can include (i) executing a group of test cases while performing real time analysis to find a set of overlapping code segments (OCSs), input values that are fed, during the executing of the group, to each one of the set of OCSs, and output values that are outputted from each one of the OCSs during the execution of the group, (ii) generating, for at least some of the OCSs, at least one OCS test for testing each of the at least some OCSs, wherein the generating is based, at least in part, on the input values and the output values, (iii) determining an evaluation process of the code that includes executing one or more OCS tests for testing one or more OCSs, (iv) evaluating the code by executing the evaluation process.