Automatic Unit Test Initialization via Runtime Instrumentation
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Solution Overview
Problem
Software development teams face challenges in efficiently generating high-quality unit tests that provide comprehensive code coverage without increasing development time and cost, especially in large and complex codebases, leading to reduced testing effectiveness and potential software regressions.
Innovation Solution
A computer-implemented method that automatically generates unit tests by determining execution coverage during software program execution, using instrumented code to record data and construct initialization sequences, allowing for the generation of unit tests without explicit programming, thereby reducing the time and cost of software testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual unit test writing is performed to ensure comprehensive code coverage, then testing quality and reliability are improved, but development time and cost increase significantly
Solution Approach 1:
The system enables tests to generate their own initialization sequences by automatically extracting and recording execution data during runtime. The test execution environment self-services by capturing method invocation data, variable states, and execution flow information, which is then used to construct valid initialization sequences without manual intervention.
Solution Approach 2:
The patent replaces the manual mechanical process of writing initialization sequences with an automated system that uses runtime data extraction and sequence construction algorithms. The system substitutes human effort with automated instrumentation that intercepts method calls and reconstructs execution contexts programmatically.
2Reliability
If more unit tests are created to increase code coverage, then software quality and regression protection are improved, but developer time and cost consume a large amount
Solution Approach 1:
The system allows test cases to self-generate their initialization sequences by extracting execution data during runtime. This self-service mechanism automatically captures necessary context information including method parameters, object states, and execution flow, eliminating the need for developers to manually craft initialization code for each test case.
Solution Approach 2:
The system dynamically changes the parameters of test generation by using actual runtime data from executed methods. Instead of using fixed or hypothetical parameters, the system captures real execution data including actual method arguments, return values, and object states, making the generated tests more realistic and reducing the effort required to create meaningful test cases.
3Productivity
If automated test generation tools are used to reduce manual effort, then development speed is improved, but the generated tests may lack sufficient code coverage or test important cases
Solution Approach 1:
The system implements feedback by using actual execution data from running the software to inform the generation of initialization sequences. The instrumentation framework monitors real method invocations, captures actual parameter values and object states, and feeds this information back into the test generation process, ensuring that generated tests reflect real execution scenarios and maintain high effectiveness.
Solution Approach 2:
The system performs preliminary action by pre-recording execution data during normal software operation before test generation occurs. The instrumentation framework captures method invocation patterns, object creation sequences, and data flow information during actual software execution, preparing this data in advance so that test generation can quickly construct accurate initialization sequences without sacrificing quality.
Data Source
AI summary
A computer-implemented method comprising, during execution of a software program comprising a procedure, determining whether an execution of the procedure satisfies a predetermined coverage criterion. In accordance with a determination that the execution of the procedure satisfies the predetermined coverage criterion, recording information related to the execution of the procedure to a log, the information based on data received from instrumented code included in the software program, and automatically generating an arrange section of a unit test for the procedure based on an initialization sequence determined from the recorded log, the initialization sequence comprising a sequence of program instructions which when executed invoke the procedure.


