Automating Integration Test Execution via Dependency Graph Traversal
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Solution Overview
Problem
Integration testing of applications is time-consuming and labor-intensive due to the complexity of setting up test cases, especially when dealing with numerous components and dependencies among test cases, which hinders the efficiency of software testing.
Innovation Solution
A method and system that utilize a connected graph to represent test cases, allowing an agent to automatically resolve dependencies by traversing paths, execute test cases in parallel, and verify API assertions, thereby reducing the manual effort required in setting up and running integration tests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual setup and execution of integration test cases is performed, then test coverage and reliability are improved, but time consumption and labor intensity increase significantly
Solution Approach 1:
The system enables self-service automation where the testing framework automatically discovers test cases, builds the dependency graph, resolves dependencies, and executes tests without manual intervention. The agent autonomously traverses the dependency graph and manages test execution, eliminating the need for manual setup while maintaining comprehensive test coverage.
Solution Approach 2:
The system changes the execution parameter from sequential manual testing to parallel automated testing. By representing test cases as a directed acyclic graph and using topological sorting, the system transforms the execution model to allow concurrent testing of independent test cases, significantly reducing time consumption while maintaining reliability.
2Reliability
If manual resolution of test case dependencies is performed, then execution order correctness is improved, but labor intensity and complexity increase
Solution Approach 1:
The system replaces manual mechanical dependency resolution with an automated computational approach. The agent automatically builds the dependency graph, performs topological sorting to determine execution order, and resolves dependencies programmatically. This substitution eliminates manual labor while maintaining execution correctness through algorithmic guarantees.
Solution Approach 2:
The system performs preliminary action by pre-building the dependency graph and pre-resolving execution orders before test execution begins. The topological sort is computed in advance, and the dependency resolution is cached, allowing the actual test execution to proceed efficiently without repeated analysis of dependencies during runtime.
3Reliability
If sequential execution of test cases is performed, then dependency correctness is improved, but productivity decreases
Solution Approach 1:
The system segments the test suite into independent parallel-executable units by analyzing the dependency graph. Test cases with no dependencies or whose dependencies are already resolved can be executed in parallel. This segmentation maintains dependency correctness for related tests while enabling concurrent execution of independent tests, significantly improving productivity.
Solution Approach 2:
The system introduces dynamic execution scheduling where the execution order is determined by the dependency graph structure rather than a fixed sequential order. The agent dynamically identifies which test cases can be executed in parallel based on resolved dependencies, adapting the execution plan to maximize concurrency while preserving correctness constraints.
4Reliability
If comprehensive integration testing is performed, then quality assurance is improved, but setup time and effort increase
Solution Approach 1:
The testing framework provides self-service automation that eliminates manual setup effort. The agent automatically discovers test cases, constructs the dependency graph, resolves dependencies through topological sorting, and executes tests comprehensively. This maintains thorough quality assurance while reducing setup effort to minimal configuration.
Solution Approach 2:
The system implements a universal testing framework that handles multiple functions automatically: test case discovery, dependency analysis, execution order determination, parallel execution management, and result aggregation. This multi-functional agent reduces the need for separate manual processes for each testing aspect, simplifying setup while maintaining comprehensive quality assurance.
Data Source
AI summary
Described embodiments provide systems and methods resolving test case dependencies to execute test suites. An agent may establish a connected graph representing a test suite having a test cases to test an application that provides APIs. The connected graph may have an ordered connection of nodes via paths corresponding to each test case. The agent may traverse the ordered connection of nodes in each path of the connected graph to identify test case dependencies and API assertion dependencies. The agent may resolve each test case dependency by executing the dependency. The agent may resolve each API assertion dependency by executing the dependency. The agent may concurrently execute, responsive to resolving each dependency, each test case. The agent may determine a result of an execution of a test case of the test suite. The result may indicate one of a success or failure in executing the test case.