Distributed Software Testing Service Parallel Execution
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Solution Overview
Problem
Software development teams face challenges in deploying code changes to production environments in a timely manner due to the lengthy time required for thorough software testing, which can lead to reduced testing and increased risks of deploying software with bugs.
Innovation Solution
A distributed software testing service that allows developer-created tests to be executed in parallel across multiple test instances, reducing execution time while ensuring thorough testing without requiring modifications to existing tests, by utilizing on-demand computing resources and dynamic provisioning of test instances based on historical execution data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If thorough testing is performed to ensure software quality, then reliability is improved, but time required for testing increases
Solution Approach 1:
The patent segments the testing process by dividing tests into multiple independent test instances that can be executed in parallel. Each test instance runs independently on separate computing resources, allowing the testing system to process multiple tests simultaneously rather than sequentially, thus reducing total testing time while maintaining comprehensive coverage
Solution Approach 2:
The patent transitions from single-threaded sequential execution to multi-threaded parallel execution, adding the dimension of concurrency. By utilizing multiple threads and computing resources, the system executes tests in parallel across different dimensions of computation, significantly reducing the time required to complete the entire test suite
2Productivity
If multithreaded execution is used to speed up testing, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent introduces a test framework as an intermediary layer between the developer's test code and the execution infrastructure. This framework automatically handles thread creation, test distribution, result collection, and coordination, abstracting away the complexity of multithreaded execution from the developer while enabling parallel testing
Solution Approach 2:
The testing system performs self-organization and self-management of parallel execution. The framework automatically provisions computing resources, distributes tests to appropriate threads, monitors execution status, and aggregates results without requiring manual configuration or intervention, thereby enabling productivity improvement without proportionally increasing operational complexity
3Productivity
If more test instances are provisioned to reduce execution time, then productivity is improved, but loss of energy increases
Solution Approach 1:
The patent implements dynamic provisioning of test instances based on实际需求. The system can provision additional computing resources when tests require parallel execution and de-provision resources when testing is complete or when fewer resources are sufficient, allowing the system to adapt resource allocation to actual workloads and minimize energy waste
Solution Approach 2:
The system dynamically adjusts the number of test instances and computing resource parameters based on test complexity, historical execution data, and available resources. By optimizing the parameter of test instance quantity rather than maintaining a fixed high resource allocation, the system achieves productivity improvement while minimizing energy consumption
Data Source
AI summary
Technologies are disclosed herein for distributed software testing. A software testing service is disclosed that can receive tests for software under test. The software testing service can determine a number of test instances to utilize to perform the tests. The determined number of test instances can then be provisioned, such as through the use of an on-demand computing service executing in a service provider network. The test instances can also be configured with the software under test and a test runner capable of performing the tests on the software. The software testing service can place the tests on a queue, such as a queue provided by a queue service. The test runners executing on the test instances can dequeue the tests and perform the tests on the software. Once the testing of the software under test has been completed, the test instances can be de-provisioned.