01Challenge
Extensive Testing Is Required for Every Update
Software testing requires teams to verify not only newly added features but also existing functions that may be affected by the changes.
As systems grow larger, the number of test cases increases, making it difficult to determine which functions should be tested first.
When test results and defect information are distributed across multiple tools, reviewing previous issues and their resolution status can also require significant time.
02Solution
AI Analyzes Changes and Supports Test Design
AI can analyze specifications, change histories, previous test results, defect information, and other data to identify functions and test items that may be affected by a change.
By connecting AI with test management tools and development environments, teams can streamline quality management workflows such as:
- 1Change Information Collection
- 2AI-Powered Impact Analysis
- 3Draft Test Case Creation
- 4Staff Review
- 5Automated Test Execution
- 6Result Analysis
- 7Release Decision
AI supports test design and result reviews, while development and quality assurance teams make final decisions concerning test coverage and release approval.
03Use Cases
Potential Applications
- Extraction of testing perspectives from specifications
- Support for creating test cases and test data
- Impact analysis based on system changes
- Recommendations for tests that should be prioritized
- Automated test execution and result collection
- Analysis of error logs and defect information
- Search for similar historical defects
- Reporting on test results and software quality
04Expected Benefits
A Release Process That Balances Development Speed and Quality
By using AI to support test case creation and impact analysis, teams can spend less time preparing tests and focus more on critical quality reviews.
Previous test results and defect information can also help teams prioritize functions that are more likely to experience problems and reduce the risk of defects after release.
Robo Lab uses AI, automation, and cloud technologies to improve software testing and quality management based on each company’s development processes and existing tools.