Boundary Value Analyzer
Automatically generate test cases from boundary values of input parameters. Efficiently test areas where bugs are likely to occur.
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How to Use
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- 1
Set Parameters
Set the parameter name, minimum, and maximum values. Use presets or add manually.
- 2
Select Analysis Type
Choose Normal (boundaries only), Robust (include outside), or Comprehensive.
- 3
Generate and Export Test Cases
Click "Generate Test Cases" to create boundary value test cases and export in CSV or Markdown format.
Presets
Parameter Settings
Set the valid range for each parameter
Analysis Type
Generation
Results
What is Boundary Value Analyzer?
Boundary Value Analyzer is an online tool that automatically generates boundary value test cases from the valid range of input parameters. Since software bugs often occur near boundaries, boundary value testing is crucial for quality assurance. You can choose from three analysis types: Normal, Robust, and Comprehensive to efficiently create test cases.
Key Features
- Automatically generate boundary value test cases from min and max values
- Support for three analysis types: Normal, Robust, and Comprehensive
- Support for both integer and decimal data types
- Configure multiple parameters simultaneously
- Export in CSV and Markdown formats
Use Cases
- Generating test cases for numeric input validation — minimum, maximum, and just-outside values
- Testing age or quantity fields to ensure edge values (0, 1, max, max+1) are handled correctly
- Reducing test design effort for range-based inputs in web forms or APIs
- Preventing boundary-related bugs that are common in off-by-one errors
- Exporting structured test cases to paste into Jira, TestRail, or a test plan document
- Teaching boundary value analysis technique to junior QA engineers
Frequently Asked Questions
What is boundary value analysis?
Boundary value analysis is a testing technique that tests the boundaries of valid input ranges (minimum and maximum values and their neighbors). Since program bugs often occur at boundary conditions, it enables efficient bug detection.
What is the difference between Normal, Robust, and Comprehensive?
Normal tests only min and max values. Robust tests both inside and outside boundaries (min-1, min, max, max+1). Comprehensive tests all boundary +/-1 values (min-1, min, min+1, max-1, max, max+1).
How are valid and invalid values determined?
Values within the configured min-max range are valid, and values outside are invalid. Invalid value test cases are used to verify that the system properly handles errors.
How do I set the step for decimal values?
Set the data type to 'Decimal' and specify the precision in the Step field. For example, setting 0.1 generates test cases at boundary +/-0.1.
How do I use the generated test cases?
Download in CSV format for use in Excel or test management tools, or copy in Markdown format to paste into documentation. Use them as a checklist during test execution.