ISTQB Foundation Level
  • ISTQB CTFL Syllabus 2018 V3.1
  • Author - Magdalena Olak
  • 1. Fundamentals of Testing
    • 1.1. What is Testing?
      • 1.1.1. Typical Objectives of Testing
      • 1.1.2. Testing and Debugging
    • 1.2. Why is Testing Necessary?
      • 1.2.1 Testing’s Contributions to Success
      • 1.2.2 Quality Assurance and Testing
      • 1.2.3 Errors, Defects, and Failures
      • 1.2.4 Defects, Root Causes and Effects
    • 1.3. Seven Testing Principles
    • 1.4. Test Process
      • 1.4.1 Test Process in Context
      • 1.4.2 Test Activities and Tasks
      • 1.4.3 Test Work Products
      • 1.4.4 Traceability between the Test Basis and Test Work Products
    • 1.5. The Psychology of Testing
      • 1.5.1 Human Psychology and Testing
      • 1.5.2 Tester’s and Developer’s Mindsets
  • 2. Testing Throughout the Software Development Lifecycle
    • 2.1. Software Development Lifecycle Models
      • 2.1.1. Software Development and Software Testing
      • 2.1.2. Software Development Lifecycle Models in Context
    • 2.2. Test Levels
      • 2.2.1. Component Testing
      • 2.2.2 Integration Testing
      • 2.2.3. System Testing
      • 2.2.4. Acceptance Testing
    • 2.3. Test Types
      • 2.3.1. Functional Testing
      • 2.3.2. Non-functional Testing
      • 2.3.3. White-box Testing
      • 2.3.4. Change-related Testing
      • 2.3.5. Test Types and Test Levels
    • 2.4. Maintenance Testing
      • 2.4.1 Triggers for Maintenance
      • 2.4.2 Impact Analysis for Maintenance
  • 3 Static Testing
    • 3.1 Static Testing Basics
      • 3.1.1 Work Products that Can Be Examined by Static Testing
      • 3.1.2 Benefits of Static Testing
      • 3.1.3 Differences between Static and Dynamic Testing
    • 3.2 Review Process
      • 3.2.1 Work Product Review Process
      • 3.2.2 Roles and responsibilities in a formal review
      • 3.2.3 Review Types
      • 3.2.4 Applying Review Techniques
      • 3.2.5 Success Factors for Reviews
  • 4 Test Techniques
    • 4.1 Categories of Test Techniques
      • 4.1.1 Categories of Test Techniques and Their Characteristics
    • 4.2 Black-box Test Techniques
      • 4.2.1 Equivalence Partitioning
      • 4.2.2 Boundary Value Analysis
      • 4.2.3 Decision Table Testing
      • 4.2.4 State Transition Testing
      • 4.2.5 Use Case Testing
    • 4.3 White-box Test Techniques
      • 4.3.1 Statement Testing and Coverage
      • 4.3.2 Decision Testing and Coverage
      • 4.3.3 The Value of Statement and Decision Testing
    • 4.4 Experience-based Test Techniques
      • 4.4.1 Error Guessing
      • 4.4.2 Exploratory Testing
      • 4.4.3 Checklist-based Testing
  • 5 Test Management
    • 5.1 Test Organization
      • 5.1.1 Independent Testing
      • 5.1.2 Tasks of a Test Manager and Tester
    • 5.2 Test Planning and Estimation
      • 5.2.1 Purpose and Content of a Test Plan
      • 5.2.2 Test Strategy and Test Approach
      • 5.2.3 Entry Criteria and Exit Criteria (Definition of Ready and Definition of Done)
      • 5.2.4 Test Execution Schedule
      • 5.2.5 Factors Influencing the Test Effort
      • 5.2.6 Test Estimation Techniques
    • 5.3 Test Monitoring and Control
      • 5.3.1 Metrics Used in Testing
      • 5.3.2 Purposes, Contents, and Audiences for Test Reports
    • 5.4 Configuration Management
    • 5.5 Risks and Testing
      • 5.5.1 Definition of Risk
      • 5.5.2 Product and Project Risks
      • 5.5.3 Risk-based Testing and Product Quality
    • 5.6 Defect Management
  • 6 Tool Support for Testing
    • 6.1 Test Tool Considerations
      • 6.1.1 Test Tool Classification
      • 6.1.2 Benefits and Risks of Test Automation
      • 6.1.3 Special Considerations for Test Execution and Test Management Tools
    • 6.2 Effective Use of Tools
      • 6.2.1 Main Principles for Tool Selection
      • 6.2.2 Pilot Projects for Introducing a Tool into an Organization
      • 6.2.3 Success Factors for Tools
Powered by GitBook
On this page

Was this helpful?

  1. 4 Test Techniques
  2. 4.2 Black-box Test Techniques

4.2.2 Boundary Value Analysis

Boundary value analysis (BVA) is an extension of equivalence partitioning, but can only be used when the partition is ordered, consisting of numeric or sequential data. The minimum and maximum values (or first and last values) of a partition are its boundary values (see Beizer 1990).

For example, suppose an input field accepts a single integer value as an input, using a keypad to limit inputs so that non-integer inputs are impossible. The valid range is from 1 to 5, inclusive. So, there are three equivalence partitions: invalid (too low); valid; invalid (too high). For the valid equivalence partition, the boundary values are 1 and 5. For the invalid (too high) partition, the boundary value is 6. For the invalid (too low) partition, there is only one boundary value, 0, because this is a partition with only one member.

In the example above, we identify two boundary values per boundary. The boundary between invalid (too low) and valid gives the test values 0 and 1. The boundary between valid and invalid (too high) gives the test values 5 and 6. Some variations of this technique identify three boundary values per boundary: the values before, at, and just over the boundary. In the previous example, using three-point boundary values, the lower boundary test values are 0, 1, and 2, and the upper boundary test values are 4, 5, and 6 (see Jorgensen 2014).

Behavior at the boundaries of equivalence partitions is more likely to be incorrect than behavior within the partitions. It is important to remember that both specified and implemented boundaries may be displaced to positions above or below their intended positions, may be omitted altogether, or may be supplemented with unwanted additional boundaries. Boundary value analysis and testing will reveal almost all such defects by forcing the software to show behaviors from a partition other than the one to which the boundary value should belong.

Boundary value analysis can be applied at all test levels. This technique is generally used to test requirements that call for a range of numbers (including dates and times). Boundary coverage for a partition is measured as the number of boundary values tested, divided by the total number of identified boundary test values, normally expressed as a percentage. 4.2.3 Decision

Previous4.2.1 Equivalence PartitioningNext4.2.3 Decision Table Testing

Last updated 4 years ago

Was this helpful?