unit-test-boundary-conditions▌
giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026
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Systematic JUnit 5 patterns for testing numeric limits, null/empty cases, and edge conditions.
- ›Covers numeric boundaries (Integer.MIN_VALUE, MAX_VALUE, zero), string edge cases (null, empty, whitespace), and collection sizes (empty, single, many)
- ›Includes parameterized test examples using @ParameterizedTest and @ValueSource for efficient multi-case coverage
- ›Demonstrates floating-point precision testing with tolerance-based assertions, overflow/underflow detection, and special values
Unit Testing Boundary Conditions and Edge Cases
Overview
Systematic patterns for testing boundary conditions, corner cases, and limit values in Java using JUnit 5. Covers numeric boundaries, string edge cases, collection states, floating-point precision, date/time limits, and off-by-one scenarios.
When to Use
- Numeric min/max limits, null/empty/whitespace inputs
- Overflow/underflow validation, collection boundaries
- Off-by-one errors, floating-point precision
Instructions
- Identify boundaries: List numeric limits (MIN_VALUE, MAX_VALUE, zero), string states (null, empty, whitespace), collection sizes (0, 1, many)
- Apply parameterized tests: Use
@ParameterizedTestwith@ValueSourceor@CsvSourcefor multiple boundary values - Test both sides of boundaries: Cover values just below, at, and just above each boundary
- Run tests after adding each boundary category to catch issues early
- Verify floating-point precision: Use
isCloseTo(expected, within(tolerance))with AssertJ - Test collection states: Explicitly test empty (0), single (1), and many (>1) element scenarios
- Handle overflow/underflow: Use
Math.addExact()andMath.subtractExact()to detect arithmetic overflow - Test date/time edges: Verify leap years, month boundaries, timezone transitions
- Iterate based on failures: When a boundary test fails, analyze the error to discover additional untested boundaries; add test cases for the newly discovered edge conditions
Examples
Requires: junit-jupiter, junit-jupiter-params, assertj-core.
Integer Boundary Testing
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.ValueSource;
import static org.assertj.core.api.Assertions.*;
class IntegerBoundaryTest {
@ParameterizedTest
@ValueSource(ints = {Integer.MIN_VALUE, Integer.MIN_VALUE + 1, 0, Integer.MAX_VALUE - 1, Integer.MAX_VALUE})
void shouldHandleIntegerBoundaries(int value) {
assertThat(value).isNotNull();
}
@Test
void shouldDetectIntegerOverflow() {
assertThatThrownBy(() -> Math.addExact(Integer.MAX_VALUE, 1))
.isInstanceOf(ArithmeticException.class);
}
@Test
void shouldDetectIntegerUnderflow() {
assertThatThrownBy(() -> Math.subtractExact(Integer.MIN_VALUE, 1))
.isInstanceOf(ArithmeticException.class);
}
@Test
void shouldHandleZeroEdge() {
int result = MathUtils.divide(0, 5);
assertThat(result).isZero();
assertThatThrownBy(() -> MathUtils.divide(5, 0))
.isInstanceOf(ArithmeticException.class);
}
}
String Boundary Testing
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.ValueSource;
class StringBoundaryTest {
@ParameterizedTest
@ValueSource(strings = {"", " ", " ", "\t", "\n"})
void shouldRejectEmptyAndWhitespace(String input) {
boolean result = StringUtils.isNotBlank(input);
assertThat(result).isFalse();
}
@Test
void shouldHandleNullString() {
String result = StringUtils.trim(null);
assertThat(result).isNull();
}
@Test
void shouldHandleSingleCharacter() {
assertThat(StringUtils.capitalize("a")).isEqualTo("A");
assertThat(StringUtils.trim("x")).isEqualTo("x");
}
@Test
void shouldHandleVeryLongString() {
String longString = "x".repeat(1000000);
assertThat(longString.length()).isEqualTo(1000000);
assertThat(StringUtils.isNotBlank(longString)).isTrue();
}
}
Collection Boundary Testing
class CollectionBoundaryTest {
@Test
void shouldHandleEmptyList() {
List<String> empty = List.of();
assertThat(empty).isEmpty();
assertThat(CollectionUtils.first(empty)).isNull();
assertThat(CollectionUtils.count(empty)).isZero();
}
@Test
void shouldHandleSingleElementList() {
List<String> single = List.of("only");
assertThat(single).hasSize(1);
assertThat(CollectionUtils.first(singlehow to use unit-test-boundary-conditionsHow to use unit-test-boundary-conditions on Cursor
AI-first code editor with Composer
1Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add unit-test-boundary-conditions
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill unit-test-boundary-conditionsThe skills CLI fetches unit-test-boundary-conditions from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/unit-test-boundary-conditionsReload or restart Cursor to activate unit-test-boundary-conditions. Access the skill through slash commands (e.g., /unit-test-boundary-conditions) or your agent's skill management interface.
⚠Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
List & Monetize Your Skill
Submit your Claude Code skill and start earning
GET_STARTED →Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
✓Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
✓Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
✓Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.7★★★★★57 reviews- ★★★★★Kabir Kapoor· Dec 28, 2024
unit-test-boundary-conditions is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Dhruvi Jain· Dec 24, 2024
I recommend unit-test-boundary-conditions for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Michael Desai· Dec 4, 2024
unit-test-boundary-conditions reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kabir Desai· Dec 4, 2024
Useful defaults in unit-test-boundary-conditions — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Naina Farah· Nov 23, 2024
unit-test-boundary-conditions is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kabir Wang· Nov 23, 2024
I recommend unit-test-boundary-conditions for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kofi Taylor· Nov 19, 2024
unit-test-boundary-conditions reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Oshnikdeep· Nov 15, 2024
Useful defaults in unit-test-boundary-conditions — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kaira Abebe· Oct 14, 2024
Useful defaults in unit-test-boundary-conditions — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kofi Reddy· Oct 14, 2024
unit-test-boundary-conditions reduced setup friction for our internal harness; good balance of opinion and flexibility.
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