govuk-one-login/ipv-cri-address-api
Apr 2025 – Apr 2025
1 Month active
Languages Used
GherkinJSONJava
Technical Skills
API TestingBDDBackend DevelopmentBehavior Driven DevelopmentBehavior Driven Development (BDD)Code Cleanup
Olufemi Adekomaya
PROFILE
Olufemi Adekomaya
Olufemi Adekomaya enhanced the govuk-one-login/ipv-cri-address-api repository by expanding automated test coverage and refining backend test infrastructure. Focusing on Java and Cucumber with Gherkin syntax, Olufemi implemented new scenarios for postcode lookup and robustly handled edge cases such as missing session IDs and postcodes. The work included targeted code cleanup, refactoring test steps for clarity, and updating test data to align with evolving requirements. By addressing pull request feedback and improving schema validation, Olufemi reduced false positives and improved CI feedback speed, resulting in a more stable test suite and faster issue resolution for production deployments.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
25Total
Bugs
4
Commits
25
Features
4
Lines of code
542
Activity Months1
Your Network
309 peopleSame Organization
@digital.cabinet-office.gov.uk297
Work History
April 2025
25 Commits • 4 Features
Apr 1, 2025April 2025 performance summary for govuk-one-login/ipv-cri-address-api: Focused on expanding test coverage, stabilizing the test suite, and aligning tests with business-critical flows. Key outcomes include robust handling of edge cases (missing session_id and postcode), successful implementation of postcode lookup scenarios, and targeted code/test cleanup that reduces false positives and speeds CI feedback. Data updates and linting fixes kept tests aligned with evolving data and quality standards, contributing to lower incident rates and faster issue resolution in production deployments.
25 Commits • 4 Features
Apr 1, 2025April 2025 performance summary for govuk-one-login/ipv-cri-address-api: Focused on expanding test coverage, stabilizing the test suite, and aligning tests with business-critical flows. Key outcomes include robust handling of edge cases (missing session_id and postcode), successful implementation of postcode lookup scenarios, and targeted code/test cleanup that reduces false positives and speeds CI feedback. Data updates and linting fixes kept tests aligned with evolving data and quality standards, contributing to lower incident rates and faster issue resolution in production deployments.
April 2025
Activity
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Quality Metrics
Correctness89.6%
Maintainability89.6%
Architecture80.0%
Performance82.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
GherkinJSONJava
Technical Skills
API TestingBDDBackend DevelopmentBehavior Driven DevelopmentBehavior Driven Development (BDD)Code CleanupCucumberIntegration TestingJavaRefactoringSchema ValidationTest AutomationTesting
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