WebFuzzing/EvoMaster
Oct 2025 – Oct 2025
1 Month active
Languages Used
JavaKotlin
Technical Skills
Algorithm DevelopmentAlgorithm TestingCode RefactoringGenetic AlgorithmsObject-Oriented ProgrammingSoftware Design Patterns
francastagna
PROFILE
Francastagna
During October 2025, Federico Castagna enhanced the genetic algorithm infrastructure for the WebFuzzing/EvoMaster repository by integrating lifecycle-aware features into the MonotonicGeneticAlgorithm and refactoring it for improved progress tracking and maintainability. He introduced lifecycle hooks to the core algorithm architecture, aligning population updates and scoring with these new methods. Federico also developed comprehensive unit tests for the SteadyStateGeneticAlgorithm, covering optimal solution discovery and edge cases, while refining documentation and code quality. Working primarily in Kotlin and Java, he applied test-driven development and object-oriented design principles, resulting in more reliable evolutionary search and clearer progress traceability for stakeholders and developers alike.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
585
Activity Months1
Your Network
18 peopleSame Organization
@dc.uba.ar1
Work History
October 2025
4 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for WebFuzzing/EvoMaster focused on strengthening genetic algorithm infrastructure and test coverage. Delivered lifecycle-aware MonotonicGeneticAlgorithm and enhanced progress tracking, plus robust SteadyStateGeneticAlgorithm tests and code quality improvements. Result: more reliable evolutionary search, better maintainability, and clearer evidence of progress for stakeholders.
4 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for WebFuzzing/EvoMaster focused on strengthening genetic algorithm infrastructure and test coverage. Delivered lifecycle-aware MonotonicGeneticAlgorithm and enhanced progress tracking, plus robust SteadyStateGeneticAlgorithm tests and code quality improvements. Result: more reliable evolutionary search, better maintainability, and clearer evidence of progress for stakeholders.
October 2025
Activity
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Quality Metrics
Correctness87.4%
Maintainability87.4%
Architecture72.4%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaKotlin
Technical Skills
Algorithm DevelopmentAlgorithm TestingCode RefactoringGenetic AlgorithmsObject-Oriented ProgrammingSoftware Design PatternsSoftware TestingTest-Driven DevelopmentTestingUnit Testing
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