WebFuzzing/EvoMaster
Oct 2025 – Oct 2025
1 Month active
Languages Used
JavaKotlin
Technical Skills
Algorithm DesignAlgorithm ImplementationBackend DevelopmentBug FixCode ClarityCode Cleanup
fcastagna_meli
PROFILE
Fcastagna_meli
Worked on the WebFuzzing/EvoMaster repository to enhance the genetic algorithm framework, focusing on configurability, reliability, and maintainability. Delivered a configurable workflow and modernized the architecture using Java and Kotlin, introducing strategy and observer patterns for easier extension and improved testability. Refactored the GA operator API for clarity, standardized naming conventions, and expanded documentation to support onboarding and future development. Added new tests and improved test coverage, stabilizing continuous integration and ensuring reproducible results. Emphasized code organization, dependency injection simplification, and package restructuring, resulting in a more robust backend foundation for genetic algorithm experimentation and extension.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
21Total
Bugs
0
Commits
21
Features
3
Lines of code
2,163
Activity Months1
Your Network
27 peopleSame Organization
@mercadolibre.com8
Shared Repositories
19
Agustina AldasoroMember
Alexander SzyrejMember
aschenzleMember
arcuri82Member
biboMember
Franco CastagnaMember
Franco CastagnaMember
Philip GarrettMember
Amid GolMember
Work History
October 2025
21 Commits • 3 Features
Oct 1, 2025October 2025: EvoMaster GA improvements focused on configurability, reliability, and maintainability of the genetic algorithm. Delivered a configurable GA workflow, modernized architecture for easier extension, and cleaned up the GA API. These changes enable faster experimentation, more reproducible results, and more robust builds with stronger test coverage.
21 Commits • 3 Features
Oct 1, 2025October 2025: EvoMaster GA improvements focused on configurability, reliability, and maintainability of the genetic algorithm. Delivered a configurable GA workflow, modernized architecture for easier extension, and cleaned up the GA API. These changes enable faster experimentation, more reproducible results, and more robust builds with stronger test coverage.
October 2025
Activity
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Quality Metrics
Correctness93.8%
Maintainability94.4%
Architecture89.6%
Performance82.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaKotlin
Technical Skills
Algorithm DesignAlgorithm ImplementationBackend DevelopmentBug FixCode ClarityCode CleanupCode DocumentationCode GenerationCode OrganizationCode RefactoringCode RefinementCode RenamingConfiguration ManagementCore JavaDependency Injection
Repositories Contributed To
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