EXCEEDS logo
Exceeds
francastagna

PROFILE

Francastagna

Worked on the WebFuzzing/EvoMaster repository, delivering enhancements to genetic algorithm infrastructure and backend architecture over three months. Focused on refactoring core components like SteadyStateGeneticAlgorithm to reduce coupling and improve maintainability, while introducing lifecycle-aware features and comprehensive unit tests for algorithms such as MonotonicGeneticAlgorithm and LIPS. Leveraged Kotlin and Java to implement robust test-driven development practices, expand test coverage, and streamline code readability. Addressed bugs and optimized algorithm accuracy, resulting in more reliable evolutionary search and faster iteration cycles. Contributed to documentation and technical writing, ensuring clearer progress tracking and maintainable code for ongoing optimization and fuzzing workflows.

Overall Statistics

Feature vs Bugs

85%Features

Repository Contributions

27Total
Bugs
2
Commits
27
Features
11
Lines of code
13,875,010
Activity Months3

Your Network

23 people

Work History

March 2026

1 Commits • 1 Features

Mar 1, 2026

March 2026: Architectural refactor in WebFuzzing/EvoMaster to decouple SteadyStateGeneticAlgorithm from a concrete superclass, reducing coupling and improving maintainability. The change simplifies the inheritance hierarchy and sets the stage for safer future enhancements across the genetic algorithm family.

November 2025

22 Commits • 8 Features

Nov 1, 2025

Month: 2025-11 — WebFuzzing/EvoMaster: Delivered key algorithm enhancements, expanded test coverage, and code quality improvements to drive more reliable fuzzing and faster iteration cycles. Key features delivered include LIPS Algorithm Enhancements (improved Lips algorithm with new tests), Lips Budget Module (LipsBudget components and tests), Cro Algorithm Enhancements (CroMolecule/CroReactor refactors and tests), and Documentation updates (Options.md). Additional improvements included code cleanup (remove prints), readability refactors (break long if into private methods), and MoleculeDataClass simplification. Major bugs fixed cover opening behavior adjustments and general stability fixes across the codebase. Overall impact: stronger algorithm accuracy and robustness, improved maintainability, and faster, more trustworthy fuzzing results. Technologies/skills demonstrated: Kotlin-based implementations and refactors, comprehensive unit testing (LipsAlgorithmTest, LipsBudgetTest, CroAlgorithmTest, CroReactorTest), test-driven development, and documentation discipline.

October 2025

4 Commits • 2 Features

Oct 1, 2025

October 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.

Activity

Loading activity data...

Quality Metrics

Correctness92.2%
Maintainability89.2%
Architecture88.6%
Performance86.0%
AI Usage20.8%

Skills & Technologies

Programming Languages

JavaKotlinMarkdown

Technical Skills

Algorithm DevelopmentAlgorithm TestingCode RefactoringDocumentationGenetic AlgorithmsJavaKotlinKotlin programmingObject-Oriented ProgrammingSoftware Design PatternsSoftware TestingTest-Driven DevelopmentTestingUnit Testingalgorithm design

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

WebFuzzing/EvoMaster

Oct 2025 Mar 2026
3 Months active

Languages Used

JavaKotlinMarkdown

Technical Skills

Algorithm DevelopmentAlgorithm TestingCode RefactoringGenetic AlgorithmsObject-Oriented ProgrammingSoftware Design Patterns