PDM4AR/exercises
Aug 2025 – Oct 2025
2 Months active
Languages Used
Python
Technical Skills
Algorithm DesignGraph TheorySoftware EngineeringTestingAlgorithm ImplementationBackend Development
Michelangelo Miragoli
PROFILE
Michelangelo Miragoli
Worked on the PDM4AR/exercises repository to enhance graph-search learning workflows and strengthen validation infrastructure. Developed a ready-to-use template for Exercise 03, supporting UCS and A* algorithms, and refactored data handling and evaluation logic to enable modular testing and accurate assessment of student submissions. Introduced granular dependency validation by converting disallowed dependencies into a library of functions, and implemented a path-cost utility for weighted path analysis. Refactored the validation wrapper to improve reporting of disallowed library calls, increasing reliability and maintainability. Leveraged Python for backend development, algorithm implementation, and code validation, focusing on scalable, testable software engineering solutions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
495
Activity Months2
Your Network
25 peopleWork History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for the PDM4AR/exercises repository. Delivered granular dependency validation and a path-cost utility to enable fine-grained control over disallowed dependencies and weighted path analysis. Refactored the validation wrapper to report disallowed library calls precisely, improving exercise validation reliability. Public patch ex03 released as part of this work. This set of changes strengthens validation fidelity, code maintainability, and supports scalable dependency checks across exercises.
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for the PDM4AR/exercises repository. Delivered granular dependency validation and a path-cost utility to enable fine-grained control over disallowed dependencies and weighted path analysis. Refactored the validation wrapper to report disallowed library calls precisely, improving exercise validation reliability. Public patch ex03 released as part of this work. This set of changes strengthens validation fidelity, code maintainability, and supports scalable dependency checks across exercises.
October 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025In August 2025, delivered a focused enhancement to the exercises repository to support graph-search learning workflows and robust testing. Implemented a ready-to-use template for Exercise 03 with support for UCS and A* and refined the data handling and evaluation logic to enable quick iteration and accurate assessment of student implementations.
August 2025
1 Commits • 1 Features
Aug 1, 2025In August 2025, delivered a focused enhancement to the exercises repository to support graph-search learning workflows and robust testing. Implemented a ready-to-use template for Exercise 03 with support for UCS and A* and refined the data handling and evaluation logic to enable quick iteration and accurate assessment of student implementations.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm DesignAlgorithm ImplementationBackend DevelopmentCode RefactoringCode ValidationGraph TheorySoftware DevelopmentSoftware EngineeringTesting
Repositories Contributed To
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