ssafy16codingteststudy/1st_algorithm
Feb 2025 – Mar 2025
2 Months active
Languages Used
Java
Technical Skills
AlgorithmAlgorithmsData StructuresDepth First SearchDepth First Search (DFS)Dijkstra's Algorithm
JeongYeonKim
PROFILE
Jeongyeonkim
Over two months, Kim Jeongyeon developed reusable algorithmic solutions in the ssafy16codingteststudy/1st_algorithm repository, focusing on Java and object-oriented programming. Kim delivered binary tree utilities for parent discovery, multiple traversals, and lowest common ancestor queries, as well as grid-based graph algorithms including Dijkstra’s pathfinding and safe area calculations. The work emphasized modularity, comprehensive test coverage, and clear documentation, supporting maintainability and onboarding. In March, Kim implemented a rule-driven league solver for the SWEA Promotion/Relegation League, designing custom comparison logic and array-based data management. The solutions demonstrated depth in algorithm design and robust problem-solving for competitive programming contexts.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
3
Lines of code
460
Activity Months2
Your Network
15 people
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025Monthly work summary for 2025-03 focusing on key accomplishments, featuring the SWEA Promotion/Relegation League Solver implemented in Java for the 1st_algorithm repository, with a Player class including comparison logic and a UserSolution class to manage player arrays, simulate moves, and facilitate trades; initialization of player data; sorting players within leagues; and data aggregation and swaps based on league rules. No major bugs fixed this month. Repositories involved: ssafy16codingteststudy/1st_algorithm. Overall impact: delivered a reusable, rule-driven league solver that improves problem-solving capability and provides a solid foundation for competitive programming challenges; enhances maintainability through well-structured OO design and clear data flows. Technologies/skills demonstrated: Java, object-oriented design, custom comparison logic, array-based data management, alignment with league rules for simulation, and data aggregation/swap strategies.
1 Commits • 1 Features
Mar 1, 2025Monthly work summary for 2025-03 focusing on key accomplishments, featuring the SWEA Promotion/Relegation League Solver implemented in Java for the 1st_algorithm repository, with a Player class including comparison logic and a UserSolution class to manage player arrays, simulate moves, and facilitate trades; initialization of player data; sorting players within leagues; and data aggregation and swaps based on league rules. No major bugs fixed this month. Repositories involved: ssafy16codingteststudy/1st_algorithm. Overall impact: delivered a reusable, rule-driven league solver that improves problem-solving capability and provides a solid foundation for competitive programming challenges; enhances maintainability through well-structured OO design and clear data flows. Technologies/skills demonstrated: Java, object-oriented design, custom comparison logic, array-based data management, alignment with league rules for simulation, and data aggregation/swap strategies.
March 2025
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 — ssafy16codingteststudy/1st_algorithm: Delivered two cohesive feature sets with multi-test-case readiness, building a reusable algorithm toolkit for common problem-solving tasks and strengthening code quality and documentation. No explicit major bugs logged this month; stability improved through targeted refactors and comprehensive tests.
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 — ssafy16codingteststudy/1st_algorithm: Delivered two cohesive feature sets with multi-test-case readiness, building a reusable algorithm toolkit for common problem-solving tasks and strengthening code quality and documentation. No explicit major bugs logged this month; stability improved through targeted refactors and comprehensive tests.
Activity
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Quality Metrics
Correctness93.4%
Maintainability80.0%
Architecture80.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
AlgorithmAlgorithmsData StructuresDepth First SearchDepth First Search (DFS)Dijkstra's AlgorithmGraph TraversalJavaObject-Oriented ProgrammingProblem SolvingTree Traversal
Repositories Contributed To
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