DirectedGraphAcyclicityChecker
CycleDetectionWithExactPathRecovery
01Project Overview
This project was built to detect cyclic dependencies in directed graphs with an optimized depth-first search approach. It is useful for understanding dependency chains, deadlock-style loops, and other network structures where cycles are a problem.
Instead of stopping at a boolean result, the application reconstructs the exact cycle path when one is found, which makes the output actionable for diagnosis and teaching.
02Key Features
DFS Cycle Detection
Traverses nodes and edges with O(V + E) complexity while tracking recursion state for cycle discovery.
Cycle Path Extraction
Reconstructs the exact loop sequence instead of only reporting that a cycle exists.
Graph Parsing
Loads structured text input into a fully initialized graph model ready for analysis.
Performance Benchmarking
Includes timing instrumentation to measure the algorithm's execution latency in milliseconds.
Technical Specifications
Built with core language features and object-oriented design principles.
Simple CLI workflow for graph ingestion and cycle analysis.
Memory-efficient graph representation for sparse directed networks.
The system is divided into tightly scoped components for parsing, generation, traversal, and reporting.
Demonstrates graph theory fundamentals, recursion, and clean OOP design in one focused utility.