Walid-khaled/Design-Patterns-Detection-ML
This repository contains an implementation for design patterns detection. In this task, feature engineering and ensemble learning are applied. The dataset is a subset of source code metrics for each an every java project. Each project in the dataset belongs to one of 3 categories. It is apart of Assignment2 in Machine Learning course for ROCV master's program at Innopolis University.
This project helps software developers and researchers automatically identify which common design patterns are used within a Java project's codebase. By analyzing source code metrics, it classifies projects into one of three design pattern categories, streamlining the process of understanding complex software architecture. This is useful for anyone trying to quickly grasp the structural intent behind existing Java applications.
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Use this if you need an automated way to classify Java projects based on their embedded design patterns, saving time on manual code analysis.
Not ideal if you need to detect specific instances of individual design patterns rather than broad categorization of entire projects.
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MIT
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Last pushed
Jul 30, 2022
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