Software Defect Detection

Project Overview

The Software Defect Detection project is a tool designed to identify and analyze software bugs efficiently, ensuring improved code quality and reliability. It leverages advanced techniques to streamline the debugging process.

Project Details

A machine learning-based system designed to predict software defects by analyzing code metrics such as lines of code, cyclomatic complexity, coupling, cohesion, and historical bug data.

Challenges & Solutions

Challenges: Imbalanced Data: Most datasets contain far more non-defective modules than defective ones, leading to biased model predictions.

Solutions: CSV File Handling:Use pandas to read and validate the uploaded CSV file.