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Table of Contents:

Chapter One: Introduction
1.1 Background of the Study
1.2 Statement of the Problem
1.3 Objectives of the Study
1.4 Significance of the Study
1.5 Research Questions
1.6 Limitations of the Study
1.7 Scope of the Study

Chapter Two: Literature Review
2.1 Code Review and Quality Improvement
2.2 Intelligent Systems in Software Development
2.3 Automated Code Review Tools
2.4 Best Practices in Code Review
2.5 Related Studies

Chapter Three: System Design
3.1 System Architecture
3.2 System Requirements
3.3 Functional and Non-Functional Requirements
3.4 Design Methodologies
3.5 Data Collection and Analysis

Chapter Four: Implementation
4.1 System Development
4.2 Testing and Evaluation
4.3 Performance Metrics
4.4 Challenges and Solutions
4.5 Future Enhancements

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Recommendations for Future Research
5.4 Contribution to Knowledge
5.5 Practical Implications

Project Summary:

Title: An Intelligent System for Automated Code Review and Quality Improvement

The final year project aims to develop an intelligent system that automates code review processes and improves code quality in software development projects. Code review is a critical aspect of software development, as it helps identify bugs, security vulnerabilities, and overall code quality issues. However, manual code review processes can be time-consuming and error-prone.

The proposed system will utilize artificial intelligence and machine learning techniques to analyze code repositories, identify potential issues, and provide actionable recommendations to developers. The system will also track code quality metrics over time and provide insights on improvement areas.

The project will start with a comprehensive literature review on code review practices, intelligent systems in software development, and automated code review tools. The system design phase will involve defining system requirements, architecture, and design methodologies. The implementation phase will focus on system development, testing, and evaluation.

The project’s outcome is expected to contribute to the field of software engineering by providing a more efficient and effective way to conduct code review processes. The system’s potential impact includes reducing the time and effort required for code reviews, improving code quality, and ultimately enhancing software development productivity.

In conclusion, the project aims to bridge the gap between traditional manual code review processes and modern automated solutions, thereby helping software development teams deliver higher-quality software products in a more timely manner.

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