Objective: The objective of this project is to design and implement an automated code review system that can assist software developers in analyzing and improving the quality of their code. – Complete project material

Table of Content:

Chapter 1: Introduction
1.1 Background of the Study
1.2 Problem Statement
1.3 Research Questions
1.4 Objectives of the Study
1.5 Limitations of the Study
1.6 Scope of the Study

Chapter 2: Literature Review
2.1 Concept of Automated Code Review
2.2 Importance of Code Quality
2.3 Existing Code Review Tools
2.4 Best Practices in Code Review
2.5 Challenges in Code Review

Chapter 3: System Design
3.1 System Architecture
3.2 Functional Requirements
3.3 Non-functional Requirements
3.4 System Components
3.5 Data Flow Diagrams

Chapter 4: Implementation
4.1 Technology Stack
4.2 Development Process
4.3 Testing and Validation
4.4 Performance Evaluation
4.5 User Feedback

Chapter 5: Conclusion and Summary
5.1 Recap of Objectives
5.2 Key Findings
5.3 Contributions of the Study
5.4 Future Directions
5.5 Conclusion

Project Summary:

The project focuses on designing and implementing an automated code review system to aid software developers in enhancing the quality of their code. The system is developed to automate the process of reviewing source code, identifying potential issues, and providing feedback to developers for improvement.

Through an extensive literature review, it was found that code quality is crucial for the overall success of software projects. Manual code reviews are time-consuming and error-prone, leading to the need for automated solutions. Existing code review tools were analyzed to understand the current state of the industry and identify gaps that can be addressed in the proposed system.

The system design phase involved creating a detailed architecture, defining functional and non-functional requirements, and outlining the components of the system. Data flow diagrams were used to illustrate how information flows within the system and between different modules.

During the implementation phase, a suitable technology stack was chosen, and the development process followed industry best practices. Testing and validation were carried out to ensure the system’s functionality and performance. User feedback was also collected to make necessary improvements based on user experiences.

In conclusion, the project successfully designed and implemented an automated code review system that can help software developers in improving their coding practices. The system has the potential to enhance code quality, reduce errors, and increase overall productivity in software development projects. Future directions include further refinement of the system, integration with existing development tools, and collaboration with industry partners for real-world testing and validation.

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