Evaluating the Impact of AI on Software Development in Applied Computer Science Contexts

1. Introduction 2. Overview of Artificial Intelligence in Software Development 2.1 Definition and Scope of AI 2.2 Historical Development of AI in Software 2.3 Current Trends in AI Technologies 3. Software Development Processes 3.1 Traditional Software Development Models 3.2 Agile Methodologies and AI Integration 3.3 DevOps and Continuous Integration 4. Impact of AI on Coding Practices 4.1 AI-Assisted Code Generation 4.2 AI in Code Refactoring 4.3 AI for Bug Detection and Testing 5. AI in Project Management 5.1 AI-Driven Project Planning 5.2 Task Allocation and Scheduling 5.3 Risk Management through AI 6. AI Tools and Technologies 6.1 Machine Learning Platforms 6.2 Natural Language Processing Applications 6.3 AI in User Experience Design 7. Case Studies in Applied Computer Science 7.1 Case Study: AI in Web Development 7.2 Case Study: AI for Mobile Applications 7.3 Case Study: AI in Data-Driven Decision Making 7.4 Lessons Learned and Best Practices 8. Future Perspectives and Challenges 8.1 Emerging Trends in AI and Software 8.2 Ethical Considerations in AI 8.3 Challenges in AI Adoption 8.4 Potential for Future Research and Development