Software Design for Intelligent Data Analytics

From a problem statement to a complete software project, this hands-on book guides students in transforming ideas into well-designed, testable, and data-ready software systems.

Designed for B.Tech, BCA, MCA, M.Sc., and other computing students, it presents a practical journey through stakeholder analysis, requirement elicitation, Software Requirements Specification (SRS), feasibility study, SDLC models, UML modeling, data analytics, UI/UX design, object-oriented design, SOLID principles, system architecture, software testing, requirement traceability, and project documentation.

Real-world case studies, ready-to-use templates, UML diagrams, checklists, practical activities, and testing formats help readers systematically plan and develop their own software projects.

The book highlights how intelligent system design enables better data analytics through effective data capture, organization, and integration. It also explores how ChatGPT, GitHub Copilot, and Claude can support requirements analysis, SRS preparation, modeling, testing, and analytics while preserving human judgment.

Ideal for internships, laboratory assignments, mini-projects, and final-year projects, this book offers a practical roadmap from requirements to implementation and documentation.

Understand. Design. Build. Test. Document.