📘 Software Process Management (SPM)

📑 Table of Contents

Module 1: Introduction to Software Process Management

• What is Software Process?
• Software Process vs Software Product
• Importance of Software Process Management in SDLC
• Role of process in Software Engineering
• Historical evolution of process models
• Process maturity and organizational improvement

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Module 2: Software Process Models

• Waterfall Model
• Incremental Model
• Spiral Model
• V-Model
• Agile Models (Scrum, XP, Kanban, Lean)
• Hybrid and Scaled Agile Frameworks (SAFe, LeSS, Spotify model)
• DevOps and Continuous Delivery models (2025 updates)

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Module 3: Software Process Frameworks & Standards

• Capability Maturity Model Integration (CMMI)
• ISO/IEC 12207 (Software Lifecycle Processes)
• ISO/IEC 15504 (SPICE – Process Assessment)
• ITIL for software service management
• IEEE Standards for process documentation

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Module 4: Process Planning & Management

• Defining process objectives & scope
• Tailoring processes to projects
• Process assets and reuse
• Work breakdown structure (WBS) and scheduling
• Effort estimation techniques (COCOMO II, Function Point Analysis, Story Points)
• Risk management in processes

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Module 5: Agile & Lean Process Management

• Agile principles & manifesto
• Scrum process management
• Lean software development (Kanban boards, value stream mapping)
• Scaling Agile in large organizations
• Continuous feedback and iteration cycles
• AI-driven Agile project management (2025 update)

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Module 6: Process Metrics & Measurement

• Importance of software metrics
• Process performance indicators
• Product vs Process metrics
• Defect density, reliability, maintainability
• Quality assurance metrics
• Measuring productivity and velocity
• AI-driven predictive metrics (latest tools)

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Module 7: Process Improvement Models

• Kaizen and Continuous Process Improvement
• Six Sigma in software engineering
• Personal Software Process (PSP) & Team Software Process (TSP)
• Organizational process maturity models
• Case study: Process improvement using AI tools

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Module 8: Software Quality Management

• Quality planning, assurance, and control
• ISO 9001 and software quality standards
• Cost of quality (COQ) and defect prevention strategies
• Automated quality control with AI/ML tools
• Process audits and compliance

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Module 9: Software Configuration & Change Management

• Configuration management principles
• Version control (Git, GitHub, GitLab)
• Change request process & impact analysis
• Automated configuration management in DevOps
• Continuous monitoring & rollback strategies

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Module 10: Modern Trends in Software Process Management (2025)

• DevOps + AIOps (AI in operations)
• Agile-DevOps integration
• Process mining & optimization using AI
• Digital transformation in process management
• Ethical and sustainable process management
• Future of autonomous process management

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🧪 Practical Labs & Projects

1. Comparative study of process models (Waterfall vs Agile vs DevOps)
2. Process tailoring exercise for a sample project
3. Agile sprint planning using Jira/Trello
4. Implementing process metrics dashboard
5. Case study on CMMI assessment in a software organization
6. Process improvement plan for a university software project
7. Capstone Project: Design a Software Process Framework for a startup

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📚 Reference Books (Updated for 2025)

• Software Engineering — Ian Sommerville (10th Edition, with process chapters)
• Software Process Dynamics — Ray J. Paul (2023 edition)
• Managing the Software Process — Watts S. Humphrey
• Agile Estimating and Planning — Mike Cohn
• CMMI for Development — Mary Beth Chrissis, Mike Konrad, Sandy Shrum
• Lean Software Development — Mary & Tom Poppendieck
• Research papers from IEEE Transactions on Software Engineering & ACM Software Process Improvement and Practice (SPIP)

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🚀 Purpose

This course equips students with the knowledge to analyze, manage, and improve software processes using both traditional frameworks and modern AI-driven practices. It provides the skills needed to handle real-world project management challenges in today’s evolving software industry.

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