Syllabus Of SPM-

  1. Introduction to Software Project Management
    • Definition and importance of software project management.
    • The software development life cycle (SDLC) models.
  2. Project Initiation
    • Project feasibility analysis.
    • Project selection and prioritization.
    • Project charter and scope definition.
  3. Project Planning
    • Work breakdown structure (WBS).
    • Estimation techniques (e.g., COCOMO, Function Point Analysis).
    • Scheduling using Gantt charts or network diagrams (e.g., PERT/CPM).
    • Resource allocation and leveling.
    • Risk management and mitigation planning.
  4. Project Execution and Monitoring
    • Team organization and roles.
    • Tracking progress and performance.
    • Change management.
    • Quality assurance and control.
    • Communication management.
  5. Software Development Methodologies
    • Waterfall model.
    • Agile methodologies (e.g., Scrum, Kanban).
    • Hybrid and custom approaches.
  6. Project Metrics and Measurement
    • Key performance indicators (KPIs).
    • Earned value analysis.
    • Defect tracking and management.
  7. Software Configuration Management
    • Version control.
    • Configuration identification and control.
    • Release management.
  8. Software Testing and QA
    • Testing strategies and types.
    • Test planning and execution.
    • Test automation.
  9. Project Documentation
    • Requirement specifications.
    • Design documentation.
    • User manuals and technical documentation.
  10. Project Closure
    • Deliverable acceptance.
    • Lessons learned and post-project evaluation.
    • Handover to maintenance and support teams.
  11. Team Management and Leadership
    • Team building and motivation.
    • Conflict resolution.
    • Leadership styles and skills.
  12. Legal and Ethical Issues
    • Intellectual property.
    • Copyright and licensing.
    • Ethical considerations in software development.
  13. Emerging Trends and Technologies
    • DevOps and continuous integration/continuous deployment (CI/CD).
    • Cloud computing and serverless architectures.
    • AI and machine learning in project management.