Software Effort Estimation Course (PC2544)

Master the art and science of software project estimation with practical techniques, case studies, and hands-on exercises.

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Quick Navigation

🎯 Exercises

Hands-on exercises for each module with practical estimation scenarios

📊 Case Studies

Real-world examples from C# and Go projects

🛠️ Tools & Templates

Excel templates, calculators, and estimation worksheets

💻 Demo Project

Sample applications demonstrating estimation techniques

Course Modules

Module 1: Overview of Software Estimation

Duration: 90 minutes | Time: 09:00am - 10:30am

Learn the fundamentals of software estimation, key considerations, and best practices.

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Module 2: Approaches to Software Estimation

Duration: 115 minutes | Time: 10:35am - 12:30pm

Explore different estimation approaches including analogy-based, process-driven, and size-based methods.

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Module 3: Development Effort & Cost Estimation

Duration: 105 minutes | Time: 01:30pm - 03:15pm

Deep dive into COCOMO models, task-based estimation, and productivity factors.

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Module 4: Testing Effort Estimation

Duration: 100 minutes | Time: 03:20pm - 05:00pm

Learn specialized techniques for estimating testing effort and quality assurance activities.

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Key Learning Outcomes

After completing this course, you will be able to:

  • ✅ Apply various estimation techniques to different project types
  • ✅ Create comprehensive Work Breakdown Structures (WBS)
  • ✅ Use parametric models like COCOMO effectively
  • ✅ Estimate testing effort using multiple approaches
  • ✅ Develop realistic schedules with risk management
  • ✅ Avoid common estimation pitfalls and cognitive biases

Getting Started

  1. Review the Prerequisites: Ensure you have basic SDLC knowledge
  2. Download Tools: Get the Excel templates from Tools section
  3. Start with Module 1: Begin with fundamental concepts
  4. Practice with Examples: Use the provided case studies
  5. Apply to Your Projects: Use learned techniques in real scenarios
*Course designed and delivered by Ts. Daniel Vong Duration: 1 day (9am-5pm)*