Software Project Management
|Instructor||CEU Units||# of Lectures||Hours per Week||Tuition|
The Software Project Management course focuses on plan-driven projects.
Upon completion of the lectures students will:
- Describe the differences between project management and software project management.
- Use multiple techniques to estimate software tasks, projects and products.
- Define, implement, analyze and use the metrics required to manage a software project.
- Describe the strengths and weaknesses of software estimation and metrics techniques.
- Define historical data to be captured at project closure.
- Manage change effectively for software projects.
- Monitor and report on project progress.
- Work in teams becoming project managers for a fictional company to address real-world software project problems as:
- Describe how lifecycle model can impact a project’s estimates?
- Provide size, schedule & cost estimate to support user requirements and project charter.
- Provide recommendation for managing change & ‘scope creep’ for the Viking project (strengths and weaknesses of your recommendation).
- Define a key software project or product metric using either Westfall’s 7 Steps or Basili’s GQM approach.
- List and describe 3 – 5 key measurements to monitor and control how software is built, tested and released, and describe how to use them.
- Describe the project's current status, and risks using earned value data.
- List software development lifecycle model recommended for the project, along with the strengths and weaknesses model.
Rapid Development by Steve McConnell, Microsoft Press, 1996.
Lecture 1: Software is Different and Difficult
Lecture 2: Planning & Estimation - Historical Data
Lecture 3: Planning & Estimation - Parametric Estimates
Lecture 4: Planning & Estimation - Wideband Delphi
Lecture 5: Managing Project Change
Lecture 6: Project Monitoring & Reporting
Lecture 7: Measurement - Overview & Staffing
Lecture 8: Measurement - Change and Build, Test & Release
Lecture 9: Measurement - Earned Value
Lecture 10: Measurement - Defects, Project Closure & Historical Data
Lecture 11: Measurement - Methodologies, Common Mistakes