• Describe the importance of measurement for software projects
• Select the appropriate chart type to present data most effectively
• Define processes and describe process characteristics
• Define their own metrics and collect and analyze the relevant data, build measure and analyze their own processes
• Manage project risk using data
• Communicate project status to stakeholders using data
• Capture and use historical data

Module 1: Introduction to software measurement and analysis

• Value of software to business
• Role of the software engineer
• Why, what, how we measure?
• Key stakeholder perspectives
• What is measurement?
• Direct and indirect measures
• Subjective measures
• What is data?
• Data presentation

Module 2: Software metrics and process & methodology

• What is a software measurement plan?
• Steps for implementing a software measurement program
• Goal-question-metric (GQM)
• Measurement principles
• Processes and methodologies
• Methodology differences
• Measuring methodologies

Module 3: Scheduling measurement and analysis

• What is a schedule (traditional projects)?
• How to check for schedule errors
• Why create a baseline?
• Agile differences

Module 4: Productivity measurement and analysis

• Productivity goals
• Productivity defined
• Measuring productivity is difficult
• Recommendations
• Software productivity drivers
• Laws of software productivity

Module 5: Budget and Earned Value measurement and analysis

• What is a budget?
• What are resources?
• Budgeting functions
• Budget types and budgeting approaches
• Additional financial tools
• What is earned value
• Earned value steps
• Earned value terminology

Module 6: Quality measurement and analysis

• Defining software quality
• Stakeholder perspectives
• Traditional software requirements measures
• Quality dimensions
• m.a.r.t quality goals
• Software quality management process

Module 7: Risk management

• What is a risk?
• Levels of risk management
• Types of risks
• Element of risk management
• How to document a risk?
• Reporting project risks
• Communicating risks

Module 8: Change management

• Why manage change?
• What do we mean by change?
• Change alternatives
• How to manage change?
• Avoiding common problems

Module 9: Customer satisfaction

• What is ‘Done’, ‘Quality’, and ‘Success’?
• Cost to attract new customers
• Agile versus traditional
• Measuring satisfaction and goals
• Responsibilities
• Best practices

Module 10: Estimation and historical data

• Estimating goals
• Estimation methods
• Estimation using historical data
• Agile estimation

Module 11: Communicating with stakeholders

• Stakeholders
• Develop a project communication plan
• Status reporting
• Dashboards
• Negotiating with stakeholders
• Estimates versus commitments

Module 12: Experimenting and Pitfalls

• What is the experimenting?
• Data collection
• Measurement process
• What is good data
• Obstacles
• Benchmarking
• Common measurement pitfalls

This course is intended for those as below:

• IT/Software Manager
• IT/Project Manager
• Quality Assurance Manager
• Quality Assurance Engineer
• IT/Software Engineer
• Any one who interested in Measurement and Analysis

Class training methods  
Values

• CUSTOMISED: Our tailor-made solutions are in line with your business goals, drawing on best practices and proven approaches
• RESULT-ORIENTED: Our primary objective is the enhancement of business results through continuous evaluation for maintaining focus and accountability
• COST-EFFECTIVE: Our customized and simple solutions are highly cost-effective
• TARGETED: We use a combination of approaches and techniques to meet the objectives of our individual clients and organizational needs
• PROCESS-ORIENTED: Our training programs are process focused, not process bound. We apply standard tools for process streamlining
• IMPROVEMENT FOCUSED: Our techniques involve robust evaluation, open and honest communication and on-going process upgrading for continuous improvement.
• IMPACTFUL: Our experts leverage powerful solutions that can deliver the right impetus to your business

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