Product Metrics and ROI

Course: PMR

Duration: 4 Days

Level: I

Course Summary

The modern field of software metrics emerged from the computer modeling and "statistical thinking" services of the 1980s. As the field evolved, metrics programs were integrated with project management, and metrics grew to be a major tool in the managerial decision-making process of software companies. This course simplifies software measurement and explains its value as a tool for decision-makers on software products. Techniques presented in Software Metrics: A Guide to Planning, Analysis, and Application are derived from best practices. The ideas are field-proven, down-to-earth, and straightforward, making it an invaluable resource for those striving for process improvement. This course helps students enrich their knowledge of measurements, analysis, and best practices, and demonstrates how ordinary analysis techniques can be applied to achieve extraordinary results and return on investment. Easy-to-understand tools and techniques show how metrics create models that are indispensable to decision-making in the software industry and cost justification.

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Topics Covered In This Course

Chapter 1: Software Measurement with ROI implications

A New Order
Measurement in Quality Thinking
Precision in Expression
Representation of Reality
Knowledge Creation
Measurement Technology
Measuring With the Mind: Cognitive Phase
Measuring With Words: Semantic Phase
Measuring With Numbers: Quantitative Phase
The Three Phases Coexist
Measurement Scales
Levels of Measurements
Intrinsic Nature of Measurement
Software Measuring Instruments
Measurement Continuum
The Corner Stone

Chapter 2: Software Metrics

Metrics Mapping
Simple Metrics
Complex Metrics
Metrics Are Organization Specific
Importance of Estimation and Planning In the Context of Metrics
Metrics Vocabulary
Guidelines from Quality Standards
Applying Software Metrics: A Management Perspective
Benefits of Metrics

Chapter 3: Designing a Metrics System and ROI definition

Metrics System
Information-Based Metrics Architecture
Goals: The Drivers
Decision Centers: The New Organization
Models: Knowledge Capsules
Metrics: Indicators Signals
Measurement: Sensor System
Data Collection
Implementing the Metrics System Architecture
Metrics Planning Approaches
Metrics Planning Document Checklist

Chapter 4: Metrics Data Visualization

Data Analysis
Graphical Analysis
Visualizing Data
Graphical Techniques
Pie Charts: Distribution Analysis
Mapping
Life Cycle Profiles
Effort Profile
Process Compliance Profile
Responsibility Matrix
Resource Balancing
Contours
Radar Charts: A Balanced View
Dynamic Views
Clustering
Data Exploration and Visualization Tools
Data Visualization: Emerging Technology

Chapter 5: Metrics Data Analysis in Frequency Domain

Frequency Distribution: An Analysis Tool
Normal Distribution
Bias: A Process Reality
Deriving Frequency Distribution from Data
Looking At Histograms
Process Capability from Frequency Distribution
Probability
Process Diagnosis

Chapter 6: Metrics Data Analysis in Time Domain

Viewing in Time
Temporal Patterns in Metrics
Process Characterization
Control Charts
Special Forms
Control Chart for Effective Application
Modernism in Process Control: Decision Support Charts

Chapter 7: Metrics Data Analysis in the Relationship Domain

A Fertile Domain
Search for Relationships
Perceiving Relationships
Strength of Relationship: Correlation Coefficient
Causal Relationship and Statistical Correlation
Linear Regression
Linear Regression: Example
Nonlinear Regression Models
Nonlinear Regression Analysis of Productivity
Multiple Linear Regressions
Surface Plot
Regression Model Application
Application 1: Process Optimization
Application 2: Forecasting Product Quality
Application 3: Defect Correlation
Application 4: Causal Analysis
Application 5: Demonstrating How Review Makes Customers Happy (Indirectly)
Application 6: A Myth Breaks
Application 7: The Crossover
Application 8: Optimum Team Size?
Application 9: Detecting Hidden Problems
Application 10: Analysis of Defect Discovery Economics
Application 11: Building an Effort Estimation Model
Application 12: Calibration of Intuitive Models
More Applications

Chapter 8: Process Models

From Analysis to Systems Thinking
Model Building: Knowledge Consolidation
Models Using Single Metric (Analytical Models)
Models Using Two Metrics (Regression Models)
Higher-Level Empirical Models
Descriptive Statistics on Multiple Metrics
Multiple Analyses of Single Metrics
Three Analytical Dimensions
Process Diagnostic Panel
Analytical Summary of Single Metric
Global Summary
Process Correlations
Multiple Scatter Plots
Design of Experiment (DOE)

Chapter 9: Estimation Models

Estimation Process
Software Estimation Risks
Estimation Methodologies
Delphi Estimate
Golden Rule
Prediction Capability
Prediction Equations
Estimation Algorithms
Estimation Science: The Early Models
Advent of Parametric Models
Calibration
COCOMO
Lookup Table
Equations
COCOMO II.2000 Applications
Tailoring COCOMO
Estimation System
SLIM (Software Life Cycle Management)
SLIM-Estimate
Software Sizing Tools
Estimation Tools

Chapter 10: Metrics for Defect Management

Defect Measurement
Defect Classification
Defect Database
Analysis of Defect Data
Defect Correlation
Defect Driver Matrix
Looking for Consistency
Defect Filter Matrix
Defect Detection Probability
Rayleigh Defect Discovery Model
Three Phases of Reliability Measurement
Reliability Enhancement
Home-Grown Model
Quantitative Defect Management

Chapter 11: Online Use of Metrics

The Challenge
Metrics Intelligence
Metrics Synchronization
Milestone Diary (MSD)
Earned Value Model
Extended Milestone Diary
Responding to Metrics
Discovering The Factory within the Factory
Few Data: Sharp Focus
Choice of Online Metrics
Benefits of Online Metrics

Chapter 12: Metrics-Based Decision Support Systems

Two Systems
The Humble Beginning
Advent of Software Management Tools
Birth of Process Databases
Enterprise Integration
Process Intelligence
A Symbiotic Dependence
An Economic Alternative: Metrics-Based Decision Support Systems (DSS)

Chapter 13: Metrics for Strategic Vision with ROI Emphasis

Beyond the Obvious
Metrics in Project Management
Tailoring Metrics for the Project
Setting Quantitative Goals: Goal?Metrics Correlation (GMC)
GMC Analysis
Quality Function Deployment (QFD)
Risk Estimation
Simulating Schedule Risk
Mapping Risk Using Risk Exposure Number
Analysis of REN
Six Sigma Renaissance
Consummate Vision

Chapter 14: Metrics System Implementation and ROI

Toward Truth
No Universal Method
Effective Use of Metrics
Looking At Metrics Data
Applying Metrics
Creating Decision Centers
Equip People with Knowledge At Less Cost
The Marvelous Spreadsheet
Things to Remember During Implementation
Lead With Numbers
Integrated Management
Mirror, Microscope, and Telescope
Unlimited Scope

What You Can Expect

At the end of this course, students will be able to:

Measure Software deliverables
Understand the benefits of metrics
Create charts and graphs to show measurements
Work with time related measurements
Work with process models
Create estimation models
Manage defects
Calculate ROI(Return on investment)

Who Should Take This Course

This course is designed for Software Developers, Testers, Analysts, and Managers

Training Style

Instructor led with 50% lecture and 50% lab.

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Every student attending a Verhoef Training class will receive a certificate good for $100 toward their next public class taken within a year.

You can also buy "Verhoef Vouchers" to get a discounted rate for a single student in any of our public or web-based classes. Contact your account manager or our sales office for details.

Schedule For This Course
There are currently no public sessions scheduled for this course. We can schedule a private class for your organization just a couple of weeks from now. Or we can let you know the next time we do schedule a public session.

Notify me the next time this course is confirmed!

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