Software Sizing, Estimation, and Risk Management: When Performance is Measured Performance Improves
Daniel D. Galorath, Michael W. Evans · Medical Entomology and Zoology · 2006
The Problem Introduction Focus of the Book Why Software Projects Fail Why Software Projects Fail: Problems with Estimation Why Software Projects Fail: Size Estimates Why Estimates Fail Historical Data Overly Optimistic Leadership and Management Role of Risk Management in Estimating The Solution: Software Estimation - Ten-Step Process Introduction to Software Estimation Techniques and Estimate Planning Introduction and Chapter Goals Need for Efficient Software Project Management Metrics Core Metrics Categories Software Project Estimates: Foundations of Software Project Management Software Estimation Concepts Project Estimation Process Interview with Judy Galorath Software Data Collection Process Software Data Collection Lessons Learned Prioritizing Estimation Effort Executing the Estimate Introduction and Chapter Goal Step Four: Software Sizing Step Five: Prepare Baseline Estimate Step Six: Quantify Risks and Risk Analysis Planning and Controlling the Project via the Estimate Introduction Step Seven: Estimate Validation and Review Estimate Process Questionnaire Step Eight: Generate Project Plan Step Nine: Document Estimate and Lessons Learned Step Ten: Track Project throughout Development Refining Estimates throughout Project Source Lines of Code Introduction Terminology and Definitions SLOC Realities and Risks Using SLOC Logical SLOC Counting Details Logical SLOC Detailed Definitions Finding Automated Code Counters for Existing Systems Pros and Cons of SLOC Summary SEI Checklist Codes for Various Programming Languages Function-Based Sizing Introduction Origins and History of Functional Metrics ISO Involvement International Function Point User Group Counting Standards: Basic Process Definition IFPUG Definitions IFPUG Steps SEER-Function-Based Sizing (SEER-FBS) Effective Function Points Analysis of Function Point Rules in Tree-Based Framework23 Pros and Cons of Function Points Function Point Risk Management Function Point Counting Risk Checklist Object-Oriented Sizing: Object and Use-Case Sizing Introduction Background of Object-Oriented Design Overview of Object-Oriented Techniques Calculation of Unadjusted Use-Case Points Risk Associated with Object-Oriented Projects Software Reuse and Commercial Off-the-Shelf Software Introduction Reusable Software Integrating Commercial Off-the-Shelf Software Case Studies: Real-World Experiences with COTS Evaluating and Estimating COTS Estimating COTS Integration Evaluation and Selection of COTS Products COTS Risks Risk Reduction Risks Associated with Reuse and COTS Performing to Estimate: Managing and Monitoring Development Introduction Metric Reporting Metrics Sets Productivity Monitoring Using Earned Value Management Risk Management Process Introduction History of Risk Management Risks versus Problems Risk Management Success Factors Essential Risk Management Definitions Introduction to Risk Management Concepts Seven Steps to Risk Management Step 1: Establish Risk Policy, Obtain Commitment to Manage Risk, and Develop Plan Basic Risk Management Rules Risk Analysis Viewed as Uncertainty Analysis Applying SEER-SEM to Estimation Processes Introduction to SEER-SEM Project Manager Edition Tools Details and Uses Summary Input and Output Definitions SEER-SEM Concept SEER-SEM Sizing Applying SEER-SEM Project Manager Edition to the Estimation Process Manual Sizing Automated Sizing with SEER-AccuScope Choosing Knowledge Bases for Reuse Estimation Using SEER Function-Based Sizing for Size Estimates Using Number of Programs Included in Size SEER-SEM Estimation Process Step 10: Track Project SEER-SEM Internals SEER-SEM Parameter Definitions SEER-SEM Solutions for Project Management and Control Introduction CMMI Process Areas for Project Management Implementing Planning and Control Process with SEER-PPMC Earned Value Metrics and Calculations Used in SEER-PPMC