Galorath / Evans Software Sizing, Estimation, and Risk Management

When Performance is Measured Performance Improves
1. Auflage 2006
ISBN: 978-1-4200-1312-2
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 576 Seiten

To achieve consistent software project success under the pressures of today's software development environment, software organizations require achievable plans including viable estimates of schedule, resources, and risks. To estimate realistically, you must understand how to apply sound estimation processes, tools, and data.

Software Sizing, Estimation, and Risk Management: When Performance is Measured Performance Improves is a practical, hands-on discussion of the software estimation, planning, and control process. This includes critical factors that impact estimates, methods for selecting and applying appropriate measures to projects, proper software sizing, and processes to identify and manage risk. The authors use their expertise in sizing, estimation, process engineering, and risk management to clearly demonstrate problems that make many estimates crumble and solutions that provide successful project plans. The book offers insight not available anywhere else, enabling you to recognize and avoid downstream impacts resulting from poor estimates.

Zielgruppe

Software engineers, software developers, and project managers.

Autoren/Hrsg.

Galorath, Daniel D.

Evans, Michael W.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

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