Practical software project estimation : a toolkit for estimating software development effort & duration /

Helping you deploy and manage high-performance data transformation solutions across your enterprise; this step-by-step guide explains the tools and methods necessary to extract conclusive business intelligence from disparate corporate data.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: International Software Benchmarking Standards Group
Otros Autores: Hill, Peter R., Rinaldi, Wendy, Jue, Jan, Splan, Claire
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, N.Y. : McGraw-Hill Education, [2011]
Edición:First edition.
Colección:McGraw-Hill's AccessEngineering.
Temas:
International Software Benchmarking Standards Group.
Computer software > Development > Estimates.
Computer software > Development > Costs.
Project management > Data processing.
Electronic books.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Note continued: Scope Management
  • Summary
  • ISBSG Regression Equation Tables
  • Using the ISBSG Regression Equations
  • Creating Graphs from the Equations
  • Example Effort Estimate Using the Equations
  • Summary
  • Using the Comparison Technique
  • Summary
  • Background: Reasoning by Analogy
  • Estimating by Analogy
  • Advantages of Estimating by Analogy
  • Drawbacks of Estimating by Analogy
  • Summary
  • Work Breakdown Structure: Introduction
  • Using Process Models for Micro-Estimation
  • Summary
  • Subsets Implemented Utilizing Different Technologies
  • Code and Reference Tables
  • Subsets Characterized by Technical or Other Complexities
  • Reused Code
  • Summary
  • Use of an Organization's Own Experience Data
  • Use of the ISBSG Data
  • ISBSG Repository
  • Guidelines for Use of the ISBSG Data
  • Presentation of Statistics
  • Using Several Estimation Approaches
  • Summary
  • Case Study: A Student and Staff Records Management System (SSRM)
  • Overview
  • Functional Size Measurement
  • Project Work Effort and Duration Estimates
  • Example 1: Estimating Using Regression Equations
  • Using Regression Equations to Generate Estimates for SSRM
  • Regression Equations: Functional Size
  • Regression Equations: Functional Size and Maximum Team Size
  • Discussion
  • Example 2: Estimating Using Comparison
  • Estimating by Comparison Technique
  • Using Estimating by Comparison to Generate Estimates for SSRM
  • Discussion
  • Example 3: Estimating Using Analogy
  • Estimating by Analogy Technique
  • Using Estimating by Analogy to Generate Estimates for SSRM
  • Discussion
  • Summary
  • Estimating an Agile Project
  • Story Points
  • Story Point Scale
  • Calibrating the Story Point Scale Using Past Projects
  • Development Team Velocity
  • Allocating Story Points to Stories
  • Estimating Total Project Schedule and Cost at Project Initiation. Note continued: Allocating Stories to Individual Project Iterations
  • Reviewing the Process at Project Completion
  • Benefits of Agile Software Estimation Using Story Points
  • Comparing Story Points and Function Points
  • Summary
  • Hourly Charge-Out Rate
  • Internal Project: Building Software for Your Own Organization
  • External Project: Building Software for an External Organization
  • Refining Hourly Charge-Out Rate for Project Team Structure
  • Indexing the Charge-Out Rate for Inflation and Currency Movements
  • Additional Cost Considerations
  • Costing Activities Outside Project Development Tasks
  • Costing Effort Contributed by Personnel Not Included in the PDR
  • Summary
  • Additional Steps to Calculate Non-PDR-Related Project Costs
  • Using the ISBSG PDR Tables to Create Tables for Your Estimating Framework
  • Step 1. Identify the Development Platforms
  • Step 2. Extract PDR Distributions Based on Development Languages
  • Step 3. Adjust the Extracted PDR Distributions According to Team Size
  • Step 4. Benchmarking Your Projects' PDR
  • Step 5. Construct the Estimation Framework
  • Estimates Are Targets, Not Predictions
  • Calculating a Benchmark Estimate for a Planned Project
  • Step 1. Adjust PDR for Team Size
  • Step 2. Adjust PDR for Project Size
  • Step 3. Adjust PDR for Development Language
  • Step 4. Calculate Effort Estimate and Consider the Range of Probable Values
  • Summary
  • How Many FSM Methods Are There?
  • Which FSM Method Should I Choose?
  • How Hard Is It to Measure Functional Size?
  • What Sort of Accuracy Can I Expect from an FSM Measurement?
  • Value of FSM as a Size Measurement
  • Summary
  • ISO/IEC Definitions
  • What Is Functional Size?
  • Analogies to Illustrate Functional Sizing
  • Key to Functional Size Measurement Is to "Think Logical"
  • Counting in FSM: An Example Using IFPUG Function Points
  • IFPUG Function Point Components. Note continued: What Is Involved in IFPUG Function Point Counting?
  • Logical Boundary
  • Where Does Functional Size Fit in with the ISBSG and Software Project Estimating?
  • Summary
  • New Development Case Study
  • Sample Set of User Requirements
  • Functional User Requirements
  • Functional Size Measurement Using ISO/IEC 20926: 2009 [--] IFPUG 4.3
  • Determining the Functional Size
  • Enhancement Case Study
  • Sample Set of User Requirements
  • Functional User Requirements
  • Types of Functional. Size
  • Summary
  • Overview of the COSMIC Functional Size Measurement Method
  • Applicability of the Method
  • Principles for Measuring the COSMIC Functional Size of a Piece of Software
  • Process for Measuring the COSMIC Functional Size of a Piece of Software
  • COSMIC Method Documentation
  • Summary
  • Analysis of the Size of the New Software to Be Developed
  • Analysis of the Size of the Enhancement to the Software
  • Overall Size of the Software After the Enhancement
  • Summary
  • Size Measurement of the New Software to Be Developed
  • Size Measurement of the Enhancement to the Software
  • Overall Size of the Software After the Enhancement
  • Summary
  • Data Availability
  • Data Quality
  • What the ISBSG Data Can Be Used For
  • Considerations
  • ISBSG Project Data Positioning
  • Comparing Apples with Apples
  • Selecting a Suitable Data Subset
  • What You Can Find in the ISBSG Repository
  • Project Origin
  • Project Context
  • Type of Project
  • Type of Product
  • Development Environment
  • Methods and Tools
  • Summary
  • Additional Documentation
  • Presentation of Statistics
  • Explanation of Tables
  • Use of the Statistics
  • Project Delivery Rates
  • Project Delivery Rate by Use of CASE Tools
  • Project Delivery Rate by Use of Methodology
  • Project Delivery Rate by Relationship Between Customer, Developers, Users. Note continued: Project Delivery Rate by Project Size
  • Project Delivery Rate by Maximum Team Size
  • Impact of Maximum Team Size and Project Size on Project Delivery Rate
  • What Are These Estimates Based On?
  • Which Equation(s) Should You Use?
  • Do These Equations Apply to My Project?
  • What Do the Statistics Mean?
  • How to Submit a Project
  • Description of the Project Benchmark Report
  • Terms
  • Metrics.

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