|
|
|
|
LEADER |
00000nam a2200000 i 4500 |
001 |
MGH_AEccn00337442 |
003 |
IN-ChSCO |
005 |
20210416124538.0 |
006 |
m||||||||||||||||| |
007 |
cr |n||||||||n |
008 |
210416s2011||||nyu|||||o|||||||||||eng|| |
010 |
|
|
|z 2010030530
|
020 |
|
|
|a 0071776303
|
020 |
|
|
|a 0071717919 (print-ISBN)
|
020 |
|
|
|a 9780071717915
|
035 |
|
|
|a (OCoLC)489010536
|
040 |
|
|
|a IN-ChSCO
|b eng
|e rda
|
041 |
0 |
|
|a eng
|
050 |
|
4 |
|a QA76.76.D47
|
082 |
0 |
4 |
|a 005.1
|2 22
|
245 |
0 |
0 |
|a Practical software project estimation :
|b a toolkit for estimating software development effort & duration /
|c International Software Benchmarking Standards Group ; compiled and edited by Peter R. Hill.
|
250 |
|
|
|a First edition.
|
264 |
|
1 |
|a New York, N.Y. :
|b McGraw-Hill Education,
|c [2011]
|
264 |
|
4 |
|c ?2011
|
300 |
|
|
|a 1 online resource (xxii, 289 pages) :
|b illustrations.
|
336 |
|
|
|a text
|2 rdacontent
|
337 |
|
|
|a computer
|2 rdamedia
|
338 |
|
|
|a online resource
|2 rdacarrier
|
490 |
1 |
|
|a McGraw-Hill's AccessEngineering
|
500 |
|
|
|a Print version c2011.
|
504 |
|
|
|a Includes bibliographical references and index.
|
505 |
0 |
|
|a 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.
|
520 |
0 |
|
|a 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.
|
530 |
|
|
|a Also available in print edition.
|
533 |
|
|
|a Electronic reproduction.
|b New York, N.Y. :
|c McGraw Hill,
|d 2011.
|n Mode of access: World Wide Web.
|n System requirements: Web browser.
|n Access may be restricted to users at subscribing institutions.
|
538 |
|
|
|a Mode of access: Internet via World Wide Web.
|
546 |
|
|
|a In English.
|
588 |
|
|
|a Description based on cover image and table of contents, viewed on July 27, 2011.
|
610 |
2 |
0 |
|a International Software Benchmarking Standards Group.
|
650 |
|
0 |
|a Computer software
|x Development
|x Estimates.
|
650 |
|
0 |
|a Computer software
|x Development
|x Costs.
|
650 |
|
0 |
|a Project management
|x Data processing.
|
655 |
|
0 |
|a Electronic books.
|
700 |
1 |
|
|a Hill, Peter R.
|
700 |
1 |
|
|a Rinaldi, Wendy.
|
700 |
1 |
|
|a Jue, Jan.
|
700 |
1 |
|
|a Splan, Claire.
|
710 |
2 |
|
|a International Software Benchmarking Standards Group.
|
740 |
0 |
2 |
|a Project estimation: background, concepts, and approaches.
|
740 |
0 |
2 |
|a Factors that influence productivity.
|
740 |
0 |
2 |
|a Software estimates: how accurate are they?
|
740 |
0 |
2 |
|a SING software and size-approximation accuracy.
|
740 |
0 |
2 |
|a Some practical software size approximation techniques.
|
740 |
0 |
2 |
|a Problem of missing functionality.
|
740 |
0 |
2 |
|a Estimating using equations.
|
740 |
0 |
2 |
|a Estimating using comparison.
|
740 |
0 |
2 |
|a Estimating using analogy.
|
740 |
0 |
2 |
|a Estimating using work breakdown structure.
|
740 |
0 |
2 |
|a How do I estimate a project comprising varying components?.
|
740 |
0 |
2 |
|a Using project history databases.
|
740 |
0 |
2 |
|a Project estimation using the ISBSG repository.
|
740 |
0 |
2 |
|a Estimating for agile software development.
|
740 |
0 |
2 |
|a Guide to estimating project cost using ISBSG data.
|
740 |
0 |
2 |
|a Creating a software project estimation framework using the ISBSG repository.
|
740 |
0 |
2 |
|a Functional size measurement methods in use today.
|
740 |
0 |
2 |
|a Brief tutorial on functional size measurement (FSM).
|
740 |
0 |
2 |
|a IFPUG function point case study.
|
740 |
0 |
2 |
|a Cosmic functional size measurement method.
|
740 |
0 |
2 |
|a Cosmic function point case study.
|
740 |
0 |
2 |
|a FISMA function point case study.
|
776 |
0 |
|
|i Print version:
|t Practical software project estimation : a toolkit for estimating software development effort & duration.
|b First edition.
|d New York, N.Y. : McGraw-Hill Education, 2011
|w (OCoLC)669514421
|
830 |
|
0 |
|a McGraw-Hill's AccessEngineering.
|
856 |
4 |
0 |
|u https://accessengineeringlibrary.uam.elogim.com/content/book/9780071717915
|z Texto completo
|
997 |
|
|
|a (c)2011 Cassidy Cataloguing Services, Inc.
|