Applied Software Measurement Global Analysis of Productivity and Quality

by Jones, Capers

• ISBN13: 9780071502443
• ISBN10: 0071502440
• Edition: 3rd
• Format: Paperback
• Copyright: 2008-05-02
• Publisher: McGraw Hill

Summary

New coverage of: Extreme Programming (XP); Enterprise Resource Planning (ERP); Object technology; client/server architecture; multimedia; software reusability; reengineering and outsourcing; Sarbanes-Oxley

Author Biography

Capers Jones is a renowned author, consultant, and speaker. He was the founder and chairman of Software Productivity Research (SPR), where he retains the title of Chief Scientist Emeritus. Jones is the author of Estimating Software Costs, Second Edition.

Table of Contents

Foreword	p. xiii
Preface to the Third Edition	p. xvii
Acknowledgments	p. xxxi
Introduction	p. 1
Applied Software Measurement	p. 2
Planning and Estimation	p. 3
Management and Technical Staffs	p. 4
Organization Structures	p. 4
Methodologies and Tools	p. 4
The Office Environment	p. 5
Reusability	p. 5
The Essential Aspects of Applied Software Measurement	p. 6
What Do Companies Measure?	p. 17
Benchmarks and Industry Measures	p. 22
Measurement and the Software Life Cycle	p. 44
The Structure of a Full Applied Software Measurement System	p. 48
The Sociology of Software Measurement	p. 53
The Sociology of Data Confidentiality	p. 54
The Sociology of Using Data for Staff Performance Targets	p. 55
The Sociology of Measuring One-Person Projects	p. 56
The Sociology of MIS vs. Systems Software	p. 57
The Sociology of Measurement Expertise	p. 57
Justifying and Building an Applied Software Measurement Function	p. 58
Applied Software Measurement and Future Progress	p. 66
Suggested Readings	p. 67
Additional Readings on Software Measurement and Metrics	p. 68
The History and Evolution of Software Metrics	p. 71
Evolution of the Software Industry and Evolution of Software Measurements	p. 72
The Cost of Counting Function Point Metrics	p. 78
The Paradox of Reversed Productivity for High-Level Languages	p. 87
The Varieties of Functional Metrics Circa 2008	p. 104
Variations in Application Size and Productivity Rates	p. 159
Future Technical Developments in Functional Metrics	p. 164
Summary of and Conclusions About Functional Metrics	p. 172
Software Measures and Metrics Not Based on Function Points	p. 173
Suggested Readings on Measures and Metrics	p. 182
United States Averages for Software Productivity and Quality	p. 185
Sources of Possible Errors in the Data	p. 190
Significant Software Technology Changes Between 1990 and 2008	p. 226
Changes in the Structure, Format, and Contents of the Third Edition	p. 244
Variations in Software Development Practices Among Seven Sub-Industries	p. 256
Ranges, Averages, and Variances in Software Productivity	p. 268
The Impact of Technology on Software Productivity and Quality Levels	p. 322
Technology Warnings and Counterindications	p. 342
Using Function Point Metrics to Set "Best in Class" Targets	p. 344
The Mechanics of Measurement: Building a Baseline	p. 351
Software Assessments	p. 352
Software Baselines	p. 356
Software Benchmarks	p. 357
What a Baseline Analysis Covers	p. 378
Developing or Acquiring a Baseline Data Collection Instrument	p. 380
Administering the Data Collection Questionnaire	p. 383
Analysis and Aggregation of the Baseline Data	p. 430
Suggested Readings	p. 431
Additional Readings	p. 431
Measuring Software Quality and User Satisfaction	p. 433
New Quality Information Since the Earlier Editions	p. 437
Quality Control and International Competition	p. 451
Defining Quality for Measurement and Estimation	p. 454
Five Steps to Software Quality Control	p. 458
Software Quality Control in the United States	p. 460
Measuring Software Defect Removal	p. 471
Measuring Defect Removal Efficiency	p. 475
Finding and Eliminating Error-Prone Modules	p. 480
Using Metrics to Evaluate Test-Case Coverage	p. 481
Using Metrics for Reliability Prediction	p. 482
Measuring the Costs of Defect Removal	p. 483
Evaluating Defect Prevention Methods	p. 487
Measuring Customer-Reported Defects	p. 488
Measuring Invalid Defects, Duplicate Defects, and Special Cases	p. 491
Measuring User Satisfaction	p. 492
Combining User Satisfaction and Defect Data	p. 499
Summary and Conclusions	p. 501
Reading List	p. 501
Suggested Readings	p. 507
Additional References on Software Quality and Quality Measurements	p. 507
Measurements, Metrics, and Industry Leadership	p. 509
What Do Companies Measure?	p. 511
Measures and Metrics of Industry Leaders	p. 529
Measures, Metrics, and Innovation	p. 532
Measurements, Metrics, and Outsource Litigation	p. 535
Measurements, Metrics, and Behavioral Changes	p. 536
Topics Outside the Scope of Current Measurements	p. 542
Cautions Against Simplistic and Hazardous Measures and Metrics	p. 543
Commercial Software Measurement Tools	p. 546
Summary and Conclusions	p. 547
Suggested Readings on Measurement and Metrics	p. 548
Summary of Problems in Software Measurement	p. 549
Synthetic vs. Natural Metrics	p. 550
Ambiguity in Defining the Nature, Scope, Class, and Type of Software	p. 552
Ambiguity in Defining and Measuring the Activities and Tasks of Software Projects	p. 561
False Advertising and Fraudulent Productivity Claims	p. 564
The Absence of Project Demographic and Occupation Group Measurement	p. 566
Ambiguity in the Span of Control and Organizational Measurements	p. 567
The Missing Link of Measurement: When Do Projects Start?	p. 568
Ambiguity in Measuring Milestones, Schedules, Overlap, and Schedule Slippage	p. 568
Problems with Overlapping Activities	p. 573
Leakage from Software Project Resource Tracking Data	p. 573
Ambiguity in Standard Time Metrics	p. 575
Inadequate Undergraduate and Graduate Training in Software Measurement and Metrics	p. 578
Inadequate Standards for Software Measurement	p. 579
Lack of Standardization of "Lines of Source Code" Metrics	p. 580
The Hazards and Problems of Ratios and Percentages	p. 589
Ambiguity in Measuring Development or Delivery Productivity	p. 590
Ambiguity in Measuring Complexity	p. 593
Ambiguity in Functional Metrics	p. 594
Ambiguity in Quality Metrics	p. 599
Ambiguity with the Defects per KLOC Metric	p. 599
Ambiguity with the Cost per Defect Metric	p. 600
Failure to Measure Defect Potentials and Defect Removal Efficiency	p. 602
The Problems of Measuring the Impact of "Soft" Factors	p. 603
Problems in Measuring Software Value	p. 607
Lack of Effective Measurement and Metrics Automation	p. 609
Social and Political Resistance to Software Measurements	p. 617
Ambiguity in Software Measurement and Metrics Terminology	p. 620
Failure to Use Metrics for Establishing Goals and Targets	p. 624
Summary and Conclusions	p. 629
Suggested Readings	p. 630
Additional References on Software Measurements	p. 632
Rules for Counting Procedural Source Code	p. 635
Project Source Code Counting Rules	p. 637
General Rules for Counting Code Within Applications	p. 639
Examples of the SPR Source Code Counting Rules	p. 640
Software Productivity Research COBOL-Counting Rules	p. 642
Index	p. 645
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