Automated Software Performance Book

	Preface	vii
	Acknowledgments	ix
1.	Measuring All the Things That Computers Manage	1
	Things Computers Must Measure in Order to Manage Themselves	1
	Basic Functions Common to All Computer Operating Systems	2
	Metrics Associated with Basic Computer Operating System Functions	3
	Operating Systems as the Silent Supervisors of Computer Systems	3
	How Operating Systems Log Their Data Processing Activities	4
	How Business Operations Use Computer Operating System Log Data	6
	Linking Operating System Log Data to Lower Business Process Cost	8
	Elimination of a Bottleneck in Completing a Critical Process	10
	Finding Resource-Intensive Programs in Routinely Processed Jobs	11
	Reducing the Volume of Input/Output for Blocked Datasets	13
	Finding Dominant Cause of Repeated Program Abend Dumps	16
	Notifying Programmers of Other Programmers' Changes to JCL	17
	Verifying System Development Projects Are Still on Schedule	18
	Eliminating Delay in Loading an Online Database for Update	18
	Finding Excessive Paper Usage and Optimizing of Reports	20
	Identifying the Savings Potential from a New Storage Device	20
	Eliminating Excessive Tape-Waits for Critical Datasets	20
	Customer Demographic Survey and Technology Needs Assessment	21
	Finding Customer Areas That Need Attention to Terminal Needs	21
	How to Capture and Accumulate System Audit Log Data	22
	System Accounting Standards Needed for Software Metric Automation	38
2.	Vendor Products That Manage Software Quality Measurement Data	41
	Vendor System Log Performance Data Administration Product: MXG	42
	Vendor System Performance Database Management Product: MICS	57
3.	Turning Software Failures Into Systematic Success	79
	How Computers Know When Something Has Gone Wrong	79
	What Kinds of Problems Can Operating Systems Detect?	82
	Measuring and Controlling Catastrophic System Failures	83
	Measuring Levels of System Fault Tolerance	85
	Measuring the Impact of Human Errors	90
	Customizing Error Codes to Log Special Program Actions	91
	Determining the Cost of Software Errors	93
	Predicting Software Failure Rates for Managing Impact of Errors	94
	Isolating the Impact of Software Failures	96
4.	Vendor Products that Help Manage Software Errors	101
	Vendor Application Program Failure Analysis Product: ABEND-AID	101
	Vendor Application Program Efficiency Optimizer Product: Strobe	112
5.	Getting to the Source of Your Software Quality	129
	How Programs Get Executed by Computer Operating Systems	129
	High-Level Language Coding Interpretation by Operating Systems	130
	How Compilers and Interpreters Measure Program Characteristics	134
	How System Logs Measure Execution of Program Modules	134
	Measuring the Size of High-Level Program Modules	135
	High-Level Program Library Archival and Sourcecode Storage	144
	Measuring Functional Compliexity of Application Program Modules	145
	Standardizing Program Sourcecode for Maximum Efficiency	146
	Benchmarking and Baseline Comparison of Application Software	151
6.	Vendor Products that Help Measure Program Sourcecode	153
	Vendor Product to Measure Program Sourcecode Quality: Q/AUDITOR	153
	Vendor Product to Help Measure Program Source Objects: FILE-AID	162
7.	Sizing Up Your Software Against the Competition	169
	Software Industry Databases and Comparative Information Sources	170
	Vendor Software Performance Benchmarks and Calibration Methods	172
	Productivity Indexes and Software Industry Quality Baselines	173
	Business Process Benchmarks and Business Unit Comparisons	174
	Process Benchmark Index for Comparison to External Business Units	180
	Forecasting Future Internal and External Software Quality Costs	182
	Pareto Ranking Method for Comparing Predominant Process Influence	184
	Software Demographics to Describe Business Unit Process Costs	186
	Demographic Penetration Data for Gauging Spread of New Technology	188
	System Process Quality Index for Internal Comparison of Software	188
8.	Vendor Services to Integrate Benchmark Databases	191
	Vendor Service to Assist Data Center Benchmarking: KPMG	192
	Vendor Services Providing System Development Project Benchmarks	205
9.	Understanding the Limits of Your Software	207
	The Importance of Consistency to Industrial Production Processes	207
	Importance of Consistency to Computer System Operation Throughput	209
	Managing Mass Production to Achieve Systematic Economies of Scale	211
	Determining Critical Descriptive Software Quality Control Limits	214
	Measuring Critical Trending Limits for System Management Control	214
	Control-Delimited Threshold Management of Computer Operations	216
	Measuring Production Operations to Achieve Scaled Efficiency	219
	Managing Limited Production to Achieve Special Process Function	219
	Measuring Ad Hoc Workloads for Standardizing Nonconventional Tasks	221
10.	Vendor Products to Control Software Quality	223
	Vendor Statistical Quality Control Reporting Product: SAS/QC	224
	Vendor Statistical Process Control Reporting Product: SPC-PC	224
11.	Valuing Software in Your In-House System Inventory	231
	Historical Perspective of Valuing and Pricing In-House Software	231
	Mediating Influences That Adjust the Value of Software	233
	Importance of Proprietary Influences upon Value of Software	234
	Relationship of Value to Financing of Software Acquisitions	234
	Functionality and Use of Software Size Metrics to Assign Value	235
	The Table-of-Elements Model of Assigning Value Based on Language	236
	Automated Methods of Collecting and Updating Software Inventories	236
	Capital Property Improvement Models Based on Real Estate	237
	Tying Automated Software Valuations to Life-Cycle Decision Making	240
	Vendors That Can Assist in Inventory Management of Software	241
12.	Managing Automated Software Factories of the Future	243
	What Software Factories of the Future May Look Like	243
	Visions of the Software Factory of the Future	244
	IBM's Host-Based Information Warehouse of the Future	245
	IBM's Application Development Factory of the Future: AD/CYCLE	246
	Software Factories of the Future and Software Engineering	247
	Telecommunications Industry Impact Upon Traditional Data Centers	248
	Upcoming Changes in the Nature of Programs and Programming	253
	Potential Impact of Increasing Regulation of Information Industry	254
	How System Log Measurement Data May Change in the Future	255
	How System Logs Will Fit into Software Factories of the Future	256
Appendix A	Automated Software Quality Metrics Product and Service Vendors	257
Appendix B	Automated Software Quality Measurement Support Organizations	269
Appendix C	Automated Software Quality Measurement Basic SAS Language Toolkit	277
Appendix D	Software Problem Management and Program Failure Codes	287
Appendix E	Automated Software Quality Measurements Annotated Bibliography	309
	Index	317