1. Test Metrics

2. Metrics Framework “Lord Kelvin, a renowned British physicist, is reputed to have said: ‘When you can measure what you are speaking about, and express it in numbers, you know something about it … [otherwise] your knowledge is of a meager and unsatisfactory kind; it may be the beginning of knowledge, but you have scarcely in thought advanced to the stage of science.”” - quotation from ‘Measuring Business Performance’, A. Neely, The Economist Books,1998 Establish a standard framework and implement appropriate tools to gather, track and report standardized performance metrics and measurements, enabling an organization to effectively manage test planning and test execution efforts, to accurately evaluate the quality of delivered solutions, and to consistently assess the overall test effectiveness of applications and systems. Mission Metrics are critical for gathering information that will lead to good decision-making. Metrics should be limited to a “vital few” metrics.

3. Metrics - Definitions Basic Definitions  Metric: Quantitative performance measure of the degree to which a system, component, or process possesses a given attribute. A calculated or composite indicator based upon a measure value. Example: Total Test Effort  Measure: To ascertain or appraise by comparing to a standard. A standard or unit of measurement; the extent, dimension, capacity, etc. of anything, especially as determined by a standard; a result of a measurement. Example: # of total actual hours billed to the project  Measurement: The act or process of recording or assessing a value of something, such as a figure, extent or amount. Example: 368 actual hours billed to project A  Core Metric: Required metric that is essential to support solution delivery test management on systems development projects. Example: Percentage of requirements met  Non-Core Metric: Optional metric that can help to create a more balanced picture of the quality and effectiveness of test efforts. Example: Total number of defects by test phase  Base Measure: Direct performance measurement of a system, component, or process. Example: Total number of open defects  Derived Measure: Calculated performance measurement using base measures as input to obtain a more sophisticated view of a system, component, or process. Example: Return on Quality Investment

4. Sample testing metrics

5. Sample Metrics – Test Planning Test ActivityCategoryPrimary IndicatorMetricCalculation ApproachProductivityTest PlanTotal numbers of hours spent establishing test approachTotal hours dedicated to test planning, by stage ApproachProductivityTest PlanTotal number of signoffs on test approach PlanProductivityConditionsTotal numbers of hours spent on planning test (test Conditions)Total hours dedicated to test planning, by stage PlanProductivityConditionsTotal number of test conditions documented and signed offTotal number of test conditions that have been signed-off PlanProductivityConditionsTest Conditions /Function PlanProductivityConditionsTest Conditions /Release or Package PlanProductivityConditionsTest Planning RateTotal number of hours spent planning the test stage/ Total number of conditions documented and signed off for the stage PrepProductivityScriptsTotal # of test scripts created PrepProductivityScriptsTotal % of test scripts created(Total # of test scripts created/Total # of planned scripts)*100 PrepProductivityScriptsTotal number of hours spent preparing scriptsTotal hours dedicated to test planning, by stage PrepProductivityScriptsTotal number of hours spent preparing scripts by stageTotal hours dedicated to creating test scripts, by stage PrepProductivityScriptsNumber of scripts entered into repository PrepProductivityScripts% of scripts entered into repository PrepProductivityScriptsTest Preparation RateTotal number of hours spent scripting the test stage/ Total number of cycles which have been scripted and signed off this test stage EnvironmentProductivityEnvironmentsTest environments established on time EnvironmentProductivityEnvironmentsTest environments validated on time

6. Sample Metrics – Test Execution Test ActivityCategoryPrimary IndicatorMetricCalculation ExecutionProductivityScriptsTotal hours spent executing test scriptsTotal hours of testing ExecutionProductivityScriptsTotal hours spent executing each test stageTotal hours of testing per stage ExecutionProductivityScriptsTest Hrs/Function ExecutionProductivityScriptsTest Scripts/Hour ExecutionProductivityScriptsTest Execution RateTotal number of hours spent executing the test stage/ Total number of test scripts executed in the stage ExecutionProductivityScriptsTotal # of test scripts executed ExecutionProductivityScriptsTotal # of test scripts In Progress ExecutionProductivityScriptsTotal # of test scripts NOT Started ExecutionProductivityScriptsTotal # of test scripts Scheduled ExecutionProductivityScriptsTotal % of test scripts executedTotal # of test scripts executed ExecutionProductivityScriptsTotal % of test scripts In ProgressTotal # of test scripts In Progress/ Total number of scripts ExecutionProductivityScriptsTotal % of test scripts NOT StartedTotal # of test scripts NOT Started/ Total number of scripts ExecutionProductivityScriptsTotal % of test scripts ScheduledTotal # of test scripts Scheduled/ Total number of scripts ExecutionProductivityScriptsTotal # of test scripts added ExecutionProductivityScriptsTotal # of test scripts removed ExecutionProductivityScriptsTotal # of test scripts (results) signed off ExecutionProductivityScriptsTotal % of test scripts (results) signed off Below are sample metrics for productivity measures of test execution using test scripts…

7. Sample Metrics - Defects Test ActivityCategoryPrimary IndicatorMetricCalculation ExecutionProductivityDefectsAverage time to fix a defect for a given stageTotal # of defects/Total time to fix defects ExecutionProductivityDefectsNumber of hours spent fixing defects at a given stageTotal hours to fix defects by stage ExecutionProductivityDefectsNumber of defects fixed correctly for a given stage# of defects fixed per stage ExecutionProductivityDefects(Stage Containment) Repair Effort Percentage(# of hours spent repairing defects from a given stage/original number of hours to build the stage)*100 ExecutionProductivityDefectsRepair Effectiveness Percentage(# defects fixed correctly the first time for a given stage/total # attempted fix for the stage)*100 ExecutionProductivityDefectsAverage Turnaround Days of Defects by prioritySum of all Turnaround Days of Defects of Priority P resolved during the week/Number of Defects of Priority resolved during the week ExecutionProductivityDefectsBest Defect Turnaround by priorityMinimum among the Turnaround Days of All Defects of Priority ExecutionProductivityDefectsWorst Defect Turnaround by priorityMaximum among the Turnaround Days of All Defects of Priority ExecutionProductivityDefectsDefect Fix Ratenumber of defects fixed / hours spent fixing defects ExecutionProductivityDefectsDefect Closure Rate by priorityDefects of Priority whose Date Closed falls within the start and end of reporting week ExecutionProductivityDefectsDefect Emergence Rate by priorityDefects of Priority whose Date Open falls within the start and end of reporting week ExecutionProductivityDefectsTesting Effectiveness Percentage(Number of defects found during testing for a given stage/ Hours of testing for a given stage) * 100

8. Sample Metrics – General Productivity Test ActivityCategoryPrimary IndicatorMetricCalculation ExecutionQualityDefectsTotal # of defects found ExecutionQualityDefectsTotal # of defects fixed ExecutionQualityDefectsTotal # of outstanding defects ExecutionQualityDefectsNumber of defects by module# of defects per module ExecutionQualityDefectsTotal defects by stage# of defects by stage ExecutionQualityDefectsTotal defect by severity# of total defects by severity ExecutionQualityDefectsTotal defect by severity by stage# of total defects by severity by stage ExecutionQualityDefects# of defects by type (application, data, environment, script)# of defects created for each category ExecutionQualityDefects# of defects by component (online, batch, report, etc)# of defects created for each component ExecutionQualityDefects# of defects by component complexity# of defects for each component, by component complexity ExecutionQualityDefectsDefect ratenumber of defects / days or weeks of execution ExecutionQualityDefectsDefect ratio# of defects /software size ExecutionQualityDefectsDefect density# Defects/KSLOC (thousand lines of code) ExecutionQualityScriptsTotal # of test scripts Passed ExecutionQualityScriptsTotal % of test scripts PassedTotal # of test scripts Passed/ Total number of scripts ExecutionQualityScriptsTotal # of test scripts Failed ExecutionQualityScriptsTotal % of test scripts FailedTotal # of test scripts Failed/ Total number of scripts All/GeneralProductivitytime/scheduleDuration Variance Percentage[(actual duration/planned duration) *100]-100 All/GeneralProductivitywork/effortEffort Variance Percentage[(actual effort/planned effort) *100]-100 All/GeneralProductivitywork/effortNumber of Personnel entering time into time management tool All/GeneralProductivitywork/effort% of Personnel entering time into time management tool

9. Test Metric Start Up Hours Accounting Total Effort Total QA Effort Total Rework Effort Total Test Effort Total RW Effort Cost Variance Schedule Variance MS Project Project Workplans - Test Process Task Mapping - Compliance Reports - Accuracy and Compliance Reports - Cost / Schedule Reports Defect Tracking Development Defects - Test Management Tool - Project Database (Interim) - Project Tools (Temporary) - Project Reports - Test Management Tool Reports Production Problems Accuracy & Completeness, Integrity Verification Dashboard Reporting Engine & Archive (Central Repository) Exec Dashboard Other Sources Risk-Based Testing Training Statistics Customer Satisfaction Test Manager Dashboard The consolidation of metric data sources, integrated verification of data quality, and a centralized repository for capturing measurement results enables an organization to successfully establish a test metric framework and its associated processes.