What are the Metrics that should be included in Quality Baseline?
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Creating a quality baseline involves defining the key metrics that will be used to measure the quality of a product or service The specific metrics included in a quality baseline can vary depending on the nature of the project industry standards and organizational goals However here are some common metrics that are often included 1 Defect Density This metric measures the number of defects identified per unit of measurement such as lines of code function points or hours worked 2 Defect Removal Efficiency DRE DRE calculates the effectiveness of the testing process by comparing the number of defects found before release to the total number of defects Its often expressed as a percentage 3 Test Coverage Test coverage measures the percentage of code or requirements covered by automated tests It helps ensure that all critical areas of the application are being tested 4 Code Complexity Metrics like cyclomatic complexity or Halstead complexity measures can be used to assess the complexity of the codebase High complexity can indicate potential areas of risk 5 Mean Time to Failure MTTF MTTF measures the average time until a failure occurs Its particularly relevant for assessing the reliability of hardware or software systems 6 Mean Time Between Failures MTBF MTBF measures the average time between consecutive failures Its commonly used in maintenance planning and reliability engineering 7 Customer Satisfaction Surveys feedback forms and Net Promoter Score NPS can be used to gather data on customer satisfaction and incorporate it into the quality baseline 8 Escaped Defects This metric tracks the number of defects that are found by customers or endusers after the product has been released into production 9 Requirements Traceability Ensuring that each requirement is traced through design development testing and implementation phases can help maintain the integrity of the product and its alignment with customer needs 10 Performance Metrics Depending on the nature of the product performance metrics such as response time throughput and resource utilization may be important for establishing a quality baseline By including these metrics in ... View the full answer
Related Book For
Ethical Obligations and Decision Making in Accounting Text and Cases
ISBN: 978-1259969461
5th edition
Authors: Steven M. Mintz, Roselyn E. Morris
Posted Date:
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Margin of error = \($5\), standard deviation = \($20\)
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Margin of error = 18.2 cm, standard deviation = 95.2 cm
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Margin of error = 0.5 g, standard deviation = 8.7 g
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