Quantitative techniques

Quantitative techniques

Quantitative techniques are methods and tools used in Software Quality Assurance to measure and analyze software quality-related data. These techniques rely on numerical data and statistical analysis to identify patterns, trends, and relationships among various factors that impact software quality. Some common quantitative techniques used in SQA include:

Statistical process control (SPC): It is a method used to monitor and control a process by analyzing data over time. SPC uses statistical techniques to identify when a process is out of control and needs corrective action.

Hypothesis testing: It is a statistical method used to evaluate whether a hypothesis about a population is true or false based on a sample of data. In SQA, hypothesis testing is used to test the validity of assumptions made about software quality.

Regression analysis: It is a statistical technique used to identify the relationship between a dependent variable and one or more independent variables. Regression analysis is used in SQA to identify factors that impact software quality.

Design of experiments (DOE): It is a statistical method used to design experiments to evaluate the effect of various factors on the output of a process. DOE is used in SQA to identify factors that impact software quality and optimize software development processes.

Failure mode and effects analysis (FMEA): It is a method used to identify potential failure modes and their effects on a process. FMEA is used in SQA to identify potential software quality issues and their impact on the software development process.

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