Following tools are commonly used in Software Quality Assurance.

• Control Charts
• Correlation and Regression Analysis
• Hypothesis Testing - ANOVA, t test, F test, Chi square test
• Non parametric tests (for data that does not follow a distribution)
• Forecasting models
• Orthogonal arrays for test cases.
• Pugh matrix
• Quality Function Deployment

All these tools can be understood well through a Six Sigma training program along with underlying philosophy and software practice.

Hi All,

I think these are main tools used for statistical analysis.

Could you keep posted me about updates it

Regards

Ajit

I am interested in any updates related to this discussion

Design Of Experiment can be used to generate optimum forecasting model based on the past data.

DOE also used for software testing with lesser possible combinations.

Sir,

Is that above mentioned tools are common for Manufacturing and IT industry?

Request to explain in detail