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Explain how the use of automated tests and a testing framework such as JUnit simplifies regression testing?
Regression testing is the process of running tests for functionality that has already been implemented when new functionality is developed or the system is changed.
Regression tests check that the system changes have not introduced problems into the previously implemented code.
Automated tests and a testing framework, such as JUnit, radically simplify regression testing as the entire test set can be run automatically each time a change is made.
The automated tests include their own checks that the test has been successful or otherwise so the costs of checking the success or otherwise of regression tests is low.
Involves building a system from its Testing is an expensive process phase.
Testing workbenches provide a range of tools to reduce the time required and total testing costs.
Systems such as Junit support the automatic execution of tests.
Most testing workbenches are open systems because testing needs are organization-specific.
They are sometimes difficult to integrate with closed design and analysis workbenches components and testing it for problems that arise from component interactions.
Top-down integration:
Develop the skeleton of the system and populate it with components.
Bottom-up integration:
Integrate infrastructure components then add functional components.
To simplify error localization, systems should be incrementally integrated.
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Explain the concept of correlation and regression line as a forecasting tool?
once an equation for a regression is derived it can be used to predict possible future
What is the difference between simple and multiple linear regression?
I want to develop a regression model for predicting YardsAllowed as a function of Takeaways, and I need to explain the statistical signifance of the model.
What is meant by the term logistic regression?
The term "Logistic regression" is referring to the graph of analysis in predictions. There are variables involved and explain probabilities that are a hypothesis of the dependent variable, which is the one being applied to a future prediction.
Explain various .net as well as it's framework?
Refer to related links.
If the regression sum of squares is large relative to the error sum of squares is the regression equation useful for making predictions?
If the regression sum of squares is the explained sum of squares. That is, the sum of squares generated by the regression line. Then you would want the regression sum of squares to be as big as possible since, then the regression line would explain the dispersion of the data well. Alternatively, use the R^2 ratio, which is the ratio of the explained sum of squares to the total sum of squares. (which ranges from 0 to 1) and hence a large number (0.9) would be preferred to (0.2).
What does the coefficient of determination explain in regression?
The coefficient, also commonly known as R-square, is used as a guideline to measure the accuracy of the model.
Explain the design and application of arrays and how an array simplifies program development?
I need an example of a real-world array
What kind of theraphy is age regression?
Age regression therapy where hypnosis is used to regress a person back in time and access their childhood memories. It allows the therapist to access memories buried deep in the sub conscious that can help to explain many issues.
What is the objective of Internal Control System and explain briefly internal control framework?
In 1992 COSO issued Internal Control--An Integrated Framework for companies, their managements, and their auditors.
How you can run multiple regression analysis with more than 4 independent variables through spss?
The answer may be obtained from the SPSS manual. It is not realistic to try to explain it here.
Apart from the framework used in analyzing the macro environment explain the techniques used in carrying nout the above operations?
Apart from framework used in analyzing, the techniques were used to carry heavy objects from one place to another.
Explain the use of IT in management?
IT enables management decision making on a broader and more rapid scale than non-automated methods would allow.
