Explain the purpose of a posthoc test and why you don't need a posthoc test if you are testing the difference between only two groups (like with a T test). What are the assumptions of ANOVA, and what tests are done for each assumption? Why is it helpful to analyze variations?
Pre-Alpha Testing:The product’sUI is ready but features are not yet implemented completely. This stage is usually where the decision on what features to go into the product is still being conducted. Proto-type of a product is continuously reviewed and analyzed for more enhancements. Alpha Testi...
Ad-hocand exploratory testing can be performed in this testing after scripted testing has been completed.Exploratory testingand ad-hoc testing help to unfold the bugs that cannot be found in scripted testing, as it gives freedom to the testers to test as their desire is based on their experien...
Manual testing is often better suited for exploratory, usability, and ad hoc testing. Conclusion: manual vs. automated performance testing To choose between manual and automated performance testing, you need to closely evaluate your performance criteria and budget. Automated performance testing...
Areas of SpecializationTo exhibit the best results, manual Testing should be used to perform Exploratory, Usability, and Ad-hoc Testing.Automation Testing should be used to perform Regression Testing, Load Testing, Performance Testing, and Repeated Execution for best results. ...
Learn how ANOVA can help you understand your research data, and how to simply set up your very first ANOVA test.
UI testing.While it isn't specific to an API, UI testing is equally important, as it evaluates user experience and verifies seamless integration with the interface. Ad-hoc testing.Ad-hoc testing occurs after formal testing, involving random checks to uncover vulnerabilities and assess overall API...
Researchers need to limit the testing they perform during a study and use the proper corrections for multiple comparisons and hypothesis tests. Learn more aboutPost Hoc Multiple Comparisonsand theBonferroni Correction. Excessive Model Fitting This problem is like excessive hypothesis testing but relates ...
From types, benefits, and challenges of Sanity testing, to free & enterprise tools, and checklists, learn everything there is to know about Sanity Testing!
For example, a tester who is testing a feature which deals with compression/encryption of data might have done intense ad hoc tests with a variety of data, file types, file sizes, corrupt data, a combination of data, using different algorithms, across several platforms, etc. ...