How to use EnvironmentStatisticsDAOImpl class of org.cerberus.statistics package

There are times when developers get stuck with a problem that has to do with version changes. Trying to run the code or test without upgrading the package can result in unexpected errors.

The purpose of developing test cases is to ensure the application functions as expected for the customer. Test cases provide basic application documentation for every function, feature, and integrated connection. Test case development often detects defects in the design or missing requirements early in the development process. Additionally, well-written test cases provide internal documentation for all application processing. Test case development is an important part of determining software quality and keeping defects away from customers.

In general, software testers have a challenging job. Software testing is frequently the final significant activity undertaken prior to actually delivering a product. Since the terms “software” and “late” are nearly synonymous, it is the testers that frequently catch the ire of the whole business as they try to test the software at the end. It is the testers who are under pressure to finish faster and deem the product “release candidate” before they have had enough opportunity to be comfortable. To make matters worse, if bugs are discovered in the product after it has been released, everyone looks to the testers and says, “Why didn’t you spot those bugs?” The testers did not cause the bugs, but they must bear some of the guilt for the bugs that were disclosed.

In my last blog, I investigated both the stateless and the stateful class of model-based testing. Both have some advantages and disadvantages. You can use them for different types of systems, depending on whether a stateful solution is required or a stateless one is enough. However, a better solution is to use an aggregate technique that is appropriate for each system. Currently, the only aggregate solution is action-state testing, introduced in the book Paradigm Shift in Software Testing. This method is implemented in Harmony.

Development practices are constantly changing and as testers, we need to embrace change. One of the changes that we can experience is the move from monthly or quarterly releases to continuous delivery or continuous deployment. This move to continuous delivery or deployment offers testers the chance to learn new skills.