1. Data Handling and Constraints
The best way I think to test data is to troubleshoot and always backup your information. When
adding another piece of software or device if it does not work when adding that device always
trace your steps back to when it was working properly then start from there. To keep it
maintained is to keep testing it to a degree that it stays functional and always operational. One
of the most basic tests of data completeness is to verify that all expected data loads into the
data warehouse. This includes validating that all records, all fields and the full contents of each
field are loaded. That way you can be sure everything is operational and if there is any
problems you can then identify and trace to where the problems are. In general, a test
developer will produce as many tests as are needed to cover syntactic alternatives to a
satisfactory degree, and whose execution requires the implementation to exercise all of the
general rules correctly at least once. It is not uncommon for a test developer to try to produce
at least one simple program to test every General Rule. The test specification lends itself to
automation, both in the analysis of constraints to eliminate impossible test cases and to
generate input parameters for the test cases themselves. The main disadvantage of this
approach is that it only produces input values for test cases; it does not automatically validate
the results of the test parameters to determine correctness with respect to the functional
specification. The formal test specification gives the tester a logical way to control test
generation and is easily modified to accommodate changes or mistakes in the functional
specification. It is always important that each tester does the correct test for that specific

2. device or software to complete it successfully and record all findings. Constraints are
restrictions on the way that choices within different categories can interact with one another. A
typical constraint will specify that a choice from one category cannot occur together in a test
frame with certain choices from other categories. Choices and constraints will be derived from
the natural language functional specifications, but can often be specified by formal methods,
thus making their analysis easier to automate. With a careful specification of constraints, the
number of potential test frames can usually be reduced to a manageable number. Constraints
let you define the way the Database Engine automatically enforces the integrity of a database.
Constraints define rules regarding the values allowed in columns and are the standard
mechanism for enforcing its integrity. The main risk for any application testing and deployment
project is the business impact of application failure. For business-critical applications, a failure
in deployment could have severe financial repercussions for the organization, whereas the
failure to properly deploy an application that is used infrequently by a few users might have
very little effect. Assess the financial impact that could be caused by a failure at any time during
the testing of a project.