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 Testing Procedures | Requirements Capture | Data Analysis | Home |
This is a two day course for anyone who requires formal training in Testing stratagies and standards. The course will cover the principles and various stratagies involved in order to give the student the necessary knowledge to select the most appropriate combination of techniques to create test plans, develop test data and produce succesful test implementation plans.
 Introduction | Economics of testing; Psychology of testing; Independent testing; Verification validation and testing |
| Stages of testing | Project lifecycle; Development testing; Component testing; Integration testing; System testing; Acceptance testing |
| "Human" testing | Deskchecking; Walkthru's Use of error checklists |
| Black Box Testing | Equivalence partitioning; Cause-effect graphing; Boundary-value analysis; Error guessing |
| White Box Testing | Statement coverage; Decision coverage; Condition coverage; Multiple-condition coverage |
| Integration Testing | Incremental testing; Top-down versus bottom-up; Performing the test |
| System Testing | Objectives; Function; Interfacing and compatibility; Capacity; Performance; Resiliance; Usability; Safety; Security |
| Acceptance Testing | The objectives and approaches to acceptance testing |
| Strategy | Selecting and combining techniques; Regression testing |
The need to identify and efficiently provide all customer objectives is a growing problem in todays fast moving industries. This course will enable the attendee to gain an understanding of the principles behind Requirements Capture, and to identify, classify, document and validate requirements.
| Introduction | Consequences of error |
| Process | collecting, specifying, reviewing, agreeing requirements |
| Requirements | functional and non functional (performance, constraints) |
| Identifying and classifying requirements | |
| Requirements validation | valid, consistent, complete, realistic |
| Methods of collecting requirements | |
| Chechlists |
This two day course provides formal instruction on using the data analysis tools, coupled with the development of a case to prove the student's mastering of the tools.
| Data analysis | as a seperate discipline |
| Identification | entities, attributes, and relationships |
| Relationships | degree and integrity |
| Data models | Deriving a series |
| Normalisation | data and importance in relational design |
| Normal data model | Why it is compromised in relational design and implementation |
| Data model | documenting and aids to the model review |
| Testing Procedures | Requirements Capture | Data Analysis | Home |
Please see our further information page for more details or call +44(0)1206 240647 to book any of these courses
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