- Manual Testing
- Test Management
- Test Automation Process
- Automation Framework
- Automation Methodologies
- Test Harness
- Test Templates
- Testing Resources
- Test Misc
Software Test Estimation
Estimation must be based on previous projects: All estimation should be based on previous projects.
Estimation must be recorded: All decisions should be recorded. It is very important because if requirements change for any reason, the records would help the testing team to estimate again.
Software Test Estimation shall be always based on the software requirements: All estimation should be based on what would be tested. The software requirements shall be read and understood by the testing team as well as development team. Without the testing participation, no serious estimation can be considered.
Estimation must be verified. All estimation should be verified: Two spreadsheets can be created for recording the estimations. At the end, compare both the estimations. If the estimation has any deviation from the recorded ones, then a re-estimation should be made.
Software Test Estimation must be supported by tools: Tools such as spreadsheet containing metrics calculates automatically the costs and duration for each testing phase.
The Software Test Estimation shall be based on expert judgment: The experienced resources can easily make estimate that how long it would take for testing.
Estimation for Test execution
It can be based on the following points,
* Number of Man Days available for testing
* Number of test cases to be executed
* Complexity of test cases
* Based on previous cycle.
Functional Point Analysis
A method for Estimation
One of the initial design criteria for function points was to provide a mechanism that both software developers and users could utilize to define functional requirements. It was determined that the best way to gain an understanding of the users' needs was to approach their problem from the perspective of how they view the results an automated system produces. Therefore, one of the primary goals of Function Point Analysis is to evaluate a system's capabilities from a user's point of view. To achieve this goal, the analysis is based upon the various ways users interact with computerized systems. From a user's perspective a system assists them in doing their job by providing five (5) basic functions. Two of these address the data requirements of an end user and are referred to as Data Functions. The remaining three address the user's need to access data and are referred to as Transactional Functions.
The Five Components of Function Points
* Internal Logical Files
* External Interface Files
* External Inputs
* External Outputs
* External Inquiries"
In addition to the five functional components described above there are two adjustment factors that need to be considered in Function Point Analysis.
Functional Complexity - The first adjustment factor considers the Functional Complexity for each unique function. Functional Complexity is determined based on the combination of data groupings and data elements of a particular function. The number of data elements and unique groupings are counted and compared to a complexity matrix that will rate the function as low, average or high complexity. Each of the five functional components (ILF, EIF, EI, EO and EQ) has its own unique complexity matrix. The following is the complexity matrix for External Outputs.
Value Adjustment Factor - The Unadjusted Function Point count is multiplied by the second adjustment factor called the Value Adjustment Factor. This factor considers the system's technical and operational characteristics"