The programming effort is divided into different types of implementations that are combined to form the complete software.
Software testing is a very important aspect of software development and a significant amount of project effort must be dedicated towards testing.
Use cases are equivalent to the user functions performed by the software. Each use case depicts a type of software implementation.
Different types of users can have access to different use cases of the software. These access level definitions have an impact on the overall effort.
Larger software implementations can be broken down into smaller reusable implementation units. These units form the basis for estimation.
Software estimation is a complex subject because there are too many variables
and many different ways in which developers view and define these variables.
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Quick FPA saves a lot of time compared to the manual process of creating such detailed estimates. You can easily produce 80 - 100 pages of project documentation within a few hours. These documents contain all the project details.
Quick FPA has a learning curve but once you understand the basic estimation concepts, you can easily handle a number of estimation requests without worrying about the quality and accuracy of the estimates.
Quick FPA uses a robust and structured benchmarking framework to allow different organizations to configure their implementation efforts for various types of implementations. All the effort calculations are based on these benchmarks.
A software estimate is very different from any other kind of estimate because majority of the cost goes towards
the labor versus material. Since different developers approach the solutions differently, it is very important
to understand the classification of the types of effort involved in the process of creating any kind of software.
This refers to the one time activities in any project. Some examples of setup include installation of various software required by the project, knowledge transfer to the developers, creation of different scripts that would be used throughout the project etc.
Implementation effort is defined as the effort required by the developer to write the code for any type of implementation required during the development of software. In other words it is equivalent to the actual programming effort.
All software is developed for a set of compatibility targets defined at the pre-development stage. The effort required to create and execute the different test cases on different compatibility targets and ensure that they have passed, is known as the testing effort.