The process of testing software is considered a costly operation physically and temporally; due to the fact that the cost of the test is about 40%-60% of the total of the development process.
Consequently, great efforts are exerted by developing software teams to conduct tests in order to evaluate the validity of a software performance totally. Testability metrics, which determine one of the most important characteristics for a good software, have appeared. A great deal of these measures have been postulated theoretically without any practical affirmation. One of the most famous metrics is line of code(LOC). Wherefore, we select more than 700 open source software projects. Then we cipher an application using Java programming language and apply the(LOC) metric to it. After that, we study the correlation between the number of lines of code for test files and that of the original version; as an analytical study to extract results. Is it a right metric which we could rely on both to predict the difficulty of coding a test class and to test the quality of the script. What’s the ratio of test files compared to size of the project which is estimated exclusively by a number of files in tested projects?
These are some questions whose answers could shed light on the opportunity of testing software easily on one level and their impact upon the development of this code on another level.
Al-Baath University Journal.
2014.
Analytical Study to Check the Validity of The Test Metric LOC
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