I am not sure which test I have to use to analyze my data. The situation is as follows:
I have two computer programs which are doing exactly the same. Both share a large amount of source code, but some parts were developed with different technologies. I want to test the effect of the different technology. I performed the same changes on both programs and measured some source code properties after every change. The changes were performed in a chain. I performed change 2 on the result of performing change 1 on the initial version, and so on.
Now, with the help of the properties measured after every change, I want to test if the program which was written with technology A were easier to change than the program written with technology B.
Which statistical test do you think is the best choice? I thought of the Student's T-Test for paired samples or the Wilcoxon signed-rank test. But I am unsure if theses tests are applicable to this situation.