  Researchers often delve into the connections between different factors
derived from the historical data of software projects. For example, scholars
have devoted their endeavors to the exploration of associations among these
factors. However, a significant portion of these studies has failed to consider
the limitations posed by the temporal interdependencies among these variables
and the potential risks associated with the use of statistical methods
ill-suited for analyzing data with temporal connections. Our goal is to
highlight the consequences of neglecting time dependence during data analysis
in current research. We pinpointed out certain potential problems that arise
when disregarding the temporal aspect in the data, and support our argument
with both theoretical and real examples.
