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.

翻译：研究者们常常深入探究源于软件项目历史数据中不同因素之间的关联。例如，学者们致力于探索这些因素之间的关联。然而，这些研究中很大一部分未能考虑这些变量之间的时间相互依赖性所带来的局限性，以及使用不适合分析具有时间关联数据的统计方法所存在的潜在风险。我们旨在强调当前研究中在数据分析过程中忽视时间依赖性的后果。我们指出了在数据中忽略时间因素时可能出现的一些潜在问题，并利用理论和实际案例来支持我们的论点。