1. Software systems are large and complex with many dependencies between code entities. Visualizing these dependencies can help developers better understand the system. 2. As software evolves over time, it becomes more complex and difficult to maintain due to increasing changes and dependencies. Analyzing data from a software project's history can provide insights into how the system has evolved and where problems may occur. 3. Analyzing data like source code, bugs, tasks, and emails can help identify trends like whether fragmented contributions from many developers are correlated with more post-release failures, helping prioritize testing and maintenance efforts.