The issue of Technical Debt is much more complex than just bad code. The current state of research has identified many Technical Debt types. These types cover areas such as Code, Architecture, Documentation, Testing, Defects, Infrastructure, Design, Versioning, and more! To make matters worse, the emerging field of Machine Learning has introduced additional types of Technical Debt, such as fairness, and trustworthiness.

In this presentation, we will present the current state of academic research into Technical Debt. We will discuss Technical Debt types, factors that can lead to Technical Debt, and actions that the research has found to prevent specific types of Technical Debt.

During this presentation, we will be answering questions such as:
What happens when project managers are given ownership of Technical Debt?
What type of Technical Debt does package usage cause?
How do Community smells impact Technical Debt?
Is Technical Debt actually mitigated by design patterns?
What is the financial cost of Technical Debt?
...and more!