Error prediction is a research area in computer science that focuses on developing techniques and algorithms to identify and predict errors or defects in software systems before they occur. By analyzing historical data, code metrics, and other software artifacts, researchers aim to build models that can forecast potential issues and vulnerabilities in software code. The ultimate goal of error prediction is to improve software quality by proactively identifying and addressing potential defects, ultimately leading to more reliable and stable software applications.