Accelerated life tests (ALTs) are employed to generate failure time data at higher-than-normal-use stress levels. ALT planning is critical for achieving statistical efficiency and reducing experimental cost through design of experiments (DOE). In this talk, I will describe a real world example of ALT planning and its impact on decision making. I will present models for regression with failure time data, including exponential and Weibull regression. Censoring, which is present in many life testing experiments, and its effect on regression models is discussed. Graphical methods for data analysis of life testing experiments are discussed, as well as the software for ALT planning and data analysis.