Measurements for Software Aging

A considerable attention has been devoted to the analysis of software aging based on measurements from real systems. This approach foresees the adoption of to infer, from collected data, the presence of aging trends (aging detection) as well as to forecast the future evolution of such trends in order to determine the optimal rejuvenation time. This chapter will target the main methods adopted for the analysis and detection of software aging phenomena based on measurements. It will cover the methods for trend detection, estimation, forecasting as well as data manipulation. These methods can be classified as threshold-based approaches, statistical approaches for time series analysis and machine learning approaches for aging state classification and failure prediction. Mathematical details of the discussed techniques will be described in Appendix A-2.

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