Software aging is a phenomenon plaguing many long-running complex software systems, which exhibit performance degradation or an increasing failure rate. Several strategies based on the proactive rejuvenation of the software state have been proposed to counteract software aging and prevent failures. This survey article provides an overview of studies on Software Aging and Rejuvenation (SAR) that have appeared in major journals and conference proceedings, with respect to the statistical approaches that have been used to forecast software aging phenomena and to plan rejuvenation, the kind of systems and aging effects that have been studied, and the techniques that have been proposed to rejuvenate complex software systems. The analysis is useful to identify key results from SAR research, and it is leveraged in this article to highlight trends and open issues.

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With the rise of software complexity, software-related accidents represent a significant threat for computer-based systems. Software Fault Injection is a method to anticipate worst-case scenarios caused by faulty software through the deliberate injection of software faults. This survey provides a comprehensive overview of the state of the art on Software Fault Injection to support researchers and practitioners in the selection of the approach that best fits their dependability assessment goals, and it discusses how these approaches have evolved to achieve fault representativeness, efficiency, and usability. The survey includes a description of relevant applications of Software Fault Injection in the context of fault-tolerant systems

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Mobile devices are significantly complex, feature-rich, and heavily customized, thus they are prone to software reliability and performance issues. This paper considers the problem of software aging in Android mobile OS, which causes the device to gradually degrade in responsiveness, and to eventually fail. We present a methodology to identify factors (such as workloads and device configurations) and resource utilization metrics that are correlated with software aging. Moreover, we performed an empirical analysis of recent Android devices, finding that software aging actually affects them. The analysis pointed out processes and components of the Android OS affected by software aging, and metrics useful as indicators of software aging to schedule software rejuvenation actions