Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

Nowadays, reliability assurance is crucial in components of IT infrastructures. Unavailability
of any element or connection results in downtime and triggers monetary and performance …

By leveraging large clusters of commodity hardware, the Cloud offers great opportunities to
optimize the operative costs of software systems, but impacts significantly on the reliability of …

In this work, we first present a low-cost, anomaly-based semi-supervised approach, which is
instrumental in detecting the presence of ongoing side-channel attacks at runtime. We are …

Many applications are implemented as multi-tier software systems, and are executed on
distributed infrastructures, like cloud infrastructures, to benefit from the cost reduction that …

Combinatorial testing has been shown to be a very effective strategy for software testing.
After a failure is detected, the next task is to identify one or more faulty statements in the …

Application performance management (APM) tools are useful to observe the performance
properties of an application during production. However, APM is normally purely reactive …

To address the modeling of continuous production process with dynamic and nonlinear
characteristics, an on-line Wang-Mendel fuzzy inference model is proposed in this paper …

This paper presents Prevent, a fully unsupervised approach to predict and localize failures
in distributed enterprise applications. Software failures in production are unavoidable …

Modern data centers coordinate hundreds of thousands of heterogeneous tasks aiming at
providing highly reliable cloud computing services. Failure prediction is of vital importance in …