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Existing debloating techniques designed to prevent buffer-overflow exploits through return-oriented programming do not differentiate roles within a process or binary, allowing all threads access to the full program functionality. For example, a worker ...

Publications and citations are important for career advancement of researchers. Our main aim was to derive recommendations that might increase the citation frequency of authors’ work. We examined title and article characteristics of original ...

In the embedded domain, industrial sectors (i.e., automotive industry, avionics) are undergoing radical changes. They broadly adopt commodity hardware and move away from special-purpose control units. During this transition, heterogeneous software ...

Software projects that use a compiled language are built hundreds of thousands of times during their lifespan. Hence, the compiler is invoked over and over again on an incrementally changing source base. As previous work has shown, up to 97 percent of ...

Generalized estimating equations (GEE) proposed by Liang and Zeger (1986) yield a consistent estimator for the regression parameter without correctly specifying the correlation structure of the repeatedly measured outcomes. It is well known that the ...

Harrell's C is proposed as a split criterion in random survival forests.Split points of continuous predictor variables differ substantially between Harrell's C and log-rank splitting.The log-rank statistic has a stronger end-cut preference than Harrell'...

Testing a software product line such as Linux implies building the source with different configurations. Manual approaches to generate configurations that enable code of interest are doomed to fail due to the high amount of variation points distributed ...

Linux is a highly configurable operating-system kernel which has been widely studied in the context of software product lines over the past years. Understanding the challenges and perils of evolving and maintaining feature models of the size of Linux is ...

In a software project as large and as rapidly evolving as the Linux kernel, automated testing systems are an integral component to the development process. Extensive build and regression tests can catch potential problems in changes before they appear ...

System software can typically be configured at compile time via a comfortable feature-based interface to tailor its functionality towards a specific use case. However, with the growing number of features, this tailoring process becomes increasingly ...

Random Forests are fast, flexible, and represent a robust approach to mining high-dimensional data. They are an extension of classification and regression trees CART. They perform well even in the presence of a large number of features and a small ...

The Linux kernel can be a threat to the dependability of systems because of its sheer size. A simple approach to produce smaller kernels is to manually configure the Linux kernel. However, the more than 11,000 configuration options available in recent ...

Generalized estimating equations (GEE) were proposed for the analysis of correlated data. They are popular because regression parameters can be consistently estimated even if only the mean structure is correctly specified. GEE have been extended in ...

Motivation: Genome-wide association (GWA) studies have proven to be a successful approach for helping unravel the genetic basis of complex genetic diseases. However, the identified associations are not well suited for disease prediction, and only a ...

In the last 15 years several machine learning approaches have been developed for classification and regression. In an intuitive manner we introduce the main ideas of classification and regression trees, support vector machines, bagging, boosting and ...

For the analysis of complex polygenic diseases, one does not expect all patients to share the same disease-associated alleles. Not even will disease-causing variations be assigned to the identical sets of genes between patients. However, one does expect ...