Today's users of data processing systems come from different domains, have different levels
of expertise, and prefer different programming languages. As a result, analytical workload …

Polyglot programming provides software developers with a broader choice in terms of
software libraries and frameworks available for building applications. Previous research and …

Pointer analysis is widely used as a base for different kinds of static analyses and compiler
optimizations. Designing a scalable pointer analysis with acceptable precision for use in …

Compilers use profiles to apply profile-guided optimizations and produce efficient programs.
Dynamic profilers collect high-quality profiles but require identifying suitable profile …

Tracking specific events in a program's execution, such as object allocation or lock
acquisition, is at the heart of dynamic analysis. Despite the apparent simplicity of this task …

We present Amaru, a framework for Genetic Improvement utilizing Abstract Syntax Trees
directly at the interpreter and compiler level. Amaru also enables the mining of frequent …

Over the last decades, the data processing environment significantly changed. Nowadays,
data-centric applications process ever-growing volumes of data with increasing velocity. At …

Modern, optimizing compilers rely on hundreds of heuristics to decide whether and how to
apply optimizations during compilation. These heuristics are typically hand-crafted and …

Writing source code is a challenging task, requiring the understanding of complex concepts,
algorithms and programming paradigms. This task becomes increasingly challenging when …

Over the last decades, the data processing environment significantly changed. Nowadays,
data-centric applications process ever-growing volumes of data with increasing velocity. At …