Due to the growing complexity and scale of IT systems, there is an increasing need to
automate and streamline routine maintenance and security management procedures, to …

Automated generate-and-validate (G&V) program repair techniques typically rely on hard-
coded rules, only fix bugs following specific patterns, and are hard to adapt to different …

We present AL, a novel automated machine learning system that learns to generate new
supervised learning pipelines from an existing corpus of supervised learning programs. In …

Machine learning (ML) has been increasingly used in a variety of domains, while solving ML
programming tasks poses unique challenges due to the fundamental difference in the nature …

Der Autor geht der Frage nach, wie sich die historische Quellenkritik durch die Verwendung
von digitalen Objekten als Forschungsressource sowie digitalen Informations-und …

Similarities between natural languages and programming languages have prompted
researchers to apply neural network models to software problems, such as code generation …

Abstract Natural Language-based Source Code Generation (NLSCG) holds the promise to
revolutionize the way how software is developed by means of facilitating a collection of …

Search-based systems have shown to be effective for planning in zero-sum games.
However, search-based approaches have important disadvantages. First, the decisions of …

In recent years, the need for writing effective, reusable, and high-quality source code has
grown exponentially. Writing source code is an integral part of building any software system; …

Source Code Generation (SCG) is a prevalent research field in the automation software
engineering sector that maps specific descriptions to various sorts of executable code. Along …