Автор: Reiner Hahnle

Static analysis of software with deductive methods is a highly dynamic field of research on the verge of becoming a mainstream technology in software engineering. It consists of a large portfolio of …

Machine learning of software artefacts is an emerging area of interaction between the machine learning and software analysis communities. Increased productivity in software engineering relies on the …

Long gone are the days when program veri?cation was a task carried out merely by hand with paper and pen. For one, we are increasingly interested in proving actual program artifacts, not just abstrac …

This volume contains the research papers, invited papers, and abstracts of – torials presented at the Second International Conference on Tests and Proofs (TAP 2008) held April 9-11, 2008 in Prato, It …

This volume contains the proceedings of the 5th International Joint Conference on Automated Reasoning (IJCAR 2010). IJCAR 2010 was held during July 16-19 as part of the 2010 Federated Logic Conferenc …

This volume contains a selection of revised papers that were presented at the Software Aspects of Robotic Systems, SARS 2011 Workshop and the Machine Learning for System Construction, MLSC 2011 Works …

This book constitutes revised lectures from the 11th Symposium on Formal Methods for Components and Object, FMCO 2012, held in Bertinoro, Italy, in September 2012. The 8 lectures featured in this vol …

Recent years have been blessed with an abundance of logical systems, arising from a multitude of applications. A logic can be characterised in many different ways. Traditionally, a logic is presented …

This book presents reflections on the occasion of 20 years on the Ke Y project that focuses on deductive software verification.Since the inception of the Ke Y project two decades ago, the area of ded …

This book is Open Access under a CC BY licence.This book constitutes the proceedings of the 22nd International Conference on Fundamental Approaches to Software Engineering, FASE 2019, which took plac …

Active Objects are a programming paradigm that supports a non-competitive, data-driven concurrency model. This renders active object languages to be well-suited for simulation, data race-free program …