In a recent article analysing 20 years of research on Software Product Lines Rick Rabiser is recognized as one of the 15 most prolific researchers in the field. Congratulations! The article was published in the Information and Software Technology Journal. In the same article, the paper “The DOPLER Meta-Tool for Decision-Oriented Variability Modeling: A Multiple … Continue reading Recognitions
Rick Rabiser has been elected as Research Track co-chair of the 20th International Systems and Software Product Line Conference. The conference will take place in Beijing, China between September 19 and September 23, 2016. The SPLC 2016 conference website is available at http://www.splc2016.net
Abstract: Understanding and tracking down memory-related performance problems, such as long garbage collection times and memory leaks, is a tedious task in large and complex applications. Memory profilers can support developers in this task by recording detailed traces of the application’s memory behavior which can then be analyzed offline. Unfortunately, these traces can become huge, … Continue reading @PPPJ’15
We are happy that two papers on research results of our lab will be presented at the 30th IEEE/ACM Int’l Conference on Automated Software Engineering (ASE 2015), which will take place in Lincoln, Nebraska (USA). Configuration-Aware Change Impact Analysis (Authors: Florian Angerer, Andreas Grimmer, Herbert Prähofer, Paul Grünbacher) Understanding variability is essential to allow the … Continue reading @ASE 2015
Abstract: Many software-intensive systems today can be characterized as systems of systems (SoS) comprising complex, interrelated, and heterogeneous systems. The behavior of SoS often only emerges at runtime due to complex interactions between the involved systems and their environment. It is thus necessary to determine unexpected behavior by monitoring SoS at runtime, i.e., collecting and … Continue reading in: Journal of Systems and Software, 2015
We recently got two empirical papers accepted on the notion of features (SPLC’15) and feature modelling (MODELS’15). The work leading to the first paper has been conducted in cooperation with the University of Waterloo, Massachusetts Institute of Technology, Fraunhofer IESE, and the University of Toronto. What is a Feature? A Qualitative Study of Features in … Continue reading @SPLC’15 and MODELS’15
Abstract: Many software systems today can be characterized as systems of systems (SoS) comprising interrelated and heterogeneous systems developed by diverse teams over many years. Due to their scale, complexity, and heterogeneity engineers face significant challenges when determining the compliance of SoS with their requirements. Requirements monitoring approaches are a viable solution for checking system … Continue reading A Requirements Monitoring Model for Systems of Systems @ RE’15 Conference 2015
The FOSD Meeting is an informal workshop within the field of software development for variability-rich software systems and feature-oriented software development (FOSD). The FOSD meeting 2015 was organized by Florian Angerer (Johannes Kepler University Linz, Austria), Sven Apel (Universität Passau, Germany), Christian Kästner (Carnegie Mellon University, USA), Herbert Prähofer (JKU Linz, Austria) and Paul Grünbacher … Continue reading FOSD Meeting 2015 — International Academy Traunkirchen, Austria — May 13-16, 2015
The lab is cooperating with Politechnico di Milano, Italy (Prof. Dr. Luciano Baresi, Dr. Sam Guinea, Dr. Clément Quinton) in the areas of constraint languages for runtime monitoring and dynamic software product lines. During a recent visit Michael Vierhauser and Rick Rabiser gave a talk at Politechnico di Milano on the REMINDS requirements monitoring infrastructure.
Rick Rabiser gave an invited talk at Charles University, Prague, Czech Republic and presented the requirements monitoring infrastructure developed in research module 1. On April 14th he visited the Department of Distributed and Dependable Systems (d3s) chaired by Tomas Bures to discuss joint research interests on monitoring cyber-physical systems.