General Information
Objectives
Improving the theory and practice of industrial strength software systems
The STEM thematic area focuses on both technology and methodology aspects of
software engineering for building large industrial software systems.
Large scale software is expensive and complex to develop and is a frequent
source of delay and unreliability. Thus, development of new methods and tools
that reduce costs and development time and at the same time improve
reliability are of utmost industrial significance.
Within STEM new software technology is investigated and is being developed to
support large scale software development. This includes new system
architectures, documentation systems,
programming environments, languages and tools. New database
technology is being developed for future distributed information systems that
integrate various data sources in large industrial applications. Software
methodology issues are being studied and developed using real-life industrial
development projects. New management models and methods are being studied for
improving the software engineering process and for improving product quality.
Collaborations
Most of the projects within STEM are carried out in cooperation with industry
as well as with other universities..
The following is a list of cooperation partners.
- Dynasim
- Roxen Internet Software
- Mathcore AB
- Q-Labs.
- SKF
- SUN
- IAR Systems
- Ericsson Softlab
- Ericsson Radio Systems
- Delft University
- University of Karlsruhe
- University of Saarbrücken
Extensive contacts with acknowledged researchers within fields
relevant to STEM are maintained and the following is a list of visiting
researchers during 1996-2000:
- Kent Beck (XP programming)
- Prof. Norman Fenton (Dept. of Computer Science at the CSR, City University, London)
- Prof. Mike Hinchey (Director, Dependable Real-time Systems Laboratory CIS/INIS, New Jersey Institute of Technology)
- Prof. Witold Litwin (Universite Paris 9 Dauphine, France)
- Prof. Dushan Badal (University of Colorado at Colorado Springs, USA)
- Prof. Kevin Ryan (University of Limerick, College of Informatics
Electronics)
- Prof. Mary Lou Soffa (Dept. of Computer Science, University of Pittsburgh)
- Prof. Barbara G. Ryder (Dept. of Computer Science, Rutgers University)
- Prof. Elaine J. Weyuker (AT&T Labs Research)
- Dr. Jeffrey M. Voas (Reliable Software Technologies, RST),
- Dr. Florian Martin (Universität des Saarlandes, Saarbrucken, Germany)
- Prof. Vic Basili (University of Maryland)
- Dr. John Musa (Software Reliability Engineered Testing Courses, USA)
- Prof. Goos (University of Karlsruhe)
- Andreas Ludwig (University of Karlsruhe)
