Not logged in.

Quick Search - Contribution

Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title An industrial case study on quality impact prediction for evolving service-oriented software
Organization Unit
  • Contribution from another University/Organization than University of Zurich
Authors
  • Heiko Koziolek
  • Bastian Schlich
  • Carlos Bilich
  • Roland Weiss
  • Steffen Becker
  • Klaus Krogmann
  • Mircea Trifu
  • Raffaela Mirandola
  • Anne Koziolek
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
ISBN 978-1-4503-0445-0
Page Range 776 - 785
Event Title 33rd International Conference on Software Engineering
Event Type conference
Event Location Waikiki, Honolulu, HI, USA
Event Start Date May 21 - 2011
Event End Date May 28 - 2011
Series Name Proceedings of the 33rd International Conference on Software Engineering
Place of Publication New York, NY, USA
Publisher Association for Computing Machinery
Abstract Text Systematic decision support for architectural design decisions is a major concern for software architects of evolving service-oriented systems. In practice, architects often analyse the expected performance and reliability of design alternatives based on prototypes or former experience. Model-driven prediction methods claim to uncover the tradeoffs between different alternatives quantitatively while being more cost-effective and less error-prone. However, they often suffer from weak tool support and focus on single quality attributes. Furthermore, there is limited evidence on their effectiveness based on documented industrial case studies. Thus, we have applied a novel, model-driven prediction method called Q-ImPrESS on a large-scale process control system consisting of several million lines of code from the automation domain to evaluate its evolution scenarios. This paper reports our experiences with the method and lessons learned. Benefits of Q-ImPrESS are the good architectural decision support and comprehensive tool framework, while one drawback is the time-consuming data collection.
Related URLs
Digital Object Identifier 10.1145/1985793.1985902
Other Identification Number merlin-id:3890
PDF File Download from ZORA
Export BibTeX
EP3 XML (ZORA)