CFP - Big Software In-Vivo Analytics SoViVa @ ESEC/FSE 2017
The workshop will be held with the 11th joint meeting of the European Software Engineering Conference and the ACM SiGSOFT Symposium of the Foundations of Software Engineering (ESEC/FSE). The mission of this workshop is to advance and provide a scientific basis for in-vivo software analytics, and to bring together researchers interested in data analytics for big software. The workshop seeks contributions from researchers and practitioners interested in all aspects of generating, collecting, and analysing event data produced by running systems.
Millions of lines of code – written in different languages by different people at different times, and operating on a variety of platforms – drive the systems performing key processes in our society. The resulting software needs to evolve and can no longer be controlled a priori as is illustrated by a range of software problems. The aim of this workshop is to focus on the in vivo analysis of large software systems. By monitoring running systems and logging the stream of events, it becomes possible to visualize behavior, check system correctness, detect security and privacy threats, diagnose and predict problems, and recommend corrective actions.
The mission of this workshop is to advance and provide a scientific basis for in-vivo software analytics, and to bring together researchers interested in data analytics for big software. The workshop seeks contributions from researchers and practitioners interested in all aspects of generating, collecting, and analysing event data produced by running systems.
The workshop seeks interesting and innovative contributions and surveys on methods and tools covering all aspects of generating, collecting, and analysing event data produced by running systems. The workshop also encourages new initiatives of building bridges between design- and run-time analytics of software systems. Whenever possible, authors are strongly encouraged to make their code and data available to be used by other researchers. Topics of interest include, but are not limited to:
- Run-time monitoring and verification of big software
- Software Data stream analytics
- Process mining for software systems
- Scalable and interactive visualization techniques of run-time software event data
- Data analytics for detecting and predicting software defects
- Run-time analytics for improving and automating software testing and design
- Privacy-enhanced approaches and techniques for software monitoring and run-time event data analysis
- Security and privacy issues in software analytics
- Hybrid approaches combining design-time and run-time analytics for big software
Authors are invited to submit original, previously unpublished research papers (full papers of 10 pages including references and appendices, and short or position papers of 5 pages) following ESEC guidelines (http://esec-fse17.uni-paderborn.de/call_policies.php). All papers must be prepared using ACM Proceedings Template and be submitted electronically in PDF to https://easychair.org/conferences/?conf=soviva17.
Submission deadline: May 12, 2017
Notification: June 16, 2017
Camera ready copy due: July 3, 2017
Marieke Huisman: University of Twente, the Netherlands
Nour Assy: Eindhoven University of Technology, the NetherlandS
Annibale Panichella: University of Lxembourg, Luxembourg
Zekeriya Erkin, Delft University of Technology, the Netherlands
Walid Gaaloul, Telecom SudParis, France
Joel Greenyer, Leibniz Universität Hannover, Germany
Imen Grida Ben Yahia, Orange Labs/France Telecom, France
Arnd Hartmanns, University of Twente, the Netherlands
Tiziana Margaria, University of Limerick, Republic of Ireland
Gordon Pace, University of Malta, Malta
Dietmar Pfahl, University of Tartu, Estonia
Ji Qi, Eindhoven University of Technology, the Netherlands
Ina Schaefer, Technische Universität Braunschweig, Germany
Sicco Verwer, Delft University of Technology, the Netherlands
Aiko Yamashita, Centrum Wiskunde & Informatica, the Netherlands