CFP - Big Software In-Vivo Analytics SoViVa @ ESEC/FSE 2017

by Nour Assy, April 13, 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.

Background

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.

OBJECTIVES

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.

TOPICS

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


PAPER SUBMISSION

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.


IMPORTANT DATES

Submission deadline: May 12, 2017

Notification: June 16, 2017

Camera ready copy due: July 3, 2017

 

ORGANIZATION

(PC CHAIRS)

 

Marieke Huisman: University of Twente, the Netherlands

Nour Assy: Eindhoven University of Technology, the NetherlandS

Annibale Panichella: University of Lxembourg, Luxembourg


PROGRAM COMMITTEE

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