Euromicro SEAA 2018

August 29 – 31, 2018
Prague | Czech Republic

SEAA 2018

Software Analytics (SA)

In recent years, software engineering has taken advantage of the ability to collect, process and visualize large quantities of data originating from software development tools and the application of the software products, systems or services themselves. We can use JIRA, Git and BugZilla as some of the sources of data; data which can be used to track progress of software development, visualize the status of the software product and increase the awareness of the impediments for successful product release. We can also follow the success stories of modern consumer companies which collect their customer data to continuously improve the experience of their software products. These modern advances provided us, so far, with the possibilities for lean software development, experiment systems in software engineering and the ability to continuously deploy software products. But these new data-intensive software products, systems or services also create new challenges to their specification, development and quality assurance, where innovative solutions are required.

To be able to take the next step in excelling in software development, we need to be more efficient in utilizing the latest research in mining software repositories, data analytics and visualization of large quantities of data.

The mission of this special session is to provide a platform for exchange of experiences between practitioners and researchers from the communities of software visualization, mining software repositories, software analytics and big data systems in software engineering. Topics:

  • Applications of software analytics in software engineering
  • Software analytics methods and tools
  • Specification, development and quality assurance of Big data and data-intensive systems and software
  • Case studies in software analytics
  • Data science in software engineering
  • Big data in software engineering
  • Human and social aspects of engineering big data and data-intensive systems and software
  • Mining of software repositories for software analytics
  • Visualisation to support program comprehension, software testing, and debugging
  • Integration of software visualisation tools and development environments
  • Human aspects in visual analytics with application in software engineering
  • Empirical evaluations of software visual analytics tools, techniques, and approaches
  • Automated data mining for software analytics
  • Empirical studies on software visualization, mining software repositories, software analytics and big data systems in software engineering
  • Industrial experience with software analytics

Session Chairs

Miroslaw Staron University of Gothenburg, Sweden

Michael Felderer University of Innsbruck, Austria

Program Committee

Craig Anslow, Victoria University of Wellington, New Zealand

Ulf Assarsson, Chalmers University of Technology, Sweden

Olga Baysal, Carleton University, CA

Fabian Beck, Universität Duisburg-Essen, Germany

Ayse Bener, Ryerson University, Canada

Arne Berre, SINTEF, NO

Alexandre Bergel, University of Chile, Chile

Markus Borg, RISE SICS AB, Sweden

Hong-Mei Chen, U Hawaii at Manoa, US

Bojan Cukic, West Virginia U, US

Elisabetta Di Nitto, Politecnico di Milano, IT

Christof Ebert, Vector Consulting, Germany

Steffen Frey, University of Stuttgart, Germany

Davide Fucci, University of Hamburg, Germany

Eitan Farchi, IBM, IL

Steven Frysinger, James Madison Univ., US

Feng Gao, Wuhan Univ. of Science and Technology, CN

Souleiman Hasan, Maynooth University, IE

Regina Hebig, Chalmers University of Technology, Sweden

Rainer Koschke, University of Bremen, Germany

Stephen MacDonell, Auckland University of Technology, New Zealand

Nazim Madhavji, U Western Ontario, CA

Zoltan Mann, U Duisburg-Essen, DE

Zhen Ming, York University Toronto, Canada

Maleknaz Nayebi, University of Calgary, Canada

Louie (Yongrui) Qin, U Huddersfield, UK

Clément Quinton, U Lille 1, FR

Houari Sahraoui, University of Montreal, Canada

Ezequiel Scott, University of Tartu, Estonia

Weiyi Shang, Concordia University, Canada

Burak Turhan, Brunel University, UK

Andy Zaidman, TU Delft, Netherlands