All workshops will take place in the University Building F (see map).
|Monday 04||Tuesday 05|
|SWAN 2017||WAMA 2017|
General Workshop Schedule
|Coffee Break (10:30 - 11:00)|
|Lunch (12:30 - 13:30)|
|Coffee Break (15:00 - 15:30)|
|End 17:00||End 17:0|
Software Engineering and Digital Forensics
Monday, September 04
Dalal Alrajeh (Imperial College London), Liliana Pasquale (University College Dublin)
A digital forensic investigation is concerned with the discovery, collection, preservation, analysis, interpretation, and presentation of digital evidence from digital sources, for proof of incident and ultimately for prosecution of criminal activity. The SERF workshop aims to explore the role of software engineering (SE) in the design of systems that support or implement digital forensic tasks. SERF is intended to be a multi-disciplinary workshop that brings together researchers and practitioners from the software engineering and digital forensics communities to identify open challenges in digital forensics, assess the status of SE approaches in tackling these challenges, and strengthen the frontier of SE research in this problem domain.
3rd International Workshop on Software Analytics
Monday, September 04
Olga Baysal(Carleton University, Canada), Tim Menzies (NC State University, USA), Latifa Guerrouj(Ecole de Technologie Superieure, Canada), Andreas Metzger ( University of Duisburg-Essen, Germany), Sonia Haiduc (Florida State University, USA)
Software practitioners make technical and business decisions based on the understanding they have of their software systems. This understanding is grounded in their own experiences, but can be augmented by studying various kinds of development artifacts, including source code, bug reports, version control meta-data, test cases, usage logs, etc. Unfortunately, the information contained in these artifacts is typically not organized in the way that is immediately useful to stakeholders’ everyday decision making needs. To handle the large volumes of data, many practitioners and researchers have turned to analytics — the use of analysis, data, and systematic reasoning for making decisions. Thus, software analytics is an emerging field of modern data mining and analysis.
The International Workshop on Software Analytics (SWAN) aims at providing a common venue for researchers and practitioners across software engineering, data mining and mining software repositories research domains to share new approaches and emerging results in developing and validating analytics rich solutions, as well as adopting analytics to software development and maintenance processes to better inform their everyday decisions.
2nd International Workshop on App Market Analytics
Tuesday, September 05
Federica Sarro (Department of Computer Science, University College London, London, UK), Emad Shihab (Department of Computer Science and Software Engineering, Concordia University Montreal, QC, Canada), Meiyappan Nagappan David R. (Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada), Marie C. Platenius (Heinz Nixdorf Institute, Paderborn University, Paderborn, Germany), Daniel Kaimann (Department of Management, Paderborn University. Paderborn, Germany)
Software applications (or apps) are distributed through centralized market places (which have changed the way developers interact with users, the way software is released, and consumed). These app markets, which are now standard for mobile apps, are getting popular for desktop apps, games, and even open source apps. Such markets facilitate app developers, releasing new apps and enhancing existing ones. It also makes it easier for users to search, compare and download new apps and keep their existing apps up to date. Additionally, app markets provide useful guidance to developers so that end users have the best quality apps. Finally, the market is public facing and has unique data like user ratings and reviews, release notes, app popularity, besides just the app itself. Hence, app markets can be mined and the resulting data analyzed by researchers and analytics companies. Therefore, in this workshop, we seek to bring together researchers and practitioners to discuss research challenges, ideas, initiatives and results that leverages such app market data to answer pertinent software engineering questions w.r.t. analytical and empirical approaches. Furthermore, we want to incorporate interdisciplinary collaborations regarding economic aspects.
8th Workshop in Automated Software Testing
Monday, September 04, and Tuesday, September 05
Tanja Vos (Open Universiteit, NL), Sigrid Eldh (Ericsson, SE), Wishnu Prasetya (Univ. Utrecht, NL)
Modern software that impacts all aspects of our life is getting increasingly complex and distributed over clouds and devices. This leads to new concerns in quality assurance.
Testing is at the moment the most important and mostly used quality assurance technique applied in industry. However, the development of cost-effective and high-quality modern systems opens new challenges that cannot be faced only with traditional testing approaches. New techniques for systematization and automation of testing are required.
The A-TEST workshop provides a venue for researchers as well as the industry to exchange and discuss trending views, ideas, state of the art work in progress, and scientific results.