Program Nov 28th 2018

The slides and pictures are available on: https://oc.iese.de/index.php/s/XYDOIx3D5X4GbWq

Password: WS_QUASD_2018

09:00-10:30 Session 1

9:00-9:15

Opening. Introduction of participants. Explaining Wall of Ideas

9:15-10:15

Keynote: Data Science for Software Quality Management – Examples and Challenges

10:15-10:30

Paper presentation (Vision Paper):

Raquel Ouriques, Krzysztof Wnuk, Richard Svensson and Tony Gorschek: “Thinking Strategically about Knowledge Management in Agile Software Development”.

10:30-11:00 Coffee break
11:00-12:30 Session 2

11:00-11:30

Paper presentation (Technical paper):

Nuno Santos, Jaime Pereira, Nuno Ferreira and Ricardo-J. Machado: “Modeling in agile software development: decomposing use cases towards (logical) architecture design”.

11:30-11:50

Paper presentation (Experience Report):

Marcus Ciolkowski and Florian Lautenschlager: “Making Runtime Data Useful for Incident Diagnosis: An Experience Report”.

11:50-12:20

Paper presentation (Technical paper):

Simon Andre Scherr, Frank Elberzhager and Lisa Müller: “Quality Improvement of Mobile Apps – Tool-supported Lightweight Feedback Analyses”.

12:20-12:30

Preparation of cards for Wall of Ideas
12:30-14:00 Lunch break
14:00-15:30 Session 3

14:00-14:50

Industry talk:

The Q-Rapids Approach from the Bittium Perspective

14:50-15:20

Paper presentation (Technical Paper):

Philipp Hohl, Sven Theobald, Martin Becker, Michael Stupperich and Jürgen Münch: “Mapping Agile to Automotive Software Product Line Concerns”.

15:20-15:30

Preparation of cards for Wall of Ideas
15:30-16:00 Coffee break
16:00-17:30 Session 4

16:00-17:25

Wall of Ideas and Emerging research agenda

17:25-17:30

Closing

Keynote by Dietmar Pfahl

Keynote by Dietmar Pfahl

Keynote: Data Science for Software Quality Management – Examples and Challenges

Abstract: Software has become part of our daily life: whether we drive a car, sit on a plane, use our washing machine, perform a bank transaction, or file our tax return, software is involved in all of these activities. To develop such systems, software engineers must take many decisions in their daily work. The quality of their decision-making is crucial for the success of every new software system deployed to the market. Unlike other engineers, software engineers cannot rely on the laws of nature but must base their decisions to a large extent on experience and empirically derived models. During the last decade, with the emergance of what is now called Data Science, automated approaches for managing quality in software projects and products have come into the focus of research and practice, often using techniques from the realms of Artificial Intelligence and Machine Learning (ML). In my keynote, I will (a) present two examples of using ML in the context of software quality management, (b) discuss some of the associated challenges, and (c) list questions that we should answer when using automated approaches to software quality management.

Short Bio: Dietmar Pfahl earned his Master (1986) and PhD (2001) degrees in Germany, at the Universities of Ulm and Kaiserslautern, respectively. Before joining the University of Tartu in 2013 as an Associate Professor, he worked eight years in industry (Siemens AG, Germany), and held appointments with the University of Calgary, Canada, the Lund University, Sweden, and the University of Oslo, Norway. He also worked for the German Aerospace Research Establishment near Munich, Germany, the Fraunhofer IESE in Kaiserslautern, Germany, and the Simula Research Laboratory near Oslo, Norway. He was the founder and director of Pika Research, Inc., Claresholm, Canada, from 2009 to 2015. Since 2008, he is Adjunct Professor with the Schulich School of Engineering at the University of Calgary, Canada. In spring 2017, he was appointed Professor of Software Engineering at the University of Tartu, Estonia.

Dietmar Pfahl’s research interests focus on data-driven decision support in software engineering and management. Previously, he published articles on software process simulation and improvement, software release planning, and software testing. He has more than 100 publications in top-ranked software engineering journals and conference proceedings. He is a senior member of the IEEE and the ACM.

 

Industry Invited Talk by Timo Räty (Bittium)

Keynote: Quality-Aware Rapid Software Development in Bittium

Abstract: An evidence-based, data-driven quality-aware rapid SW development method where quality requirements are incrementally elicited, refined and improved based on data gathered from SW repositories, management tools, system usage and quality of service. This data is analysed and aggregated into quality-related key strategic indicators which are presented in a highly informative dashboard.

Short Bio: Timo Räty has M.Sc degree from Helsinki University of Technology (current Aalto University). He has been working in software industry since late 80’s for different companies ranging from banking/payment sector and defence to telecommunications. Past 15 years Timo has been heavily concentrating in sw development of embedded systems. At Bittium he has been working since 2012, contributing to different projects and specializing in improving quality practices and skills of software designers. His worktime responsibilities include contacts and collaboration with research partners, including the University of Oulu which is close to the company premises. His spare timeis consumed in study and research activities aiming for PhD – and all imaginable embedded gadgets, built in the cellar study room.

Bittium specializes in the development of reliable, secure communications and connectivity solutions, leveraging its 30 year legacy of expertise in advanced radio communication technologies. Bittium provides innovative products and customized solutions based on its product platforms and R&D services. Complementing its communications and connectivity solutions, Bittium offers proven information security solutions for mobile devices and portable computers. Bittium offers its customers also healthcare technology products and services in biosignal measuring in the areas of cardiology, neurology, rehabilitation, occupational health and sports medicine. See more www.bittium.com

 

Paper presentations

  • Technical papers: 30 minutes slot: 20 minutes presentation + 10 minutes discussion
  • Experience report: 20 minutes slot: 15 minutes presentation + 5 minutes discussion
  • Vision papers: 15 minutes slot: 10 minutes presentation + 5 minutes discussion

List of accepted papers

  • Simon Andre Scherr, Frank Elberzhager and Lisa Müller. Quality Improvement of Mobile Apps – Tool-supported Lightweight Feedback Analyses
  • Raquel Ouriques, Krzysztof Wnuk, Richard Svensson and Tony Gorschek. Thinking Strategically about Knowledge Management in Agile Software Development
  • Nuno Santos, Jaime Pereira, Nuno Ferreira and Ricardo-J. Machado. Modeling in agile software development: decomposing use cases towards (logical) architecture design
  • Philipp Hohl, Sven Theobald, Martin Becker, Michael Stupperich and Jürgen Münch. Mapping Agile to Automotive Software Product Line Concerns
  • Marcus Ciolkowski and Florian Lautenschlager. Making Runtime Data Useful for Diagnosis

 

Making available electronic preprint/postprint of your paper (for authors)

We would like to encourage you to self-archive your preprints in open/preserved repositories, in order to make available an electronic preprints of your accepted paper. For this purpose, we recommend generating a PDF version of your paper as a preprint, and submit it to arXiv.org, which supports article versioning.

For post-prints (version revised according to reviewers comments), bear in mind the Springer embargo period. You can share your author accepted manuscript in personal websites: https://www.springer.com/gp/open-access/authors-rights/self-archiving-policy/2124

Please, follow the policies of the following link https://profes2017.q-e.at/open-science-practices/, in order *not* to self-archive the publisher’s version of the PDF.

If you make a preprint or postprint of your paper available (which is recommended but optional), we kindly ask you to inform us via Silverio.Martinez(at)iese.fraunhofer.de with the link to make it publicly available on this web page.