Call for Papers
Technical Track @ 45th EUROMICRO SEAA Conference in Thessaloniki / Chalkidiki, Greece
Evidence Based and Experiment Driven Engineering (EBEDE)
August 28-30, 2019
The amounts of customer and product data that are collected by companies across domains is growing exponentially. Connected software-intensive products permeate virtually every aspect of our lives and the actions we take generate data revealing what products are used, when they are used and how they are used. By instrumenting features, companies can continuously measure what features that add value to customers and how their products perform in the field.
However, research shows that companies, despite collecting large amounts of data, make poor use of this data in their R&D activities. This results in limited effectiveness of R&D in terms of the business value created for the effort that is invested. Some research suggests that half or more of the new features added to typical software systems are waste due to the lack of value created to customers. In addition, research shows that up to 90% of R&D resources are spent on commodity functionality that do not add value to customers.
Consequently, there is a significant opportunity for software engineering to increase its effectiveness by adopting evidence based and experiment driven approaches to software engineering (such as experimentation, data analytics and design thinking etc.) to accomplish a transformation from the traditional requirements-driven engineering to an outcome/data-driven engineering approach.
The transition towards evidence based and experiment driven engineering is, however, far from trivial and companies experience a number of challenges when trying to improve and accelerate their use of data. Even companies with well-established experimentation practices, such as e.g. A/B testing, find it challenging to scale results to impact more than only smaller improvements and optimizations of individual features. Typically, despite availability and access to data, decisions concerning new product development and innovation fall back on opinions and internal assumptions rather than being based upon data and external validation.
In this special session, we invite articles on the following topics (though not limited to):
In particular, we encourage submissions demonstrating the benefits and/or challenges involved when transitioning towards evidence-based and experiment-driven engineering, submissions presenting architectures and technologies for experimentation, submissions reporting on experiences when adopting data-driven development practices, and submissions providing empirical case study data to illustrate how companies approach this shift in development paradigms. Special session organizers: Helena Holmström Olsson, Malmö University, Sweden (email@example.com) Jan Bosch, Chalmers University of Technology, Sweden (firstname.lastname@example.org) The conference proceedings in the last years have been published by the IEEE Computer Society. The format is the IEEE two-column proceedings format (8 pages for full papers and 4 pages for short papers). Submission will be handled via EasyChair (https://www.easychair.org/conferences/?conf=seaa2019); please find general submission information for SEAA on the conference homepage (http://dsd-seaa2019.csd.auth.gr). Please note that it is planned to select best papers among all tracks of SEAA and present them with an award. A selection of best papers will be invited to submit extended versions for tentative publication in a requested Special Issue of a Journal (under negotiation).
Program Committee (to be confirmed)
Aleksander Fabijan, Microsoft, Seattle, USA
Pavel Dimitriev, Outreach, Seattle, USA
Philipp Leitner, Chalmers University of Technology, Sweden
Christoph Elsner, Siemens AG, Corporate Technology, Germany
Jürgen Münch, Reutlingen University, Germany
Matthias Tischy, Ulm University, Germany
Eric Knauss, Chalmers University of Technology
Klaas-Jan Stol, University of Limerick, Ireland
Daniel Ståhl, Linköping University, Sweden
Slinger Jansen, Utrecht University, Netherlands
Christa Schwanninger, Siemens AG, Corporate Technology, Germany
Brian Fitzgerald, University of Limerick, Ireland
Ilias Gerostathopoulos, Technische Universität München
Tomas Bures, Charles University, Czech Republic