SWQD 2017 - Software Quality Days 2017

The 9th Software Quality Days (SWQD) conference and tools fair ? one of the largest software quality conferences in Europe - will bring together researchers and practitioners from business, industry, and academia working on quality assurance and quality management for software engineering and information technology.
In 2017 the SWQD conference hosts the 6th scientific program on research and industry experience. The guiding topic for 2017 will be “Quality of Things - Complexity and Challenges of Software Engineering in Emerging Technologies”.
Main Scientific Program
High software and systems quality are success-critical factors in engineering practices and refer to product, process, and service quality. However, quality attributes have to be embodied within individual phases of software and systems development.
In distributed engineering environments, where various stakeholders coming from heterogeneous disciplines have to collaborate and interact efficiently. Additional quality attributes with focus on collaboration and data exchange apply. Mobile environments typically refer to product quality and include quality requirements regarding usability, interaction, safety and security.
Following the guiding topic we welcome contributions related to software and systems quality in context of distributed and mobile environments.
Topics of interest for research and industrial experience paper include but are not limited to
System and software quality management methods
Improvement of software development methods and processes
Testing and quality assurance of software and software-intensive systems
Process and quality assurance automation
Requirements Engineering and Management
Project and Risk Management
Effort and quality estimation
Metrics (product, process, project)
Domain specific quality issues such as embedded, medical, automotive systems
Novel trends in software quality
Special Session on Testing the Internet of Things (T-IoT)
Special Session Chair
Ina Schieferdecker, Fraunhofer Institute for Open Communication Systems FOKUS
The objective of the Testing the Internet of Things track (T-IoT) is to establish a fruitful and meaningful dialog among systems practitioners and with systems engineering researchers in embedded systems (ES), cyber-physical systems (CPS), and the Internet of Things (IoT) on the challenges, obstacles, results (both good and bad), and lessons learned associated with the massive deployment of Internet of Things solutions in various safety- and security-critical environments. The T-IoT presentations will provide accounts of the application of testing and test engineering practices (which may be principles, techniques, tools, methods, processes, testing techniques etc.) to a specific domain or to the development of a significant IoT system. In particular, we are interested in new methods, experiences, best practices, etc. on how to assure the quality, safety, security, reliability, resilience and trustworthiness of IoT systems during development, for certification and deployment, and in operation and maintenance. We would like the T-IoT presentations to be of interest to system development professionals as well as to quality groups for such software-based systems.
Possible topics include (but are not limited to):
Risk-oriented testing, security testing, performance testing, scalability testing for IoT devices and solutions
Quality assurance and certification for IoT devices and solutions
Simulation and testing of large-scale IoT deployments
IoT test platforms and tools
Common Paper submission information
Technical Research and Industrial Experience Papers
The scientific program of SWQD 2017 accepts two categories of conference submissions. In both categories, papers with practical relevance and already conducted practical evaluation will be preferred.
Technical Research Papers should describe innovative research in software quality concepts, standards, processes, methods, or tools. They should describe a novel contribution to the field or significantly improve existing solutions. The proposed solution technique or its application to this kind of problem must be novel and sound. The author(s) must provide (empirical) validation of the proposed solution, for example, a proof-of-concept and sound arguments that the solution technique will scale to real-world-sized problems. Results must be stated clearly so that the author(s) or others can further validate them in later research. A technical solution paper should also be clear about its contributions with respect to related work by others and to previous work by the author(s).
Industrial Experience Papers should describe a significant experience in applying software quality technology in a real-world context and should carefully identify and discuss important lessons learned so that other researchers and/or practitioners can benefit from the experience. The author(s) should provide (empirical) evidence supporting the experience and derived conclusions.