Contextual Variability Modeling — Call for Papers
Submission deadline: 1 Apr. 2017
Publication: Nov./Dec. 2017
Software systems are becoming more context sensitive and increasingly exploit contextual information to handle the diversity of changes in and conditions of their environment. In specific application domains such as automotive systems, marine and aviation systems, windmill farms, and airport management systems, the timely use of and adaptation to contextual information is critical for the system’s normal operation. Consequently, a major concern is acquiring, analyzing, modeling, and managing contextual information for the plethora of systems that need to react and adapt to new contexts. These activities require appropriate software modeling and development techniques.
Moreover, the diverse scenarios that are driven by changes in the context demand software variability solutions that can dynamically select among alternatives. In particular, the ability to cope with different scenarios and options in which a system must select and adapt to new contexts at runtime introduces an extra level of complexity. This is because systems must make runtime decisions depending on varying context conditions. Emerging paradigms such as dynamic software product lines and runtime variability mechanisms play a central role to model and manage the variations using both context and noncontext features. Other emerging approaches are context-oriented programming languages that can handle the behavior of systems using contextual behavioral adaptations that can be activated or replaced dynamically to accommodate the systems’ and users’ varying needs.
This special issue will feature a variety of techniques, approaches, and case studies for modeling and developing context-sensitive systems that modify their behavior dynamically accordingly to varying conditions. We invite contributions related but not limited to
* context variability analysis and modeling techniques for context-aware systems;
* static and dynamic variability approaches dealing with context information;
* raising the awareness of software engineers, industry, and users for dealing with changes due to contextual variability;
* reconfiguration, rebinding, and dynamic-composition strategies for dealing with changing context information in self-adaptive and autonomous systems;
* dynamic adaptation and human interaction using context knowledge;
* context-variability-modeling challenges and solutions in application domains that rely on contextual information at runtime (for example, smart healthcare, intelligent vehicles, robotics and drones, Internet of Things systems, and smart cities), highlighting the strengths, weaknesses, and challenges of implementing such systems with context in mind;
* ontologies for discriminating and disambiguating related context information managing the behavior at runtime;
* collaborative aspects and feature dependencies for modeling software variability using context information in systems that exchange information in real time;
* context-oriented programming languages and other solutions for implementing context variability at runtime; and
* security aspects and solutions of dynamic adaptability in safety-critical scenarios.
Theme Issue Guest Editors
* Kim Mens, Université catholique de Louvain
* Rafael Capilla, Rey Juan Carlos University
* Thomas Kropf, Robert Bosch Car Multimedia and the University of Tübingen
* Herman Hartmann, NXP Semiconductors
Manuscripts must not exceed 4,700 words including figures and tables, which count for 250 words each. Submissions exceeding these limits might be rejected without refereeing. Articles deemed within the theme and scope will be peer reviewed and are subject to editing for magazine style, clarity, organization, and space. We reserve the right to edit the title of all submissions. Be sure to include the name of the theme issue for which you’re submitting.
Articles should have a practical orientation and be written in a style accessible to practitioners. Overly complex, purely research-oriented or theoretical treatments aren’t appropriate. Articles should be novel. IEEE Software doesn’t republish material published previously in other venues, including other periodicals and formal conference or workshop proceedings, whether previous publication was in print or electronic form. For more information, contact the guest editors at software6a-2017(a)computer.org<mailto:email@example.com>
For general author guidelines: www.computer.org/web/peer-review/magazines<https://www.computer.org/web/peer-review/magazines>
For submission details: software(a)computer.org<mailto:firstname.lastname@example.org>
To submit an article: https://mc.manuscriptcentral.com/sw-cs
Tenure track or tenured full time academic position in Large scale and cloud computing
Vacancy Reference : 10701 / EPL 016 / 2017 (to be quoted in any correspondence)
Université catholique de Louvain invites applications for a tenure track
or tenured full time position in Large scale and cloud computing.
The successful candidate will carry out research in the field of large
scale and cloud computing, including but not limited to distributed
computing, operating systems, software engineering, information
visualization, and large scale software systems. Still, other areas of
competence will also be considered, since the candidate's merit is
considered as a combination of specialization and scientific excellence.
The successful candidate will join the Institute of Information and
Communication Technologies, Electronics and Applied Mathematics
(ICTEAM) and will have teaching assignments in computer science within
the various degree programmes organised by the Ecole Polytechnique de
Louvain (EPL). Bachelor level courses are mostly taught in French,
master courses in English.
Starting date : 1st September, 2017
Application deadline : 15th November, 2016
Further information :
Professor Michel Verleysen, dean EPL - doyen-epl(a)uclouvain.be<mailto:email@example.com>
Professor Jean-Didier Legat, research director ICTM - president-ictm(a)uclouvain.be<mailto:firstname.lastname@example.org>
Science and Technology Sector
Louvain School of Engineering (http://www.uclouvain.be/en-epl.html)
Institute of Information and Communication Technologies, Electronics and
Applied Mathematics (http://www.uclouvain.be/en-ictm.html)
Tasks : the applicant will:
- be responsible for teaching courses at all study levels (i.e.
undergraduate and postgraduate), as well as in programmes of continuing
- supervise the final diploma research (i.e. theses) of undergraduate
and graduate students, as well as PhD students;
- be involved in (and/or supervise, promote) research programmes;
- contribute to the international visibility of the University through
teaching and research excellence;
- contribute to activities of the University with a societal impact in
the fields of the economy, socio-cultural changes or cooperation with
Qualifications : the applicant must have
- a PhD degree in Computer science, or any related discipline;
- a significant scientific record with international publications;
- either studied abroad for an extensive period or have had substantial
experience outside UCL;
- experience in and the aptitude for teaching at university level;
- the capacity to work within a team of teachers and to integrate
research findings into teaching;
- creativity and must be open to teaching innovation and interdisciplinarity;
- the capacities required to undertake academic research at a high level
and to advise, or lead, a research team;
- good knowledge of both spoken and written French and English. If this
is not the case, the applicant accept to learn French and/or English in
order to be able to teach in French and English within 2 years. Fluency
in other languages is an additional advantage.
- Follow the instructions on this page :
- Look for the job with Requisition ID 10701
- Follow the instructions of the career012.successfactors.eu<http://career012.successfactors.eu/> web
application in which you need to encode your application.
- Respect the submission deadline of Tuesday 15 November, 2016, at 11:59
pm at the latest.