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DIAS 2017 : Development aspects of Intelligent Adaptive Systems 2017

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Link: https://sites.google.com/site/devias2017/
 
When Feb 5, 2017 - Feb 5, 2017
Where Jaipur, India
Submission Deadline Jan 8, 2017
Notification Due Jan 18, 2017
Final Version Due Feb 1, 2017
Categories    AI   planning   scheduling   software architectures
 

Call For Papers

(co-located with 10TH INNOVATIONS IN SOFTWARE ENGINEERING CONFERENCE (ISEC) - 2017, Jaipur, India) ISEC was formerly known as Indian Software Engineering Conference.

This Workshop is a continuation of the workshop titled Software Architectures for Adaptive Autonomous Systems (SAAAS 2016) co-located with ISEC-2016, Goa, India. The focus of the earlier workshop was to explore the architectural elements of software which can exhibit intelligent behavior essential to manage and operate large and complex systems.
The scope of the proposed workshop is more holistic. In this, we want to explore the distinguishing characteristics of the life-cycle phases of adaptive software including design and implementation.

The motivation for the subject of the workshop is derived from the Internet of Things (IoT), which is revolutionizing all domains of industry and society through an unprecedented proliferation of cyber-physical systems and their integration
using a variety of communication protocols. Potential to create high value solutions due to digitalization of everything is highly perceived especially in use-cases surrounding users as in Smart Cities, industrial manufacturers (robots, drones, 3-D printers, Industry 4.0), automotive (autonomous cars from Google, Tesla), service operators (e.g. transport) and government authorities. The remarkable value proposition in these systems is derived from (1) the knowledge and insight about the world gained from the prodigious amount of data using the sensing capability and (2) automatic control of the systems to affect changes to the systems and environment through the actuation capability, of the IoT devices.

On the contrary, IoT based systems are incredibly complex; this complexity in the management and operation of these systems arises out of not only the sheer scale but also the variety and mobility of the constituent devices and their integration
through innovative applications. Consequently, since all the states of the system and the environment cannot be foreseen as design time, there is a growing trend towards designing such systems as can adapt to the changing requirements, internal state and the environments. Such adaptive systems need to be autonomous – they learn the need for change without an external (manual) trigger and integrate the changed behavior through self-* (self-configuring, self-managing, self-healing) mechanisms.

Since the paradigm of adaptivity and the architectural elements such as learning and decision making are completely different from the traditional software development, there is a pressing need to have rigorous methodologies to specify, develop and test such systems. This is necessary from the perspectives of optimizing the system performance across the changes during the system run-time and more critically, from the point of view of ensuring safety and developing confidence in the intelligent systems, taking note of the accidents involving autonomous cars from Google and Tesla, and a number of accidents involving robots in the industry, leading to fatalities.

In this workshop, we want to analyze and understand the impact of the new paradigm on the different phases of the life cycle of adaptive software and explore interesting solutions, frameworks and algorithms to address the new challenges. This includes the formal specification of requirements of adaptivity, design and architectural patterns to help develop adaptive systems exhibiting real-time performance, formal verification of such systems against the requirements, test generation and execution, runtime verification and debugging support which must now take into account the evolving nature of the system and environment since otherwise, one would be testing or debugging an obsolete system.

There have been attempts to address these questions in the literature, albeit in simpler systems that were not autonomous. The adaptivity requirements have been specified as transition invariants, formal languages temporal logics) to specify the
structural and behavioural change in the programs. Reference architectures have been suggested to design and implement adaptive systems: MAPE-K, Adaptive Enterprise, PELEA, SOA-PE are some examples. A huge body of literature for planning and replanning in problem solving domains provides algorithms for adaptivity in systems, through formal specification of domains and problems (e.g. using standardized languages like PDDL) and a host of search techniques and tools. However, there is a distinct void in the space of requirement specification, formal verification, run time verification and
debugging of the adaptive autonomous systems.

The purpose of this workshop is to enumerate these issues, survey the recent works and propose possible solutions. Another important purpose is to consolidate a local community including academicians and industrial practitioners for symbiotic research interaction in the field of adaptive systems and intelligent software. It will comprise of invited papers as well as a few invited talks in the area.

Call for paper
--------------
We invite technical papers describing original and unpublished results of conceptual,
empirical, and experimental work in the area of intelligent, adaptive systems. The workshop will provide a platform for researchers and practitioners to meet and share cutting-edge advancements in the field. Submissions are invited in all aspects of building adaptive systems including but not limited to, the following:

. Requirements specification
. Software Architecture
. Multi-agent systems
. AI planning techniques
. Dynamic planning
. Execution monitoring and control systems
. Process specification and management
. Leveraging analytics for autonomous systems
. Verification and testing

However, the focus of the workshop being intelligent, adaptive systems, the papers
must address problems that are relevant to the aspect of adaptivity in these systems
and not address problems for general systems.

There are two tracks in the workshop: (1) the regular paper track will require details
of novel problems and/or novel solution approaches in the scope of the workshop, (2) the
work-in-progress track will include on-going work or innovative ideas in order to
encourage the presenters with early feedback and giving opportunity for collaborations.

It is likely that, as in previous years, the proceedings of DIAS 2017 workshop will be published in CEUR.

A formal proposal to CEUR will be made after the program is finalized..

Working notes of the workshops (including papers to be eventually published in the joint workshop volume) will be printed locally for distribution on the workshop day.

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