Cognitive computing brings about a paradigm shift in computing by opening up new frontiers and computing models for software, and for design, programming, engineering and management of software and software-defined environments. These frontiers are building on the advances in artificial intelligence, machine learning, deep learning, big data processing technologies and natural language processing, some of which are inspired and empowered by learning from nature and our understanding of human brain function. Despite the sheer and rapid advances, engineering of cognitive software and services remain a challenge due to the lack of software engineering methods, tools and metrics to deal with unique and novel characteristics of cognitive systems and services.
In addition, recent advances with the convergence of advances in symbolic computing infused with cognitive control overlay, software engineering practices related to cloud computing, data science automation and autonomous software systems are demanding a new look at how to leverage these advances to create next generation distributed cognitive real-time self-managing intelligent systems. We believe that cognition and cognitive control overlay provide the glue that will bring a unifying framework creating the next generation cognitive software era.
The 1st International Workshop on Software Engineering for Cognitive Services (SE4COG) will be held as one of the workshops of 40th International Conference on Software Engineering (ICSE'2018).
The workshop aims at providing a forum for researchers and professionals interested in the software engineering aspects of cognitive software and services, and in understanding, envisioning and discussing the opportunities and challenges of software engineering and software development for cognitive services, and cognition in software engineering theories and practices. Recognizing the broad scope of the potential areas of interest, the workshop is organized into two themes, as follows.
Call For Papers
Theme 1: Foundations and Engineering of Cognitive Services
Building on advances in artificial intelligence, machine learning, natural language processing, this theme focuses on the foundation and engineering challenges of cognitive computing in moving from the current paradigm where the computing logic is prescribed by humans to machine, to a paradigm where the computing logic is codified into models that are learned by machines, from data, interactions and experiences. These computing logics could potentially range from being co-created by human and machines to being autonomously maintained by machines. Topics of interest includes but is not limited to the followings:
- Requirements engineering for cognitive services
- Methods and frameworks for data acquisition and user-led training of cognitive services
- Programming models, abstractions, languages for cognitive services development
- Model-driven and data-driven frameworks for cognitive services
- Agile methods for cognitive application development
- Trust, security and reliability of cognitive services
- Software architecture of cognition and cognition in software architecture
- Quality control of cognitive services
- Testing frameworks and methods for cognitive services and solutions
- Engineering of human factors and interactions in cognitive services and solutions
- Software engineering challenges for conversational systems (e.g. chatbots, dialog APIs, etc).
- Software engineering challenges for computer vision systems
- Aspects of composition and reusability of functional artificial intelligence assets such as algorithms or data management toolkits
Theme 2: Nature-inspired, Cyber-physical and Autonomous Cognitive Services
Nature-inspired computational technologies are gaining remarkable success these days, such as Deep Learning that found its inspiration in the learning in neural networks of the human brain. In order to solve the problem of control, maintenance and repair of huge and complex computational systems emerging with new technologies of Internet Of Things, Big Data, Cloud Computing, Cyber-physical systems, Augmented Reality and similar, one needs to look not only at the function of the brain, but also at the function of the whole living organism in interaction with the environment – the process known as cognition. Under this theme, the goal is to explore topics of interest in engineering of nature-inspired, cyber-physical and autonomous cognitive services.
We solicit papers addressing (but not limited to) the following topics:
- Current limitations and new approaches to self-managing distributed systems
- Adaptive Distributed Cognitive Computing
- Collaborative and Autonomic Cognitive Computing
- Cyber Physical Systems and Cognitive Computing Architectures
- Emerging policies, algorithms and architectural frameworks for Service Level Agreement (SLA) for unified computing infrastructures
- Intelligent systems for deploying and configuration of Clouds and Grid Services
- Emerging infrastructures, middleware, frameworks for Unified computing platforms
- Cognitive systems for unified and federated utility computing infrastructures
- Self-protecting systems - Security, Privacy, Trustworthiness for Public, Private, and Hybrid Clouds
Paper Submission Instructions
The workshop will accept two main contribution types:
- Position papers, 4-page limit, describing a position statement on issues related to the topics of the workshop. Position papers would lead to interesting discussion by raising key questions, controversial point of views, challenges, and ideas to address the identified issues.
- Research papers, 8-page limit, describing original and novel research work, including research results and evaluations. The papers may present the ongoing research, novel ideas with preliminary results, advances of the state of the art, analysis of the current results in state of the art or state of the practice, or experience in implementing the theories.
Each paper will be reviewed by at least three reviewers. Authors should submit their papers through EasyChiar through the following address: https://easychair.org/conferences/?conf=se4cog2018
ICSE 2018 workshop proceedings will be prepared by IEEE CPS and published by ACM. Workshop papers must follow the ACM formatting instructions . Papers should not have been published or submitted for publication concurrently elsewhere.
- Paper submission deadline: February 19, 2018
- Paper notification deadline: March 5, 2018
- Camera-ready deadline: March 19, 2018
- Workshop: May 28-29, 2018
Award and Support Program
Best Paper Award (500€)
Student travel support (selection details to come soon)
Hamid R. Motahari Nezhad (email@example.com)
Rao Mikkilineni (firstname.lastname@example.org)
Boualem Benatallah (email@example.com)
Adrian Mos (firstname.lastname@example.org)
Schahram Dustdar (email@example.com)
Fabio Casati (firstname.lastname@example.org)
Gordana Dodig-Crnkovic (email@example.com)
Mark Burgin, University of California, Los Angeles, USA
Tarry Singh, deeplearning@Coursera, Deepaka.ai, Amsterdam en omgeving, Nederland
Giuseppe Primiero, Middlesex University London, UK
Eugene Eberbach, Rensselaer Polytechnic Institute, USA
Robert Lowe, Chalmers Technical University, Sweden
Fabrizio Messina, Catania University, Italy
Giovanni Morana, C3DNA, Italy
Ramana Reddy, West Virginia University, USA
Ramiro Salas, Pivotal, USA
Peter Wegner, Brown University, USA
Samir Tata, Professor at Télécom SudParis, France
Samir Mittal, Micron, USA
Stefaneas S. Petros, National Technical University of Athens, Greece
Hector Zenil, University of Oxford and Wolfram Science
Gwendolyn Stripling , Qlik Technologies
Flavia Santoro, NP2Tec / UNIRIO, Brazil
Florian Daniel, Politecnico di Milano, Italy
Anup Kalia, IBM Research
Amin Beheshti, Macquarie University, Australia
Marcos Baez, University of Trento, Italy
Rama Akkiraju, IBM Watson, USA
Jean -Marc Andreoli, Naver LABS Europe, France