From Software Verification to Everyware Verification

Objective

In the words of Adam Greenfield, the age of ubiquitous computing is here: a computing without computers, where information processing has diffused into everyday life, and virtually disappeared from view . Conventional hardware and software has evolved into everyware sensor-enabled electronic devices, virtually invisible and wirelessly connected on which we increasingly often rely for everyday activities and access to services such as banking and healthcare. The key component of everyware is embedded software, continuously interacting with its environment by means of sensors and actuators. Ubiquitous computing must deal with the challenges posed by the complex scenario of communities of everyware , in presence of environmental uncertainty and resource limitations, while at the same time aiming to meet high-level expectations of autonomous operation, predictability and robustness. This calls for the use of quantitative measures, stochastic modelling, discrete and continuous dynamics and goal-driven approaches, which the emerging quantitative software verification is unable to address at present. The central premise of the proposal is that there is a need for a paradigm shift in verification to enable everyware verification, which can be achieved through a model-based approach that admits discrete and continuous dynamics, the replacement of offline methods with online techniques such as machine learning, and the use of game-theoretic and planning techniques. The project will significantly advance quantitative probabilistic verification in new and previously unexplored directions. I will lead a team of researchers investigating the fundamental principles of everyware verification, development of algorithms and prototype implementations, and experimenting with case studies. I will also provide continued scientific leadership in the area of ubiquitous computing.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

• natural sciences computer and information sciences software
• engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
• natural sciences computer and information sciences artificial intelligence machine learning
• natural sciences computer and information sciences data science data processing

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

• FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

• ERC-AG-PE6 - ERC Advanced Grant - Computer science and informatics

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

ERC-2009-AdG
See other projects for this call

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

ERC-AG - ERC Advanced Grant

Host institution

Beneficiaries (1)