Experiments in validating formal semantics for c

The query engine uses a novel optimization technique based on materialized views called materialized provenance views (MPV) to scale with increasing data size and query complexity.

This comprehensive ontology-driven provenance infrastructure not only allows effective tracking and management of ongoing experiments in the Tarleton Research Group at the Center for Tropical and Emerging Global Diseases (CTEGD), but also enables researchers to retrieve the complete provenance information of scientific results for publication in literature.

One goal of the Summer Institute will be interdisciplinary team building, resulting in joint publications at the end of the project.

A second goal will be capacity building, especially the acquisition of methods in the neighboring fields.

The informal presentation Abstract Interpretation in a Nutshell aims at providing a short intuitive introduction to the theory.

A video introduces program verification by abstract interpretation (in French: « : there's is no mechanical method that can always answer truthfully whether programs may or not exhibit runtime properties — including absence of any run-time error —.

Angelika Kratzer, Professor of Linguistics, University of Massachusetts at Amherst.

Manfred KRIFKA, Professor of General Linguistics at Humboldt Universität Berlin and Director of the Zentrum für Sprachwissenschaft, Berlin (ZAS).

Crucial sources of evidence are the researcher’s intuitions about the truth-conditions of sentences.

Further, effective analysis of provenance information requires well-defined query mechanisms to support complex queries over large datasets.

This paper introduces an ontology-driven provenance management infrastructure for biology experiment data, as part of the Semantic Problem Solving Environment (SPSE) for Provenance Management System (PMS), is underpinned by (a) a domain-specific provenance ontology called Parasite Experiment ontology, (b) specialized query operators for provenance analysis, and (c) a provenance query engine.

This encompasses many embedded programs as found in earth transportation, nuclear energy, medical instrumentation, aeronautic, and aerospace applications, in particular synchronous control/command such as electric flight control [30], [31] or space vessels maneuvers [32].

The main applications of has achieved the following unprecedented results on the static analysis of synchronous, time-triggered, real-time, safety critical, embedded software written or automatically generated in the C programming language: , a formal theory of discrete approximation applied to the semantics of the C programming language.

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