@inproceedings{c91989ceab5248d58fd7ad57c8286228,
title = "SC2: Satisfiability Checking meets Symbolic Computation (Project Paper)",
abstract = "Symbolic Computation and Satisfiability Checking are two research areas, both having their individual scientific focus but sharing also common interests in the development, implementation and application of decision procedures for arithmetic theories. Despite their commonalities, the two communities are rather weakly connected. The aim of our newly accepted SC2 project (H2020-FETOPEN-CSA) is to strengthen the connection between these communities by creating common platforms, initiating interaction and exchange, identifying common challenges, and developing a common roadmap from theory along the way to tools and (industrial) applications. In this paper we report on the aims and on the first activities of this project, and formalise some relevant challenges for the unified SC2 community.",
author = "Erika Abraham and John Abbott and Bernd Becker and Bigatti, {Anna M.} and Martin Brain and Bruno Buchberger and Alessandro Cimatti and James Davenport and Matthew England and Pascal Fontaine and Stephen Forrest and Alberto Griggio and Daniel Kroening and Werner Seiler and Thomas Sturm",
year = "2016",
month = jul,
day = "12",
doi = "10.1007/978-3-319-42547-4_3",
language = "English",
isbn = "9783319425467",
series = "Lecture Notes in Artificial Intelligence",
publisher = "Springer International Publishing",
number = "9791",
pages = "28--43",
editor = "M. Kohlhase and M. Johansson and B. Miller and {de Moura}, L. and F. Tompa",
booktitle = "Intelligent Computer Mathematics",
address = "Switzerland",
}