Radhia Cousot

Radhia Cousot (6 August 1947 – 1 May 2014) was a French computer scientist known for inventing abstract interpretation.

Studies
Radhia Cousot was born on 6 August 1947, in Sakiet Sidi Youssef in Tunisia, where she survived the massacre of the children in her school on February 8, 1958. She then went to the Lycée de jeunes filles at Sousse, the Lycée français at Algiers and then the Polytechnic School of Algiers (where she was ranked 1st and the only woman). She specialized in mathematical optimization and integer linear programming. Supported by a UNESCO fellowship (1972–1975), she obtained a master's degree in Computer Science (Diplôme d'études approfondies (DEA)) at the Joseph Fourier University of Grenoble in 1972. She obtained her Doctorate ès Sciences/State Doctorate in Mathematics in Nancy in 1985 under the supervision of.

Career
Radhia Cousot was appointed Associate research scientist at the IMAG laboratory of the Joseph Fourier University of Grenoble (1975–1979) and, from 1980 on, at the Centre national de la recherche scientifique, as junior research scientist, research scientist, senior research scientist, and senior research scientist emerita at the Computer Science laboratories of the Henri Poincaré University of Nancy (1980–1983), the University of Paris-Sud at Orsay (1984–1988), the École Polytechnique (1989–2008) where from 1991 she headed the research team “Semantics, Proof and Abstract interpretation”, and the École Normale Supérieure (2006–2014).

Scientific achievements
Together with her husband Patrick, Radhia Cousot is the originator of abstract interpretation, an influential technique in formal methods. Abstract interpretation is based on three main ideas. In her thesis, Radhia Cousot advanced the semantics, proof, and static analysis methods for concurrent and parallel programs.
 * 1) Any reasoning/proof/static analysis on a computer system refers to a semantics describing, at some level of abstraction,  its possible executions.
 * 2) The reasoning/proof/static analysis should abstract away all semantic properties irrelevant to the reasoning.
 * 3) Because of undecidability, sound, fully automated, and always terminating reasonings on/proofs/static analysis of computer systems must perform mathematical inductions in the abstract and so, can only be approximate (even with finiteness and decidability hypothesis, because of combinatorial explosion beyond tiny systems).

Radhia Cousot is at the origin of the contacts with Airbus in January 1999 that led to the development of Astrée run-time error analyzer from 2001 onwards, a tool for sound static program analysis of embedded control/command software developed at the École Normale Supérieure and now distributed by AbsInt GmbH, a German software company specialized on static analysis. Astrée is used in the transportation, space, and medical software industries.

Awards
With Patrick Cousot, she received the ACM SIGPLAN Programming Languages Achievement Award in 2013 and the IEEE Computer Society Harlan D. Mills award in 2014 for “the invention of ‘abstract interpretation’, development of tool support, and its practical application”.

Radhia Cousot best young researcher paper award
Since September 2014, the Radhia Cousot best young researcher paper award is attributed annually by the program chair on behalf of the program committee of the Static Analysis Symposia (SAS).


 * 2014 (Munich, Germany): Aleksandar Chakarov (University of Colorado, Boulder, CO, USA), Expectation invariants for probabilistic program loops as fixed points (with Sriram Sankaranarayanan), M. Müller-Olm & H. Seidl (Eds.): SAS 2014, LNCS 8723, pp. 85–100, Springer
 * 2015 (Saint Malo, France): Marianna Rapoport (University of Waterloo, Ontario, Canada), Precise Data Flow Analysis in the Presence of Correlated Method Calls, (with Ondrej Lhoták and Frank Tip), S. Blazy & T. Jensen (Eds.): SAS 2015, LNCS 9291, pp. 54–71, Springer
 * 2016 (Edinburgh, Scotland): Stefan Schulze Frielinghaus (Technische Universität München, Germany), Enforcing Termination of Interprocedural Analysis, (with Helmut Seidl and Ralf Vogler), Xavier Rival (Ed.): SAS 2016, LNCS 9837, pp. 447–468, Springer
 * 2017 (New York, NY, USA): Suvam Mukherjee (Indian Institute of Science, Bangalore, India) and Oded Padon (Tel Aviv University, Israel), Thread-Local Semantics and its Efficient Sequential Abstractions for Race-Free Programs, (with Sharon Shoham, Deepak D'Souza, and Noam Rinetzky), Francesco Ranzato (Ed.): SAS 2017, LNCS 10422, pp 253–276, Springer