CALL FOR POSITION STATEMENTS ------------------------------------------------------------------------------- U.S. Census Bureau National Institute of Standards and Technology (NIST)
Formal Methods for Statistical Software 1 May 2019 Historical Inns, Annapolis, MD, USA https://samate.nist.gov/FMSwVRodeo/FMfSS2019.html co-located with High Confidence Software and Systems (HCSS) conference https://cps-vo.org/group/hcss_conference ------------------------------------------------------------------------------- Statistical software and related data analysis pose different challenges than typical software. A simplistic pseudorandom number generator may offer sufficient randomness for a video game, but be inadequate for valid Monte Carlo simulation or other stochastic algorithms. Likewise, erroneous implementations of mathematical functions may generate results that look correct, but which fail in unpredictable ways—examples of which include both errors in floating point division implementations and bugs in differential privacy implementations that leak confidential data into supposedly “privatized” outputs. Such errors are typically missed by traditional testing. Formal methods can complement testing to gain greater assurance that critical portions of programs are correct and that results are valid. Although there is a vast expanse of formal methods, tools, and techniques, they are rarely applied to such software. This workshop asks, what formal methods can mitigate, detect, correct, or preclude flaws in statistical software or errors of incorrect use? We call for position statements from one to three paragraph long. Position statements may be on topics like the following: - types of errors, bugs, and failures in statistical software or its use - formal methods that can assure statistical software or its results - correct-by-construction approaches - lists or definitions of important properties, such as convergence and differential privacy - gaps in current capabilities and specific research needed - higher-level, non-procedural languages or tools so a statistician can specify the desired analysis instead of how to achieve it - approaches to gain assurance in statistical software and its use SUBMISSIONS: Submit position statements through EasyChair by 2 March 2019: https://easychair.org/conferences/?conf=fmfss2019 Based in part on position statements, we will invite presentations no later than 1 April 2019. Attendance space is limited. PUBLICATION: We will publish a workshop report, including selected position statements, in autumn. The output of this workshop will inform a white paper on formal methods for statistical software and also the Rodeo for Production Software Verification Tools based on Formal Methods: https://samate.nist.gov/FMSwVRodeo/ IMPORTANT DATES: 2 March: Position statement submission deadline 1 April: Presenter invitation 1 May: Workshop PEOPLE: Co-Chairs Paul E. Black paul.bl...@nist.gov Simson L. Garfinkel simson.l.garfin...@census.gov _______________________________________________ hol-info mailing list hol-info@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/hol-info