StatWhy: Formal Verification Tool for Statistical Hypothesis Testing Programs
May 25, 2024 ยท Declared Dead ยท ๐ International Conference on Computer Aided Verification
"No code URL or promise found in abstract"
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Authors
Yusuke Kawamoto, Kentaro Kobayashi, Kohei Suenaga
arXiv ID
2405.17492
Category
cs.SE: Software Engineering
Cross-listed
cs.AI,
cs.LO
Citations
0
Venue
International Conference on Computer Aided Verification
Last Checked
3 months ago
Abstract
Statistical methods have been widely misused and misinterpreted in various scientific fields, raising significant concerns about the integrity of scientific research. To mitigate this problem, we propose a tool-assisted method for formally specifying and automatically verifying the correctness of statistical programs. In this method, programmers are required to annotate the source code of the statistical programs with the requirements for these methods. Through this annotation, they are reminded to check the requirements for statistical methods, including those that cannot be formally verified, such as the distribution of the unknown true population. Our software tool StatWhy automatically checks whether programmers have properly specified the requirements for the statistical methods, thereby identifying any missing requirements that need to be addressed. This tool is implemented using the Why3 platform to verify the correctness of OCaml programs that conduct statistical hypothesis testing. We demonstrate how StatWhy can be used to avoid common errors in various statistical hypothesis testing programs.
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