
Bhavesh Bhatia developed a comprehensive statistics module for the dafny-lang/dafny repository, delivering core functions such as mean, median, mode, variance, and standard deviation within the Dafny standard libraries. He focused on formal verification to ensure mathematical correctness, leveraging Dafny’s specification language and proof capabilities. This work expanded the analytics capabilities available to verified Dafny code, reducing the need for external math libraries and supporting correct-by-construction data analysis. Bhavesh collaborated with other contributors and applied skills in Dafny programming, C#, and statistical analysis. The module’s depth reflects careful attention to both functional coverage and rigorous correctness guarantees.
November 2025: Delivered a comprehensive statistics module in the Dafny standard libraries, including functions for mean, median, mode, variance, and standard deviation, all with formal verification for correctness. Integrated into the dafny-lang/dafny repository via commit e794f305e3b952d06a61a92a3bda2aff98526a5f (subject: Statistics module in standard libraries, #6374) with co-authors Bhavesh Bhatia, Tanay261, and Robin Salkeld. This work expands built-in analytics capabilities for verified software, reducing reliance on external math libraries and enabling correct-by-construction data analysis. No major bugs fixed this month; the focus was on delivery, verification, and library coverage.
November 2025: Delivered a comprehensive statistics module in the Dafny standard libraries, including functions for mean, median, mode, variance, and standard deviation, all with formal verification for correctness. Integrated into the dafny-lang/dafny repository via commit e794f305e3b952d06a61a92a3bda2aff98526a5f (subject: Statistics module in standard libraries, #6374) with co-authors Bhavesh Bhatia, Tanay261, and Robin Salkeld. This work expands built-in analytics capabilities for verified software, reducing reliance on external math libraries and enabling correct-by-construction data analysis. No major bugs fixed this month; the focus was on delivery, verification, and library coverage.

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