PPT-Type-Based Data Structure Verification
Author : kittie-lecroy | Published Date : 2017-08-28
Ming Kawaguchi Patrick Rondon Ranjit Jhala University of California San Diego Goal Static Software Verification Verify absence of runtime errors Buffer overflows
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Type-Based Data Structure Verification: Transcript
Ming Kawaguchi Patrick Rondon Ranjit Jhala University of California San Diego Goal Static Software Verification Verify absence of runtime errors Buffer overflows Deadlocks Assertion failures. Director: Tevfik Bultan. Research areas . automated verification. , . program analysis. , . formal methods. , . software engineering. , . computer security. Recent research results. String analysis for web application vulnerability . Overview. What’s new in this verification process?. Changes to reports. Known issues in the 2013 reports. Verifying completions. What’s coming up. Confirmation checkbox . What’s new for verification. Componen. t-. Based Information Systems. Jan Martijn van der Werf. Organizations cooperate. Bob. Charley. Alice. “Who-knows-who” not transitive!. Dave. Organizations deliver services. Bob. Charley. Masayaki. Abe, NTT. Jens Groth, University College London. Miyako. Ohkubo, NICT . Mehdi . Tibouchi, NTT. Unified. Minimal. Small signatures and low verification complexity. Single group element public verification keys. Computer-Aided Drug Discovery. Mike Gilson. School of Pharmacy. mgilson@ucsd.edu. 2-0622. Outline. Overview of drug discovery. Structure-based computational methods. When we know the structure of the targeted protein. Nebraska Association of Student Financial Aid administrators. Verification. Process of verifying accuracy of Free Application for Federal Student Aid (FAFSA) data. Regulations define:. Whose application must be verified. http://heimshelp.education.gov.au/sites/heimshelp/support/pages/webinar-simplifying-verification. Overview. What is . verification?. Validations and verification – what’s the difference?. Why do you have to verify your data?. 0.5% cell change. →. 15%. Crick & . Magdoff. (1956) . “theory method . isomorphous . replacement”, . Acta. . Cryst. . . 9. , 901-8.. Same structure, different cell. Same structure, different cell. Ming Kawaguchi, . Patrick . Rondon. , Ranjit Jhala. University of California, San Diego. Goal: Static Software Verification. . Verify absence of run-time errors. Buffer overflows. Deadlocks. Assertion failures. Characteristics of a variable of a specific ‘data type’ . has specific values or range of values that it can hold. Ex. char variables can hold only characters defined by the ASCII or extended ASCII code sets (i.e. 0 to 255). These similar elements could be all . ints. , or all floats, or all chars, etc. . All arrays consist of contiguous memory locations. . The lowest address corresponds to the first element and the highest address to the last element.. Nikolay. . Malitsky. EPICS Collaboration Meeting. San Francisco, USA. October 5, 2013 . Outline. Objectives. : new scope, new scale, new applications. Incremental Approach. : big picture, classic and HDF5 versions . Dimitrios Vytiniotis, Microsoft Research. dimitris@microsoft.com. . May 2010. Software is hard to get right*. Which . tools. can help programmers write reliable code?. How to make these tools . more practical. for . SpaceWire. Codec. Simone Vagaggini. 1,2. , Marco Trafeli. 1. , Daniele Davalle. 1. , . Lucana Santos. 3. , . Roberto Ciardi. 1,2. , P. ietro. Nannipieri. 2. , L. uca. Fanucci. 2. SpacE. FPGA Users Workshop (SEFUW) 2023, ESTEC, .
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