PPT-Using history invariants to verify observers
Author : briana-ranney | Published Date : 2016-06-08
K Rustan M Leino and Wolfram Schulte Microsoft Research Redmond ESOP 2007 Braga Portugal 28 March 2007 Overall goal Specify and statically verify programs Use modular
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Using history invariants to verify observers: Transcript
K Rustan M Leino and Wolfram Schulte Microsoft Research Redmond ESOP 2007 Braga Portugal 28 March 2007 Overall goal Specify and statically verify programs Use modular verification local reasoning. With Liquid . Types. Ranjit. . Jhala. , UC San Diego. (with Pat . Rondon. , Ming Kawaguchi). Part I. First-Order Verification. Part II. Higher-Order Verification. char* . rev_copy. (. char* . a, . int. . Işil. . Dillig. , Thomas . Dillig. , and Alex Aiken. Stanford University. Simplifying Loop Invariant Generation Using Splitter Predicates. Loops and Loop Invariants. Invariant. evaluates . to . true. Microsoft Research. Redmond, WA, USA. Angela Wallenburg. Chalmers University of Technology. G. öteborg, Sweden. Class-local object invariants. 20 Feb 2008. ISEC 2008. Hyderabad, India. Program verification. . Videotape and the Attribution Process:. Reversing Actors’ and Observers’ Points of View. . Katie Harnish. Outline. Background. Methods. Results. Discussion. Questions. Reference. Fundamental Attribution Error (FAE). Research Administrator’s Network Meeting. November 1, 2012. David Day, University Human Resources. Why is E-Verify important to . us. :. $168M. . of federal contracts at UM have the E-Verify requirement. Swarup. Kumar . Sahoo. John Criswell. Chase . Geigle. Vikram. . Adve. 1. Department of Computer Science. University of Illinois at Urbana-Champaign. Motivation - 1. 2. Software bugs cost ~$59.5 billion annually (about 0.6% of the GDP). January . 201. 7. GOV.UK Verify gives safer, simpler, faster access to services. . [insert image tbc]. GOV.UK Verify is the new way to prove who you are online.. [insert new logo]. Safer, . simpler, faster access to services . -X. : A Comprehensive Invariant based . Approach for . Performance Diagnosis in Big Data Platform. Pengfei. Chen. Xi’an . Jiaotong. university. 2014-9-2. Background. National Defense. Health. SDN Data & Control Planes:. Header Space Analysis. SDN Stack. State layers . hold a . representation . of the . network’s configuration. . Code layers implement. logic . to maintain the . mapping between . Ranjit. . Jhala. , UC San . Diego. (with Pat . Rondon. , Ming Kawaguchi). char* . rev_copy. (. char* . a, . int. n){. . i. = 0;. j = n – 1;. b = . malloc. (n);. . while. (0<=j){. b[. Gaunnan Guo. 1. Ironfleet: proving practical distributed systems correct. Chris Hawblitzel, Jon Howell, Manos Kapritsos, Jacob R. Lorch, Bryan Parno, Michael L. Roberts, Srinath Setty, Brian Zill. Presented by Wesley Ma. Ranjit Jhala, UC San Diego. Checking. Properties. Of Software. Static Safety Verification. Dynamic Liveness Testing. char* . rev_copy. (. char* . a, . int. n){. . i. = 0;. j = n – 1;. b = . multiple observers. independent observers. observers sample same locations simultaneously and independently. match observations when the point count is over. matched observations, together with observations unique to each observer, provide information about each observers unique detection probability. Learning Objectives. Understand your . R. ole in I-9 / E-Verify Compliance . Understand the Connection between the Hire iForm and Automated Electronic I-9 Process. Understand the E-Verify Process. Learn Quick .
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