PPT-Spring 2013 Program Analysis and Verification

Author : slygrat | Published Date : 2020-08-26

Lecture 1 Introduction Roman Manevich BenGurion University December 31 2008 30GB Zunes all over the world fail en masse 2 Zune bug 1 while days gt 365 2 if

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Spring 2013 Program Analysis and Verification: Transcript


Lecture 1 Introduction Roman Manevich BenGurion University December 31 2008 30GB Zunes all over the world fail en masse 2 Zune bug 1 while days gt 365 2 if IsLeapYear year . Prof. Ray Larson . University of California, Berkeley. School of Information. Principles of Information Retrieval. Lecture 4: . Boolean IR System Elements . IS 240 – Spring 2013. Review. Review. Elements of IR Systems. 2013-14 and 2014-15. Carney McCullough. Ginger Klock. U.S. Department of Education. Agenda. 2013-2014. Overview. New items and documentation. Verification text. Tracking groups and flags. Selection. Hot topics. can . be incorporated in teaching. K. Rustan M. Leino. Research in Software Engineering (. RiSE. ). Microsoft Research, Redmond, WA, USA. Invited talk. Informatics Education in Europe (IEE III’08). Tanya McGee. Katie Starling. Kansas State University. October 3, 2013. Agenda. 2013-2014: Where we are. 2014-2015: Where we are going. Impact of GEN-13-12. Discussion/Question & Answer. 2013-2014 Verification. 2013-14 and 2014-15. Carney McCullough. Ginger Klock. U.S. Department of Education. Agenda. 2013-2014. Overview. New items and documentation. Verification text. Tracking groups and flags. Selection. Hot topics. Prof. Ray Larson . University of California, Berkeley. School of Information. Principles of Information Retrieval. Lecture . 22: Future Search. Credit for several of the slides in this presentation goes . Sumit Gulwani. sumitg@microsoft.com. Microsoft Research, Redmond. August 2013. Marktoberdorf. Summer School Lectures: Part 1. 1. Synthesis. Goal: . Synthesize a computational concept in some . underlying language. Lecture 15. Introduction to Program. Analysis. Program Analysis. auxiliary information. (hints, proof steps, types). Can come . from compiler or user. Goal:. Automatically computes potentially useful information about the program.. Sumit Gulwani. sumitg@microsoft.com. Microsoft Research, Redmond. August 2013. Marktoberdorf. Summer School Lectures: Part 1. 1. Synthesis. Goal: . Synthesize a computational concept in some . underlying language. University of California, Berkeley. School of Information. Principles of Information Retrieval. Lecture 3: IR System Elements (cont) . IS 240 – Spring 2013. Review. Review. Central Concepts in IR. Documents. Carney McCullough. Ginger Klock. U.S. Department of Education. Agenda. 2013-2014. Overview. New items and documentation. Verification text. Tracking groups and flags. Selection. Hot topics. 2014-2015. SMT workshop 2012. Nikolaj . Bjørner. , Ken McMillan, . Andrey. . Rybalchenko. Microsoft Research. Takeaways. Program Verification . as . Solving Recursive Horn Clauses . . as . Satisfiability. K. Rustan M. Leino. RiSE. , Microsoft Research, Redmond. PROLE 2009. 09/09/2009. San Sebastian, Spain. Software quality assurance. A major software engineering concern. Costly. Relies heavily on testing. George Varghese. 1. NETWORK VERIFICATION: . WHEN . HOARE . MEETS . CERF. George Varghese. (based on a tutorial with . Nikolaj. . Bjorner. of MSR). 2. FOR PUBLIC CLOUDS, PRIVATE CLOUDS, ENTERPRISE NETWORKS, ISPs, .

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