PPT-Program Analysis with Set Constraints

Ravi Chugh Setconstraint based analysis Another technique for computing information about program variables Phase 1 constraint generation Create set variables corresponding to program Add inclusion constraints between these sets. SAGE: Whitebox Testing Check for Crashes (AppVerifier) Code Coverage (Nirvana) Generate Constraints (TruScan) Solve Constraints (Z3) Input0 Coverage Data Constraints Input1 Input2 … InputN MS Optimization of . Information. . Retrieval Models. SIGIR 2014 Tutorial. ChengXiang. . Zhai. . Dept. of Computer Science. University of Illinois at Urbana-Champaign. USA. http://www.cs.illinois.edu/homes/czhai. Subramanyam. Sripada. Synopsys . Inc. 3/13/2015. Constraint Analysis/Debug/Management. Budgeting Issues. Functional. Scan. Test. Low_Power. More Modes. More Files/. More complex. constraints. IP Blocks. Proseminar „Programmanalyse. ”, Prof. Dr. Heike . Wehrheim. Universit. ät Paderborn, WS 2011. /2012. Anton . Tonkushin. Static debugging. Array indexing outside of its proper bounds. Division by zero. Qiuyang Wu. 2015.3.13. Outline. This talk answers the following questions regarding timing constraints:. What are the key scalability challenges?. What are the available solutions?. Design Complexity Trends. by. Rondall. E. Jones. Sandia National Labs, Retired. www.rejonesconsulting.com. rejones7@msn.com . Presented by . Kevin . Dowding. Sandia National Labs. Equation Context. We are concerned here with the general linear algebra problem:. Each work area . has its . own unique . capacity based on the station process time required . Capacity . analysis determines the throughput capacity of workstations in a system. A bottleneck is a limiting factor or constraint. Mooly. . Sagiv. http://www.cs.tau.ac.il/~msagiv/courses/pa16.html. Formalities. Prerequisites: Compilers or Programming Languages. Course Grade. 10 % Lecture Summary (. latex+examples. within one week). with Set Constraints. Ravi . Chugh. Set-constraint based analysis. Another technique for computing information about program variables. Phase 1: constraint generation. Create set variables corresponding to program. Collaborators: George . Necula. , Xavier Rival (INRIA). Bor-Yuh. Evan Chang. University of California, Berkeley. February-April 2008. Precise Program Analysis with Data Structures. . by Designing with the User in Mind. . in SSR1 for Project-X. M. . Hassan, D. . . Passarelli. , I. . Gonin. , . S. . . Barbanotti. , L. . . Ristori. , and S. . . Yakovlev. 9/27/2011 PXIE Meeting. SSR1 Geometry Generations. SSR1-G1. Single . Daniel Paul Tyndall. 4 March 2010. Department of Atmospheric Sciences. University of Utah. Salt Lake City, UT. Outline. Introduction. Literature Review. 2DVar/3DVar Analysis Methodologies. Strong and Weak Constraints. Key Sources:. Data Analysis and Decision Making . (. Albrigth. , Winston and . Zappe. ). An Introduction to Management Science: Quantitative Approaches to Decision Making . (Anderson, Sweeny, Williams, and Martin), Essentials of MIS (. Lecture 1: Introduction. Roman . Manevich. Ben-Gurion University. December 31, 2008. 30GB . Zunes. all over the world fail en masse. 2. Zune bug. 1 while (days > 365) { . 2 if (. IsLeapYear. (year)) { .