PPT-Compositional May-Must Program Analysis

Unleashing the Power of Alternation Patrice Godefroid Aditya V Nori Sriram K Rajamani Microsoft Research Sai Deep Tetali UC Los Angeles Property checking void f 0 p 4 1 q . Column 1. . Make a list of 10 words that describe or associated with MN culture. Get creative! Think differently.. Ex. Nice. Ex. Rural. Column 2. Make a list of 10 words from memories you have while in MN. . Richard . Longstreth. Architecture Degree—University of Pa. Ph.d.. in Architectural History—UC Berkeley. Richard . Longstreth. . . East Providence, Rhode Island. . Providence: Rhode Island Historical Preservation Commission, 1976. . 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. Deborah Swarts, Josh Arnold, Mary Klos, Roger Hill, Kevin Cooney, and Gary Cullen. Summit Blue Consulting. Program Description. A BPA third-party program that promotes efficiency improvements in commercial refrigeration. Customers include: . Schedulabiltiy. of Arbitrary-Deadline Sporadic Tasks upon Periodic Resources. Farhana. . Dewan. Nathan Fisher. Wayne State University. RTCSA, August 22. nd. , 2012. . CoPaRTS. Compositional & Parallel Real Time Systems. Yue Li. , . Tian. Tan, . Yifei. Zhang and Jingling . Xue. UNSW Australia. ECOOP 2016. Rome, Italy. 1. Program Slicing. Program slicing. [Weiser 1981] citation: 3950. 2. Program Slicing. Debugging. Maintenance. 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). 1. Code Editor Tools . C# Programming:. From Problem Analysis to Program Design . 4th . Edition. B. Code Snippets. Templates you use . to insert . code. Speed up entry of common code constructs. Named with a short alias. 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. Hair, et al. 2006. Multivariate Data Analysis Sixth Edition, Chapter 9, US: Prentice Hall. Putu. . Eka. . Widya. . Shanti. (29009020). M. . Satya. . Oktamalandi. (29009021). Learning Objectives. Thomas Reps,. 1,2. Akash Lal,. 1. and Nick Kidd. 1. 1. Univ. of Wisconsin. 2. GrammaTech, Inc.. 2. Static Program Analysis. Tool for building correct, reliable, efficient, and secure software . What states can my program reach?. 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. 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)) { . How do planetary scientists analyze and interpret data from laboratory, telescopic, and spacecraft observations of planetary surfaces? What elements, minerals, and volatiles are found on the surfaces of our Solar System\'s planets, moons, asteroids, and comets? This comprehensive volume answers these topical questions by providing an overview of the theory and techniques of remote compositional analysis of planetary surfaces. Bringing together eminent researchers in Solar System exploration, it describes state-of-the-art results from spectroscopic, mineralogical, and geochemical techniques used to analyze the surfaces of planets, moons, and small bodies. The book introduces the methodology and theoretical background of each technique, and presents the latest advances in space exploration, telescopic and laboratory instrumentation, and major new work in theoretical studies. This engaging volume provides a comprehensive reference on planetary surface composition and mineralogy for advanced students, researchers, and professional scientists.