PPT-PPL Static Verification: Type Inference

Author : briana-ranney | Published Date : 2016-08-04

Lecture Notes Chapter 2 Midterm 2011 נתונות הפרוצדורות foo ו goo define foo lambda x display x newline x 2 define goo lambda x display 5 newline

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PPL Static Verification: Type Inference: Transcript

Lecture Notes Chapter 2 Midterm 2011 נתונות הפרוצדורות foo ו goo define foo lambda x display x newline x 2 define goo lambda x display 5 newline x 1. Foster Michael Hicks Department of Computer Science University of Maryland College Park MD 20742 furrdavidanjfostermwhcsumdedu ABSTRACT Many generalpurpose objectoriented scripting languages are dy namically typed which provides 64258exibility but l in type-based verification. 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 . Kathleen Fisher. cs242. Reading: “Concepts in Programming Languages”, Chapter 6. . . Outline. General discussion of types. What is a type?. Compile-time . vs. run-time checking. of Computer Programs. these slides contain advanced . material and are optional. What is verification. Check correctness of the implementation given the specification. Static verification. Check correctness without executing the program. Victor . Vianu. U.C. San Diego. i. n Databases. What is it?. Reasoning about queries and applications to guarantee. . . correctness. g. ood performance. Important to experts .... 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). (via Automated Refinement Type Inference). Tachio. Terauchi. Nagoya University. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. A. A. A. A. Verifying higher-order functional programs. Spring . 2017. Language features and issues. variables & bindings. data types. primitive. complex/structured. expressions & assignments. control structures. subprograms. We will focus on C, C++, and Java as example languages. 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. Ravi Chugh. Motivation: Dynamic Languages. Dynamically-typed languages. Enable rapid prototyping. Facilitate inter-language development. Statically-typed languages. Prevent certain run-time errors. Enable optimized execution. Ravi Chugh. Motivation: Dynamic Languages. Dynamically-typed languages. Enable rapid prototyping. Facilitate inter-language development. Statically-typed languages. Prevent certain run-time errors. Enable optimized execution. Ravi Chugh. Motivation: Dynamic Languages. Dynamically-typed languages. Enable rapid prototyping. Facilitate inter-language development. Statically-typed languages. Prevent certain run-time errors. Enable optimized execution. Reading: “Concepts in Programming Languages”, Chapter 6. . . Outline. General discussion of types. What is a type?. Compile-time . vs. run-time checking. Conservative program analysis. 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.

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