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Programming Paradigms

Programming Paradigms

CS 345. Programming Paradigms. Vitaly Shmatikov. Reading Assignment. Mitchell, Chapter 2.1. What Is a Programming Language?. Formal notation for specifying computations, independent of a specific machine

By paul2
(269 views)

Java

Java

CS 242. Java. John Mitchell. Reading: Chapter 13. Language Overview History and design goals Classes and Inheritance Object features Encapsulation Inheritance Types and Subtyping Primitive and ref types Interfaces; arrays Exception hierarchy

By duff
(174 views)

Types

Types

cs242. Types. Kathleen Fisher. Reading: “Concepts in Programming Languages”, Chapter 6. Announcement. We are looking for homework graders. If you are interested, send mail to cs242@cs.stanford.edu Need to be available approximately 5-9pm on Thursdays.

By iago
(176 views)

Unreproducible tests Successes, failures, and lessons in testing and verification

Unreproducible tests Successes, failures, and lessons in testing and verification

Unreproducible tests Successes, failures, and lessons in testing and verification. Michael D. Ernst University of Washington Presented at ICST 20 April 2012. Reproducibility: The linchpin of verification. A test should behave deterministically For detecting failures For debugging

By dori
(92 views)

Total Pasta: Unfailing Pointer Programs

Total Pasta: Unfailing Pointer Programs

Total Pasta: Unfailing Pointer Programs. Neil Mitchell, ndm AT cs.york.ac.uk. Department of Computer Science, University of York. Pasta – Linked List Example. list { nil(); cons( int head, ptr tail); } -- inserts an element into an ordered list insert( int i, ptr s) {

By shaun
(0 views)

Programming Web Applications with SMLserver

Programming Web Applications with SMLserver

Programming Web Applications with SMLserver. What is SMLserver – Motivation – An example SMLserver script – The SMLserver execution model SML for PHP Programmers in 20 minutes Example: Dynamic Recipe Interfacing with an RDBMS Example: Guest Book

By malaya
(61 views)

Unreproducible tests Successes, failures, and lessons in testing and verification

Unreproducible tests Successes, failures, and lessons in testing and verification

Unreproducible tests Successes, failures, and lessons in testing and verification. Michael D. Ernst University of Washington Presented at ICST 20 April 2012. Reproducibility: The linchpin of verification. A test should behave deterministically For detecting failures For debugging

By claude
(138 views)

CSE 341 Programming Languages Static vs. Dynamic Typing

CSE 341 Programming Languages Static vs. Dynamic Typing

CSE 341 Programming Languages Static vs. Dynamic Typing. Zach Tatlock Spring 2014. Key differences. Racket and ML have much in common Key differences Syntax Pattern-matching vs. struct -tests and accessor -functions Semantics of various let-expressions …

By elsie
(94 views)

Dan Grossman Spring 2013

Dan Grossman Spring 2013

CSE341: Programming Languages Lecture 23 Multiple Inheritance, Mixins , Interfaces, Abstract Methods . Dan Grossman Spring 2013. What next?. Have used classes for OOP's essence: inheritance, overriding, dynamic dispatch Now, what if we want to have more than just 1 superclass

By cid
(146 views)

JavaScript Information Flow Analysis

JavaScript Information Flow Analysis

JavaScript Information Flow Analysis. Shiyi Wei CS6204 term project. Overview. Project motivation Literature review Paper orgnization Selected papers Observations Framework overview Analysis components On-going work & conclusion. Project Motivation. Jif: Java information flow

By sydney
(120 views)

CSE341: Programming Languages Lecture 14 Introduction to Racket

CSE341: Programming Languages Lecture 14 Introduction to Racket

CSE341: Programming Languages Lecture 14 Introduction to Racket. Dan Grossman Fall 2011. Racket. Next 2+ weeks will use the Racket language (not ML) and the DrRacket programming environment (not emacs ) Installation / basic usage instructions on course website

By corin
(191 views)

Carlos Varela RPI

Carlos Varela RPI

Typing and Parameter Passing Dynamic and Static Typing (VRH 2.8.3) Parameter Passing Mechanisms (VRH 6.4.4). Carlos Varela RPI. Data types. A datatype is a set of values and an associated set of operations An abstract datatype is described by a set of operations

By clem
(121 views)

Approaches to Typing

Approaches to Typing

Approaches to Typing. Programming Languages Robert Dewar. Typing: Why?. There are several different motivations for typing in high level languages Efficiency Error Checking Redundancy Overloading. Efficiency. Compiler can generate better code if it knows exactly what is in each variable.

By fineen
(121 views)

Types

Types

Object Oriented Programming 236703 Spring 2007. Types. Values. 5 Color.RED "abc" new String[20] new Scanner(" c:/temp/in.txt ") ‏ new Properties() ‏. Supported Operations. int x = 5; Color.RED == null "abc" .equalsIgnoreCase ("ABC") ‏ (new String[20]) [0]

By herman
(89 views)

A guide to modern languages and interesting concepts for the busy Java programmer

A guide to modern languages and interesting concepts for the busy Java programmer

A guide to modern languages and interesting concepts for the busy Java programmer. Cedric Beust Google Jazoon 2008, Zurich. About me. Software engineer working at Google on the Android project Creator of TestNG Co author of "Next Generation Testing in Java" with Hani Suleiman

By sidone
(91 views)

Dynamic Binding

Dynamic Binding

Dynamic Binding. Object-Oriented Programming 236703 Spring 2008. Non-Strict Inheritance. AKA Inheritance More Powerful Abstraction Mechanism: a subclass is just like the superclass, except for an explicit list of changes: Additional operations. Additional structure elements.

By cyrus-harvey
(99 views)


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