'Valid input' diaporamas de présentation

CSC 110

CSC 110. Loop structures and booleans [Reading: chapter 8]. Objectives. To understand the concepts of definite and indefinite loops as they are realized in the Python for and while statements.

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chapter 7

chapter 7. Lists and Tuples. Data Structures. Data Structures and algorithms. Part of the "science" in computer science is the design and use of data structures and algorithms As you go on in CS, you will learn more and more about these two areas. Data Structures.

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SOFTWARE TESTING TECHNIQUE

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Syntax and Backus Naur Form

Syntax and Backus Naur Form. How BNF and EBNF describe the grammar of a language. Parse trees, abstract syntax trees, and alternatives to BNF. BNF learning goals. Know the syntax of BNF and EBNF Be able to read and write BNF/EBNF rules Understand...

1.43k views • 58 slides

CHAPTER 6

CHAPTER 6. Matching Patterns: Using Regular expressions to match patterns. Objectives. To learn to use PHP pattern-matching functions and regular expressions to match character string patterns and filter input data. Why Match Patterns. Scripting problem may require:

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WARNING

WARNING. 20 min. These slides are not optimized for printing or exam preparation. These are for lecture delivery only. These slides are made for PowerPoint 2010. They may not show up well on other PowerPoint versions . You can download PowerPoint 2010 viewer from here .

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JSP

JSP. (Java Server Pages). Disadvantages of Servlets. Servlet contains both business logic (java code) and presentation logic (HTML). Difficult for maintaining web applications. Takes more time for development. Introduction.

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A Hierarchy of Formal Languages and Automata

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NoTamper: Automatic Blackbox Detection of Parameter Tampering Opportunities In Web Applications

NoTamper: Automatic Blackbox Detection of Parameter Tampering Opportunities In Web Applications. Prithvi Bisht (http://cs.uic.edu/~pbisht)+ Timothy Hinrichs*, Nazari Skrupsky+, Radoslaw Bobrowicz+, V.N. Venkatakrishnan+ +: University of Illinois, Chicago

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The Intelligent Fuzzing in TTCN-3

The Intelligent Fuzzing in TTCN-3. Xu Luo, Wu Ji, Liu Chao Software Engineering Institute Beihang University http://www.sei.buaa.edu.cn. Outline. Background Fuzzing in TTCN-3 Summary. Outline. Background Definition of Fuzzing Fuzzer Types Fuzzing in TTCN-3 Summary. Definition.

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17 Exception handling

17 Exception handling. CE00858-1: Fundamental Programming Techniques. September 14. 1. Objectives. In this session, we will: introduce exceptions consider when exceptions occur write code to handle exceptions compare checked and unchecked exceptions. September 14. FPT Week 5 Session 1.

216 views • 12 slides