'Symbolic execution' presentation slideshows

Techniques for Improving Software Productivity

Techniques for Improving Software Productivity. Instructor: Mooly Sagiv TA: Kalev Alpernas http://cs.tau.ac.il/~msagiv/courses/software-productivity.html. Slides from Eran Yahav , Zach Tatlock and the Noun Project, Wikipedia. Course Prerequisites. Logic in Computer Science

1.88k views • 96 slides

Automatic Generation of Inputs of Death and High-Coverage Tests

EXE & KLEE. Automatic Generation of Inputs of Death and High-Coverage Tests. Presented by Yoni Leibowitz. EXE. KLEE. Automatically Generating Inputs of Death. Unassisted & Automatic Generation of High-Coverage Tests for Complex System Programs. David Dill Vijay Ganesh Cristian Cadar

989 views • 87 slides

Automated Test Case Generation to Validate Non-functional Software Requirements

842 views • 70 slides

828 views • 70 slides

CUTE: A Concolic Unit Testing Engine for C

CUTE: A Concolic Unit Testing Engine for C. Koushik Sen Darko Marinov Gul Agha University of Illinois Urbana-Champaign. Goal. Automated Scalable Unit Testing of real-world C Programs Generate test inputs Execute unit under test on generated test inputs

946 views • 64 slides

Misc Topics in Testing

625 views • 52 slides

Automating the Generation of Mutation Tests

Automating the Generation of Mutation Tests. Mike Papadakis and Nicos Malevris Department of Informatics Athens University of Economics and Business. Test Data Generation Approaches. Symbolic execution Select set of paths Produce a system of algebraic constraints

690 views • 47 slides

Pex White Box Test Generation for .NET Nikolai Tillmann, Microsoft Research

Pex White Box Test Generation for .NET Nikolai Tillmann, Microsoft Research Evolutionary Testing, Dagstuhl , August 28 th , 2008. Background: Unit Testing. A unit test is a small program with assertions. void AddTest () { HashSet set = new HashSet (); set.Add (7); set.Add (3);

539 views • 38 slides

Abstraction and Modular Reasoning for the Verification of Software

Abstraction and Modular Reasoning for the Verification of Software. Corina Pasareanu NASA Ames Research Center. Outline. Bandera Project (Kansas Sate University): Tool Support for Program Abstraction and Abstract Counter-example Analysis (joint work with the Bandera team) NASA Ames Projects:

521 views • 38 slides

Application Security (part 1)

Application Security (part 1). CSG 3/21/2011 Presented By: Kevin Hulin. Outline. Overview Definitions Application: Types of Errors Defense Program Correctness Formal Methods Model Checking Automatic Discovery of Vulnerabilities Smart fuzzing through symbolic execution.

480 views • 36 slides

Software Model Checking

314 views • 30 slides

A Trusted Safety Verifier for Process Controller Code

A Trusted Safety Verifier for Process Controller Code. Stephen McLaughlin, Saman Zonouz, Devin Pohly, Patrick McDaniel Presented by Xumiao Zhang and Shenghao Lin. Overview. Programmable logic controller (PLC) Threat model Trusted Safety Verifier (TSV) PLC code analysis Implementation

589 views • 27 slides

RELIGIOUS OF THE SACRED HEARTS (SS.CC.) CONGREGATION MARTYRS OF THE TWENTIETH CENTURY IN SPAIN

359 views • 25 slides

Pe x xxx White Box Test Generation for .NET Nikolai Tillmann, Peli de Halleux Microsoft Research

Pe x xxx White Box Test Generation for .NET Nikolai Tillmann, Peli de Halleux Microsoft Research. Unit Testing Today. A unit test is a small program with assertions. void AddTest () { HashSet set = new HashSet (); set.Add (7); set.Add (3); Assert.IsTrue ( set.Count == 2); }

1.18k views • 23 slides

Generalized Symbolic Execution for Model Checking and Testing

Generalized Symbolic Execution for Model Checking and Testing . Sarfraz Khurshid , Corina S. P ? s ? reanu , and Willem Visser TACAS 2003. Contents. Introduction General Methodology Background Symbolic Execution Two-fold Generalization of Symbolic Execution Lazy initialization

433 views • 20 slides

Symbolic Execution and Program Testing

738 views • 20 slides

A Theory of Fault Based Testing

329 views • 20 slides

Vision: Automated Security Validation of Mobile Apps at App Markets

Vision: Automated Security Validation of Mobile Apps at App Markets. Presented by: T om Staley. Introduction. Rising security concerns in the smartphone app community Use of private data: Passwords Financial records GPS locations Malware attacks have been found targeting smartphones.

319 views • 17 slides

Welcome to MDTC (Melbourne Developer Testing Community)

270 views • 13 slides

Nikolai Tillmann

234 views • 8 slides