<--- Back to Details
First PageDocument Content
Software testing / Theoretical computer science / Fuzz testing / Algorithm / Software bug / Randomized algorithm / Online algorithm / Knapsack problem / American fuzzy lop
Date: 2014-05-29 15:38:01
Software testing
Theoretical computer science
Fuzz testing
Algorithm
Software bug
Randomized algorithm
Online algorithm
Knapsack problem
American fuzzy lop

Scheduling Black-box Mutational Fuzzing Maverick Woo Sang Kil Cha Samantha Gottlieb

Add to Reading List

Source URL: users.ece.cmu.edu

Download Document from Source Website

File Size: 658,02 KB

Share Document on Facebook

Similar Documents

A Java Framework for (Online) Algorithm Selection With Use Case on the Generalized Assignment Problem Hans Degroote1, José Luis González Velarde² and Patrick De Causmaecker1 1KU Leuven Department of Computer Science -

A Java Framework for (Online) Algorithm Selection With Use Case on the Generalized Assignment Problem Hans Degroote1, José Luis González Velarde² and Patrick De Causmaecker1 1KU Leuven Department of Computer Science -

DocID: 1vjco - View Document

International Journal of Computer Science and Software Engineering (IJCSSE), Volume 6, Issue 7, July 2017 ISSN (Online): www.IJCSSE.org Page: A Modified Simplified Data Encryption Standard Algorithm

International Journal of Computer Science and Software Engineering (IJCSSE), Volume 6, Issue 7, July 2017 ISSN (Online): www.IJCSSE.org Page: A Modified Simplified Data Encryption Standard Algorithm

DocID: 1uAKb - View Document

Online Algorithm Selection Hans Degroote1, Bernd Bischl2, Lars Kotthoff3 and Patrick De Causmaecker1 1KU Leuven, Department of Computer Science - CODeS & imec-ITEC 2Department of Statistics, LMU Munich

Online Algorithm Selection Hans Degroote1, Bernd Bischl2, Lars Kotthoff3 and Patrick De Causmaecker1 1KU Leuven, Department of Computer Science - CODeS & imec-ITEC 2Department of Statistics, LMU Munich

DocID: 1uxhy - View Document

An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation David Anderson * 1 Ming Gu * 1  Abstract

An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation David Anderson * 1 Ming Gu * 1 Abstract

DocID: 1tG55 - View Document

A Relaxed Algorithm for Online Matrix Inversion Arne Storjohann  Shiyun Yang

A Relaxed Algorithm for Online Matrix Inversion Arne Storjohann Shiyun Yang

DocID: 1tr7i - View Document