Fighting state space explosion: Review and evaluation

R Pelánek - International Workshop on Formal Methods for …, 2008 - Springer
In order to apply formal methods in practice, the practitioner has to comprehend a vast
amount of research literature and realistically evaluate practical merits of different …

DART: Directed automated random testing

P Godefroid, N Klarlund, K Sen - … of the 2005 ACM SIGPLAN conference …, 2005 - dl.acm.org
We present a new tool, named DART, for automatically testing software that combines three
main techniques:(1) automated extraction of the interface of a program with its external …

Targeted adversarial examples for black box audio systems

R Taori, A Kamsetty, B Chu… - 2019 IEEE security and …, 2019 - ieeexplore.ieee.org
The application of deep recurrent networks to audio transcription has led to impressive gains
in automatic speech recognition (ASR) systems. Many have demonstrated that small …

Heuristics for scalable dynamic test generation

J Burnim, K Sen - … 23rd IEEE/ACM International Conference on …, 2008 - ieeexplore.ieee.org
Recently there has been great success in using symbolic execution to automatically
generate test inputs for small software systems. A primary challenge in scaling such …

[图书][B] Heuristic search: theory and applications

S Edelkamp, S Schrödl - 2011 - books.google.com
Search has been vital to artificial intelligence from the very beginning as a core technique in
problem solving. The authors present a thorough overview of heuristic search with a balance …

Software model checking: The VeriSoft approach

P Godefroid - Formal Methods in System Design, 2005 - Springer
Verification by state-space exploration, also often referred to as model checking, is an
effective method for analyzing the correctness of concurrent reactive systems (for instance …

Directed explicit-state model checking in the validation of communication protocols

S Edelkamp, S Leue, A Lluch-Lafuente - International journal on software …, 2004 - Springer
The success of model checking is largely based on its ability to efficiently locate errors in
software designs. If an error is found, a model checker produces a trail that shows how the …

Open pit mine production schedule optimization using a hybrid of maximum-flow and genetic algorithms

A Paithankar, S Chatterjee - Applied Soft Computing, 2019 - Elsevier
Production scheduling is a critical activity for the long-term production planning of open pit
mining operations. It deals with the effective management of resources and maximizes cash …

Simultaneous stochastic optimization of production sequence and dynamic cut-off grades in an open pit mining operation

A Paithankar, S Chatterjee, R Goodfellow, MWA Asad - Resources Policy, 2020 - Elsevier
An open pit mining operation is a complex system that constitutes several components or
processes. An optimal production sequence that defines timing of extraction and a dynamic …

Genetic optimization of training sets for improved machine learning models of molecular properties

NJ Browning, R Ramakrishnan… - The journal of …, 2017 - ACS Publications
The training of molecular models of quantum mechanical properties based on statistical
machine learning requires large data sets which exemplify the map from chemical structure …