Fixing bugs in your sleep: How genetic improvement became an overnight success
SO Haraldsson, JR Woodward, AEI Brownlee… - Proceedings of the …, 2017 - dl.acm.org
We present a bespoke live system in commercial use with self-improving capability. During
daytime business hours it provides an overview and control for many specialists to …
daytime business hours it provides an overview and control for many specialists to …
Comparing search algorithms on the retrosynthesis problem
M Roucairol, T Cazenave - Molecular Informatics, 2024 - Wiley Online Library
In this article we try different algorithms, namely Nested Monte Carlo Search and Greedy
Best First Search, on AstraZeneca's open source retrosynthetic tool: AiZynthFinder. We …
Best First Search, on AstraZeneca's open source retrosynthetic tool: AiZynthFinder. We …
Monte Carlo inverse folding
T Cazenave, T Fournier - Monte Carlo Search: First Workshop, MCS 2020 …, 2021 - Springer
Abstract The RNA Inverse Folding problem comes from computational biology. The goal is to
find a molecule that has a given folding. It is important for scientific fields such as …
find a molecule that has a given folding. It is important for scientific fields such as …
Hashing fuzzing: introducing input diversity to improve crash detection
HD Menendez, D Clark - IEEE Transactions on Software …, 2021 - ieeexplore.ieee.org
The utility of a test set of program inputs is strongly influenced by its diversity and its size.
Syntax coverage has become a standard proxy for diversity. Although more sophisticated …
Syntax coverage has become a standard proxy for diversity. Although more sophisticated …
Heuristic model checking using a Monte-Carlo tree search algorithm
S Poulding, R Feldt - Proceedings of the 2015 Annual Conference on …, 2015 - dl.acm.org
Monte-Carlo Tree Search algorithms have proven extremely effective at playing games that
were once thought to be difficult for AI techniques owing to the very large number of possible …
were once thought to be difficult for AI techniques owing to the very large number of possible …
Diversifying focused testing for unit testing
Software changes constantly, because developers add new features or modifications. This
directly affects the effectiveness of the test suite associated with that software, especially …
directly affects the effectiveness of the test suite associated with that software, especially …
Broadening the search in search-based software testing: It need not be evolutionary
R Feldt, S Poulding - … IEEE/ACM 8th International Workshop on …, 2015 - ieeexplore.ieee.org
Search-based software testing (SBST) can potentially help software practitioners create
better test suites using less time and resources by employing powerful methods for search …
better test suites using less time and resources by employing powerful methods for search …
Policy adaptation for vehicle routing
T Cazenave, JY Lucas, T Triboulet… - Ai …, 2021 - content.iospress.com
Abstract Nested Rollout Policy Adaptation (NRPA) is a Monte Carlo search algorithm that
learns a playout policy in order to solve a single player game. In this paper we apply NRPA …
learns a playout policy in order to solve a single player game. In this paper we apply NRPA …
TAF: a tool for diverse and constrained test case generation
C Robert, J Guiochet, H Waeselynck… - 2021 IEEE 21st …, 2021 - ieeexplore.ieee.org
The generation of test cases may have to accommodate size-varying data structures and
semantic constraints between the data elements. This often requires the development of …
semantic constraints between the data elements. This often requires the development of …
Generalized nested rollout policy adaptation
T Cazenave - Monte Carlo Search: First Workshop, MCS 2020, Held …, 2021 - Springer
Abstract Nested Rollout Policy Adaptation (NRPA) is a Monte Carlo search algorithm for
single player games. In this paper we propose to generalize NRPA with a temperature and a …
single player games. In this paper we propose to generalize NRPA with a temperature and a …