Solving the Task Variant Allocation Problem in Distributed Robotics
José Cano, David R. White, Alejandro Bordallo, Ciaran McCreesh, Anna Lito Michala, Jeremy Singer, and Vijay Nagarajan.
Autonomous Robots, 2017. To Appear.
GI in No Time
David R. White.
Genetic Improvement of Software: a Comprehensive Survey
Justyna Petke, Saemundur O. Haraldsson, Mark Harman, William B. Langdon, David R. White and John R. Woodward
IEEE Transactions on Evolutionary Computation, 2017.
Deep Parameter Tuning of Concurrent Divide and Conquer Algorithms in Akka
David R. White, Leonid Joffe, Edward Bowles, and Jerry Swan.
API-Constrained Genetic Improvement
William Langdon, David R. White, Mark Harman, Yue Jia and Justyna Petke
Multi-objective Regression Test Suite Minimisation for Mockito
Andrew Turner, David R. White and John Drake
Guiding Unconstrained Genetic Improvement
David R. White
Task Variant Allocation in Distributed Robotics
Jose Cano, David R. White, Alejandro Bordallo, Ciaran McCreesh, Patrick Prosser, Jeremy Singer, and Vijay Nagarajan.
Search-based Refactoring: Metrics are Not Enough
Chris Simons, David R. White, and Jeremy Singer.
Rethinking Genetic Improvement
David R. White and Jeremy Singer.
Genetic Improvement 2015.
The Programming Game: Evaluating MCTS as an Alternative to GP for Symbolic Regression
David R. White, Shin Yoo, and Jeremy Singer.
If you’re looking for resources for this paper, please get in touch! We unfortunately lost some of the RNG seeds for part of our experimentation, but repeating the experimentation gives consistent results. Drop me an email and I will explain!
Evaluating Lossy Collections for Java Applications
Jeremy Singer and David R. White.
Workshop on Approximate Computing Across the System Stack (WACAS 2015).
JVM-hosted Languages: They Talk the Talk, but do They Walk the Walk?
Wing Hang Li, David R. White, Jeremy Singer
The Glasgow Raspberry Pi Cloud: A Scale Model for Cloud Computing Infrastructures
Fung Po Tso, David R. White, Simon Jouet, Jeremy Singer, Dimitrios Pezaros
International Workshop on Resource Management of Cloud Computing 2013.
Cloud Computing and SBSE
David R. White
SSBSE 2013. Invited Tutorial Paper.
Control Theory for Principled Heap Sizing
David R. White, Jeremy Singer, Jonathan M. Aitken, Richard E. Jones
Cloud Engineering is Search Based Software Engineering Too
Mark Harman, Kiran Lakhotia, Jeremy Singer, David R. White, Shin Yoo.
Journal of Systems and Software 2013.
Better GP Benchmarks: Community Survey Results and Proposals
David R. White, James McDermott, Mauro Castelli, Luca Manzoni, Brian W. Goldman, Gabriel Kronberger, Wojciech Jaskowksi, Una-May O’Reilly, Sean Luke.
Genetic Programming and Evolvable Machines.
Searching for Pareto-optimal Randomised Algorithms
Alan G. Millard, David R. White and John A. Clark
Won best paper prize.
The GISMOE challenge: Constructing the Pareto Program Surface Using Genetic Programming to Find Better Programs
Mark Harman, William B. Langdon, Yue Jia, David R. White, Andrea Arcuri and John A. Clark
ASE 2012. Keynote paper.
Automated Heap Sizing in the Poly/ML Runtime
David R. White, Jeremy Singer, Jonathan M. Aitken, and David Matthews.
Trends in Functional Programming 2012.
Genetic Programming Needs Better Benchmarks
James McDermott, David R. White, Sean Luke, Luca Manzoni, Mauro Castelli, Leonardo Vanneschi, Wojciech Jaśkowski, Krzysztof Krawiec, Robin Harper, Kenneth De Jong, Una-May O’Reilly.
Note that this paper is subject to ongoing edits and the definitive version is available via the website.
Software review: the ECJ toolkit.
David R. White
Genetic Programming and Evolvable Machines. Online first, 2011.
Searching for Invariants using Genetic Programming and Mutation Testing.
Sam Ratcliff, David R. White and John A. Clark.
Won best paper prize in the SBSE track.
Evolutionary Improvement of Programs.
David R. White, Andrea Arcuri and John A. Clark.
IEEE Transactions on Evolutionary Computation, 2011.
Genetic Programming for Low-Resource Systems.
David R. White.
PhD Thesis. University of York, 2010.
Nominated for a BCS distinguished thesis award.
Fine-Grained Timing using Genetic Programming.
David R. White, Juan M. E. Tapiador, Julio Cesar Hernandez-Castro and John A. Clark
A Rigorous Evaluation of Crossover and Mutation in Genetic Programming
David R. White and Simon Poulding.
Multi-Objective Improvement of Software using Co-evolution and Smart Seeding.
Andrea Arcuri, David R. White, John Clark, Xin Yao.
Searching for Resource-Efficient Programs: Low-Power Pseudorandom Number Generators.
David R. White, John Clark, Jeremy Jacob, Simon Poulding.