Software Engineering Meets Evolutionary Computation

Authors:
Mark Harman
Affiliations:
University College London
Venue:
Computer
Year:
2011

Citing 0
Cited 10

Test-based extended finite-state machines induction with evolutionary algorithms and ant colony optimization

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The GISMOE challenge: constructing the pareto program surface using genetic programming to find better programs (keynote paper)

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Dynamic adaptive search based software engineering

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Ubiquity symposium: Evolutionary computation and the processes of life: evolutionary computation as a direction in nature-inspired computing

Ubiquity
Controversy Corner: Search Based Software Engineering: Review and analysis of the field in Brazil

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MuACOsm: a new mutation-based ant colony optimization algorithm for learning finite-state machines

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A comparison of two memetic algorithms for software class modelling

Proceedings of the 15th annual conference on Genetic and evolutionary computation
Software engineering: an ideal set of challenges for evolutionary computation

Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Search-based genetic optimization for deployment and reconfiguration of software in the cloud

Proceedings of the 2013 International Conference on Software Engineering
An orchestrated survey of methodologies for automated software test case generation

Journal of Systems and Software

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Abstract

The concept of evolutionary computation has affected virtually every area of software design, not merely as a metaphor, but as a realistic algorithm for exploration, insight, and improvement.