## Active coevolutionary learning of requirements specifications from examples

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2017
##### Authors
Wever, Marcel
van Rooijen, Lorijn
##### Publication type
Contribution to a conference collection
Published
##### Published in
GECCO '17 : Proceedings of the Genetic and Evolutionary Computation Conference / Bosman, Peter A. N. (ed.). - New York, NY : ACM, 2017. - pp. 1327-1334. - ISBN 978-1-4503-4920-8
##### Abstract
Within software engineering, requirements engineering starts from imprecise and vague user requirements descriptions and infers precise, formalized specifications. Techniques, such as interviewing by requirements engineers, are typically applied to identify the user's needs. We want to partially automate even this first step of requirements elicitation by methods of evolutionary computation. The idea is to enable users to specify their desired software by listing examples of behavioral descriptions. Users initially specify two lists of operation sequences, one with desired behaviors and one with forbidden behaviors. Then, we search for the appropriate formal software specification in the form of a deterministic finite automaton. We solve this problem known as grammatical inference with an active coevolutionary approach following Bongard and Lipson [2]. The coevolutionary process alternates between two phases: (A) additional training data is actively proposed by an evolutionary process and the user is interactively asked to label it; (B) appropriate automata are then evolved to solve this extended grammatical inference problem. Our approach leverages multi-objective evolution in both phases and outperforms the state-of-the-art technique [2] for input alphabet sizes of three and more, which are relevant to our problem domain of requirements specification.
##### Subject (DDC)
004 Computer Science
##### Conference
GECCO '17 : Genetic and Evolutionary Computation Conference, Jul 15, 2017 - Jul 19, 2017, Berlin, Germany
##### Cite This
ISO 690WEVER, Marcel, Lorijn VAN ROOIJEN, Heiko HAMANN, 2017. Active coevolutionary learning of requirements specifications from examples. GECCO '17 : Genetic and Evolutionary Computation Conference. Berlin, Germany, Jul 15, 2017 - Jul 19, 2017. In: BOSMAN, Peter A. N., ed.. GECCO '17 : Proceedings of the Genetic and Evolutionary Computation Conference. New York, NY:ACM, pp. 1327-1334. ISBN 978-1-4503-4920-8. Available under: doi: 10.1145/3071178.3071258
BibTex
@inproceedings{Wever2017Activ-59869,
year={2017},
doi={10.1145/3071178.3071258},
title={Active coevolutionary learning of requirements specifications from examples},
isbn={978-1-4503-4920-8},
publisher={ACM},
booktitle={GECCO '17 : Proceedings of the Genetic and Evolutionary Computation Conference},
pages={1327--1334},
editor={Bosman, Peter A. N.},
author={Wever, Marcel and van Rooijen, Lorijn and Hamann, Heiko}
}

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