Testing Variability-Intensive Systems

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférenceArticle dans les actes d'une conférence/un colloque

Résumé

Cost-effective techniques to test software in the presence of variability are popular in academia but are not systematically applied in practice yet. This half-day tutorial offers an overview of the state of the art of some of the hottest topics in the field such as (dis)similarity & search-based testing, model-based testing or mutation analysis. We will present the most significant results obtained during the last five years ranging from conceptual foundations to readily usable tools. In particular, we will rely on VIBeS, a model-based open source framework we developed to test product lines behaviour. We will illustrate all these concepts on JHipster, a variability-intensive web development stack.
langue originaleAnglais
titreSPLC 2017 - 21st International Systems and Software Product Line Conference, Proceedings
rédacteurs en chefLidia Fuentes, Ebrahim Bagheri, Antonio Ruiz-Cortes, David Benavides, Rafael Capilla, Yingfei Xiong, Jan Bosch, Mathieu Acher, Daniel Schall, Myra Cohen, Javier Troya
Lieu de publicationNew York, New York, USA
EditeurACM Press
Pages255-255
Nombre de pages1
Volume1
ISBN (Electronique)9781450352215
Les DOIs
étatPublié - 26 sept. 2017
Evénement21st International Systems and Software Product Line Conference (SPLC '17) - Sevilla, Espagne
Durée: 25 sept. 201729 sept. 2017
http://congreso.us.es/splc2017/

Série de publications

NomSPLC '17
EditeurACM

Une conférence

Une conférence21st International Systems and Software Product Line Conference (SPLC '17)
Titre abrégéSPLC '17
PaysEspagne
La villeSevilla
période25/09/1729/09/17
Adresse Internet

Empreinte digitale

Testing
Costs

Citer ceci

Perrouin, G., Devroey, X., & Cordy, M. (2017). Testing Variability-Intensive Systems. Dans L. Fuentes, E. Bagheri, A. Ruiz-Cortes, D. Benavides, R. Capilla, Y. Xiong, J. Bosch, M. Acher, D. Schall, M. Cohen, ... J. Troya (eds.), SPLC 2017 - 21st International Systems and Software Product Line Conference, Proceedings (Vol 1, p. 255-255). (SPLC '17). New York, New York, USA: ACM Press. https://doi.org/10.1145/3106195.3106226
Perrouin, Gilles ; Devroey, Xavier ; Cordy, Maxime. / Testing Variability-Intensive Systems. SPLC 2017 - 21st International Systems and Software Product Line Conference, Proceedings. Editeur / Lidia Fuentes ; Ebrahim Bagheri ; Antonio Ruiz-Cortes ; David Benavides ; Rafael Capilla ; Yingfei Xiong ; Jan Bosch ; Mathieu Acher ; Daniel Schall ; Myra Cohen ; Javier Troya. Vol 1 New York, New York, USA : ACM Press, 2017. p. 255-255 (SPLC '17).
@inproceedings{789f0e87bf1e4569800e1c2f98ff3535,
title = "Testing Variability-Intensive Systems",
abstract = "Cost-effective techniques to test software in the presence of variability are popular in academia but are not systematically applied in practice yet. This half-day tutorial offers an overview of the state of the art of some of the hottest topics in the field such as (dis)similarity & search-based testing, model-based testing or mutation analysis. We will present the most significant results obtained during the last five years ranging from conceptual foundations to readily usable tools. In particular, we will rely on VIBeS, a model-based open source framework we developed to test product lines behaviour. We will illustrate all these concepts on JHipster, a variability-intensive web development stack.",
keywords = "Variability Intensive Systems, Model-Based Testing, VIBeS, Variability-intensive systems, Model-based testing",
author = "Gilles Perrouin and Xavier Devroey and Maxime Cordy",
year = "2017",
month = "9",
day = "26",
doi = "10.1145/3106195.3106226",
language = "English",
volume = "1",
series = "SPLC '17",
publisher = "ACM Press",
pages = "255--255",
editor = "Lidia Fuentes and Ebrahim Bagheri and Antonio Ruiz-Cortes and David Benavides and Rafael Capilla and Yingfei Xiong and Jan Bosch and Mathieu Acher and Daniel Schall and Myra Cohen and Javier Troya",
booktitle = "SPLC 2017 - 21st International Systems and Software Product Line Conference, Proceedings",
address = "United States",

}

Perrouin, G, Devroey, X & Cordy, M 2017, Testing Variability-Intensive Systems. Dans L Fuentes, E Bagheri, A Ruiz-Cortes, D Benavides, R Capilla, Y Xiong, J Bosch, M Acher, D Schall, M Cohen & J Troya (eds), SPLC 2017 - 21st International Systems and Software Product Line Conference, Proceedings. VOL. 1, SPLC '17, ACM Press, New York, New York, USA, p. 255-255, 21st International Systems and Software Product Line Conference (SPLC '17), Sevilla, Espagne, 25/09/17. https://doi.org/10.1145/3106195.3106226

Testing Variability-Intensive Systems. / Perrouin, Gilles; Devroey, Xavier; Cordy, Maxime.

SPLC 2017 - 21st International Systems and Software Product Line Conference, Proceedings. Ed. / Lidia Fuentes; Ebrahim Bagheri; Antonio Ruiz-Cortes; David Benavides; Rafael Capilla; Yingfei Xiong; Jan Bosch; Mathieu Acher; Daniel Schall; Myra Cohen; Javier Troya. Vol 1 New York, New York, USA : ACM Press, 2017. p. 255-255 (SPLC '17).

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférenceArticle dans les actes d'une conférence/un colloque

TY - GEN

T1 - Testing Variability-Intensive Systems

AU - Perrouin, Gilles

AU - Devroey, Xavier

AU - Cordy, Maxime

PY - 2017/9/26

Y1 - 2017/9/26

N2 - Cost-effective techniques to test software in the presence of variability are popular in academia but are not systematically applied in practice yet. This half-day tutorial offers an overview of the state of the art of some of the hottest topics in the field such as (dis)similarity & search-based testing, model-based testing or mutation analysis. We will present the most significant results obtained during the last five years ranging from conceptual foundations to readily usable tools. In particular, we will rely on VIBeS, a model-based open source framework we developed to test product lines behaviour. We will illustrate all these concepts on JHipster, a variability-intensive web development stack.

AB - Cost-effective techniques to test software in the presence of variability are popular in academia but are not systematically applied in practice yet. This half-day tutorial offers an overview of the state of the art of some of the hottest topics in the field such as (dis)similarity & search-based testing, model-based testing or mutation analysis. We will present the most significant results obtained during the last five years ranging from conceptual foundations to readily usable tools. In particular, we will rely on VIBeS, a model-based open source framework we developed to test product lines behaviour. We will illustrate all these concepts on JHipster, a variability-intensive web development stack.

KW - Variability Intensive Systems

KW - Model-Based Testing

KW - VIBeS

KW - Variability-intensive systems

KW - Model-based testing

UR - http://www.scopus.com/inward/record.url?scp=85032268773&partnerID=8YFLogxK

UR - http://dl.acm.org/citation.cfm?doid=3106195.3106226

UR - http://www.mendeley.com/research/testing-variabilityintensive-systems

U2 - 10.1145/3106195.3106226

DO - 10.1145/3106195.3106226

M3 - Conference contribution

VL - 1

T3 - SPLC '17

SP - 255

EP - 255

BT - SPLC 2017 - 21st International Systems and Software Product Line Conference, Proceedings

A2 - Fuentes, Lidia

A2 - Bagheri, Ebrahim

A2 - Ruiz-Cortes, Antonio

A2 - Benavides, David

A2 - Capilla, Rafael

A2 - Xiong, Yingfei

A2 - Bosch, Jan

A2 - Acher, Mathieu

A2 - Schall, Daniel

A2 - Cohen, Myra

A2 - Troya, Javier

PB - ACM Press

CY - New York, New York, USA

ER -

Perrouin G, Devroey X, Cordy M. Testing Variability-Intensive Systems. Dans Fuentes L, Bagheri E, Ruiz-Cortes A, Benavides D, Capilla R, Xiong Y, Bosch J, Acher M, Schall D, Cohen M, Troya J, rédacteurs en chef, SPLC 2017 - 21st International Systems and Software Product Line Conference, Proceedings. Vol 1. New York, New York, USA: ACM Press. 2017. p. 255-255. (SPLC '17). https://doi.org/10.1145/3106195.3106226