Résumé
| langue originale | Anglais |
|---|---|
| titre | Proceedings - VaMoS 2017 |
| Sous-titre | 11th International Workshop on Variability Modelling of Software-Intensive Systems |
| rédacteurs en chef | Ina Schaefer, Maurice H. ter Beek, Norbert Siegmund |
| Lieu de publication | Eindhoven, Netherlands |
| Editeur | ACM Press |
| Pages | 44-51 |
| Nombre de pages | 8 |
| ISBN (Electronique) | 9781450348119 |
| ISBN (imprimé) | 978-1-4503-4811-9/17/02 |
| Les DOIs | |
| état | Publié - 1 févr. 2017 |
Série de publications
| Nom | VaMoS '17 |
|---|---|
| Editeur | ACM Press |
Empreinte digitale
Citer ceci
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Yo Variability! JHipster: A Playground for Web-Apps Analyses. / Halin, Axel; Nuttinck, Alexandre; Acher, Mathieu; Devroey, Xavier; Perrouin, Gilles; Heymans, Patrick.
Proceedings - VaMoS 2017: 11th International Workshop on Variability Modelling of Software-Intensive Systems. Ed. / Ina Schaefer; Maurice H. ter Beek; Norbert Siegmund. Eindhoven, Netherlands : ACM Press, 2017. p. 44-51 (VaMoS '17).Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque
TY - GEN
T1 - Yo Variability! JHipster: A Playground for Web-Apps Analyses
AU - Halin, Axel
AU - Nuttinck, Alexandre
AU - Acher, Mathieu
AU - Devroey, Xavier
AU - Perrouin, Gilles
AU - Heymans, Patrick
PY - 2017/2/1
Y1 - 2017/2/1
N2 - Though variability is everywhere, there has always been a shortage of publicly available cases for assessing variability-aware tools and techniques as well as supports for teaching variability-related concepts. Historical software product lines contains industrial secrets their owners do not want to disclose to a wide audience. The open source community contributed to large-scale cases such as Eclipse, Linux kernels, or web-based plugin systems (Drupal, WordPress). To assess accuracy of sampling and prediction approaches (bugs, performance), a case where all products can be enumerated is desirable. As configuration issues do not lie within only one place but are scattered across technologies and assets, a case exposing such diversity is an additional asset. To this end, we present in this paper our efforts in building an explicit product line on top of JHipster, an industrial open-source Web-app configurator that is both manageable in terms of configurations (approx. 163,000) and diverse in terms of technologies used. We present our efforts in building a variability-aware chain on top of JHipster's configurator and lessons learned using it as a teaching case at the University of Rennes. We also sketch the diversity of analyses that can be performed with our infrastructure as well as early issues found using it. Our long term goal is both to support students and researchers studying variability analysis and JHipster developers in the maintenance and evolution of their tools.
AB - Though variability is everywhere, there has always been a shortage of publicly available cases for assessing variability-aware tools and techniques as well as supports for teaching variability-related concepts. Historical software product lines contains industrial secrets their owners do not want to disclose to a wide audience. The open source community contributed to large-scale cases such as Eclipse, Linux kernels, or web-based plugin systems (Drupal, WordPress). To assess accuracy of sampling and prediction approaches (bugs, performance), a case where all products can be enumerated is desirable. As configuration issues do not lie within only one place but are scattered across technologies and assets, a case exposing such diversity is an additional asset. To this end, we present in this paper our efforts in building an explicit product line on top of JHipster, an industrial open-source Web-app configurator that is both manageable in terms of configurations (approx. 163,000) and diverse in terms of technologies used. We present our efforts in building a variability-aware chain on top of JHipster's configurator and lessons learned using it as a teaching case at the University of Rennes. We also sketch the diversity of analyses that can be performed with our infrastructure as well as early issues found using it. Our long term goal is both to support students and researchers studying variability analysis and JHipster developers in the maintenance and evolution of their tools.
KW - Case study
KW - Web-apps
KW - Variability-related Analyses
KW - Variability-related analyses
UR - http://www.scopus.com/inward/record.url?scp=85014953754&partnerID=8YFLogxK
U2 - 10.1145/3023956.3023963
DO - 10.1145/3023956.3023963
M3 - Conference contribution
SN - 978-1-4503-4811-9/17/02
T3 - VaMoS '17
SP - 44
EP - 51
BT - Proceedings - VaMoS 2017
A2 - Schaefer, Ina
A2 - ter Beek, Maurice H.
A2 - Siegmund, Norbert
PB - ACM Press
CY - Eindhoven, Netherlands
ER -