TY - GEN
T1 - Feature relations graphs
T2 - 2nd IEEE International Working Conference on Software Visualization, VISSOFT 2014
AU - Martinez, Jabier
AU - Ziadi, Tewfik
AU - Mazo, Raul
AU - Bissyande, Tegawende F.
AU - Klein, Jacques
AU - Traon, Yves Le
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/9
Y1 - 2014/12/9
N2 - Software Product Line Engineering is a mature approach enabling the derivation of product variants by assembling reusable assets. In this context, domain experts widely use Feature Models as the most accepted formalism for capturing commonality and variability in terms of features. Feature Models also describe the constraints in feature combinations. In industrial settings, domain experts often deal with Software Product Lines with high numbers of features and constraints. Furthermore, the set of features are often regrouped in different subsets that are overseen by different stakeholders in the process. Consequently, the management of the complexity of large Feature Models becomes challenging. In this paper we propose a dedicated interactive visualisation paradigm to help domain experts and stakeholders to manage the challenges in maintaining the constraints among features. We build Feature Relations Graphs (Frogs) by mining existing product configurations. For each feature, we are able to display a Frog which shows the impact, in terms of constraints, of the considered feature on all the other features. The objective is to help domain experts to 1) obtain a better understanding of feature constraints, 2) potentially refine the existing feature model by uncovering and formalizing missing constraints and 3) serve as a recommendation system, during the configuration of a new product, based on the tendencies found in existing configurations. The paper illustrates the visualisation paradigm with the industrial case study of Renault's Electric Parking System Software Product Line.
AB - Software Product Line Engineering is a mature approach enabling the derivation of product variants by assembling reusable assets. In this context, domain experts widely use Feature Models as the most accepted formalism for capturing commonality and variability in terms of features. Feature Models also describe the constraints in feature combinations. In industrial settings, domain experts often deal with Software Product Lines with high numbers of features and constraints. Furthermore, the set of features are often regrouped in different subsets that are overseen by different stakeholders in the process. Consequently, the management of the complexity of large Feature Models becomes challenging. In this paper we propose a dedicated interactive visualisation paradigm to help domain experts and stakeholders to manage the challenges in maintaining the constraints among features. We build Feature Relations Graphs (Frogs) by mining existing product configurations. For each feature, we are able to display a Frog which shows the impact, in terms of constraints, of the considered feature on all the other features. The objective is to help domain experts to 1) obtain a better understanding of feature constraints, 2) potentially refine the existing feature model by uncovering and formalizing missing constraints and 3) serve as a recommendation system, during the configuration of a new product, based on the tendencies found in existing configurations. The paper illustrates the visualisation paradigm with the industrial case study of Renault's Electric Parking System Software Product Line.
UR - https://www.scopus.com/pages/publications/84920664920
U2 - 10.1109/VISSOFT.2014.18
DO - 10.1109/VISSOFT.2014.18
M3 - Conference contribution
AN - SCOPUS:84920664920
T3 - Proceedings - 2nd IEEE Working Conference on Software Visualization, VISSOFT 2014
SP - 50
EP - 59
BT - Proceedings - 2nd IEEE Working Conference on Software Visualization, VISSOFT 2014
A2 - Sahraoui, Houari
A2 - Zaidman, Andy
A2 - Sharif, Bonita
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 29 September 2014 through 30 September 2014
ER -