TY - GEN
T1 - Constructing domain knowledge through cross product line analysis
AU - Wulf-Hadash, Ora
AU - Reinhartz-Berger, Iris
PY - 2013
Y1 - 2013
N2 - Nowadays many companies develop and maintain families of systems, termed product lines (PL), rather than individual systems. Furthermore, due to increase in market competition and the dynamic nature of companies' emergence, several PLs may exist under the same roof. These PLs may be independently developed taking into consideration different sets of products and requirements. Thus the developed artifacts potentially have a different and partial view of the domain. Moreover, future development and maintenance of the different PLs may require consolidating the various artifacts into a single coherent one. In this work, we present a method for constructing domain knowledge through cross PL analysis. This method uses similarity metrics, text clustering, and mining techniques in order to create domain models and recommend on improvements to the existing PLs artifacts. Preliminary results reveal that the method outcomes reflect human perception of the examined domain.
AB - Nowadays many companies develop and maintain families of systems, termed product lines (PL), rather than individual systems. Furthermore, due to increase in market competition and the dynamic nature of companies' emergence, several PLs may exist under the same roof. These PLs may be independently developed taking into consideration different sets of products and requirements. Thus the developed artifacts potentially have a different and partial view of the domain. Moreover, future development and maintenance of the different PLs may require consolidating the various artifacts into a single coherent one. In this work, we present a method for constructing domain knowledge through cross PL analysis. This method uses similarity metrics, text clustering, and mining techniques in order to create domain models and recommend on improvements to the existing PLs artifacts. Preliminary results reveal that the method outcomes reflect human perception of the examined domain.
KW - Domain Analysis
KW - Empirical Evaluation
KW - Feature Clustering
KW - Feature Diagrams
KW - Feature Mining
KW - Feature Similarity
KW - Software Product Lines
UR - http://www.scopus.com/inward/record.url?scp=84879855069&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-38484-4_25
DO - 10.1007/978-3-642-38484-4_25
M3 - Conference contribution
AN - SCOPUS:84879855069
SN - 9783642384837
T3 - Lecture Notes in Business Information Processing
SP - 354
EP - 369
BT - Enterprise, Business-Process and Information Systems Modeling - 14th International Conference, BPMDS 2013, 18th International Conference, EMMSAD 2013, Held at CAiSE 2013, Proceedings
PB - Springer Verlag
T2 - 14th International Conference on Business Process Modeling, Development and Support, BPMDS 2013, and the 18th International Conference on Exploring Modeling Methods for Systems Analysis and Design, EMMSAD 2013, Held at CAiSE 2013
Y2 - 17 June 2013 through 18 June 2013
ER -