DARE: Domain analysis and reuse environment
Annals of Software Engineering
An Approach to Constructing Feature Models Based on Requirements Clustering
RE '05 Proceedings of the 13th IEEE International Conference on Requirements Engineering
On-Demand Cluster Analysis for Product Line Functional Requirements
SPLC '08 Proceedings of the 2008 12th International Software Product Line Conference
An Exploratory Study of Information Retrieval Techniques in Domain Analysis
SPLC '08 Proceedings of the 2008 12th International Software Product Line Conference
Extracting and Modeling Product Line Functional Requirements
RE '08 Proceedings of the 2008 16th IEEE International Requirements Engineering Conference
Proceedings of the 13th International Software Product Line Conference
On-demand feature recommendations derived from mining public product descriptions
Proceedings of the 33rd International Conference on Software Engineering
Reverse engineering feature models
Proceedings of the 33rd International Conference on Software Engineering
On extracting feature models from product descriptions
Proceedings of the Sixth International Workshop on Variability Modeling of Software-Intensive Systems
Product line engineering applied to CBTC systems development
ISoLA'12 Proceedings of the 5th international conference on Leveraging Applications of Formal Methods, Verification and Validation: applications and case studies - Volume Part II
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A company who wishes to enter an established marked with a new, competitive product is required to analyse the product solutions of the competitors. Identifying and comparing the features provided by the other vendors might greatly help during the market analysis. However, mining common and variant features of from the publicly available documents of the competitors is a time consuming and error-prone task. In this paper, we suggest to employ a natural language processing approach based on contrastive analysis to identify commonalities and variabilities from the brochures of a group of vendors. We present a first step towards a practical application of the approach, in the the context of the market of Communications-Based Train Control (CBTC) systems.