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CAISE
2015
Springer

Patterns for Identifying and Structuring Features from Textual Descriptions: An Exploratory Study

3 years 3 days ago
Patterns for Identifying and Structuring Features from Textual Descriptions: An Exploratory Study
Software Product Line Engineering (SPLE) supports developing and managing families of similar software products, termed Software Product Lines (SPLs). An essential SPLE activity is variability modeling which aims at representing the differences among the SPL’s members. This is commonly done with feature diagrams – graph structures specifying the user visible characteristics of SPL’s members and the dependencies among them. Despite the attention that feature diagrams attract, the identification of features and structuring them into feature diagrams remain challenging. In this study, we utilized Natural Language Processing (NLP) techniques in order to explore different patterns for identifying and structuring features from textual descriptions. Such a catalog of patterns is important for both manually-created and automatically-generated feature diagrams.
Nili Itzik, Iris Reinhartz-Berger
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where CAISE
Authors Nili Itzik, Iris Reinhartz-Berger
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