Reverse engineering variability from requirement documents based on probabilistic relevance and word embedding-Reference-Cited by-同舟云学术

Reverse engineering variability from requirement documents based on probabilistic relevance and word embedding

Published:2018-09-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 22nd International Systems and Software Product Line Conference - Volume 1
language:
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Author:

Li Yang¹,Schulze Sandro¹,Saake Gunter¹

Affiliation:

1. Otto-von-Guericke Universität Magdeburg, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3233027.3233033

Reference38 articles.

1. An Exploratory Study of Information Retrieval Techniques in Domain Analysis

2. S. Apel D. Batory C. Kästner and G. Saake. 2013. Feature-Oriented Software Product Lines. Springer. S. Apel D. Batory C. Kästner and G. Saake. 2013. Feature-Oriented Software Product Lines. Springer.

3. Automated Reasoning on Feature Models

4. S. Bird E. Loper and E. Klein. 2009. Natural Language Processing with Python. O'Reilly Media Inc. S. Bird E. Loper and E. Klein. 2009. Natural Language Processing with Python. O'Reilly Media Inc.

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