A Literature Review and Comparison of Three Feature Location Techniques using ArgoUML-SPL-Reference-Cited by-同舟云学术

A Literature Review and Comparison of Three Feature Location Techniques using ArgoUML-SPL

Published:2019-02-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th International Workshop on Variability Modelling of Software-Intensive Systems
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Author:

Cruz Daniel¹,Figueiredo Eduardo¹,Martinez Jabier²

Affiliation:

1. Universidade Federal de Minas Gerais, Brazil

2. Tecnalia, Spain

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3302333.3302343

Reference54 articles.

1. Identifying crosscutting concerns using historical code changes

2. Giuliano Antoniol and Yann-Gaël Guéhéneuc. 2005. Feature identification: a novel approach and a case study. In null. IEEE 357--366. 10.1109/ICSM.2005.48 Giuliano Antoniol and Yann-Gaël Guéhéneuc. 2005. Feature identification: a novel approach and a case study. In null. IEEE 357--366. 10.1109/ICSM.2005.48

3. Feature location for software product line migration

4. Yoshua Bengio Réjean Ducharme Pascal Vincent and Christian Janvin. 2003. A Neural Probabilistic Language Model. J. Mach. Learn. Res. 3 (March 2003) 1137--1155. http://dl.acm.org/citation.cfm?id=944919.944966 Yoshua Bengio Réjean Ducharme Pascal Vincent and Christian Janvin. 2003. A Neural Probabilistic Language Model. J. Mach. Learn. Res. 3 (March 2003) 1137--1155. http://dl.acm.org/citation.cfm?id=944919.944966

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