Systematic literature review protocol Identification and classification of feature modeling errors
Abstract
Context: The importance of feature modeling languages for software product lines and the planning stage for a systematic literature review. Objective: A protocol for carrying out a systematic literature review about the evidence for identifying and classifying the errors in feature modeling languages. Method: The definition of a protocol to conduct a systematic literature review according to the guidelines of B. Kitchenham. Results: A validated protocol to conduct a systematic literature review. Conclusions: A proposal for the protocol definition of a systematic literature review about the identification and classification of errors in feature modeling was built. Initial results show that the effects and results for solving these errors should be carried out.
Keywords
Cite
@article{arxiv.2010.15545,
title = {Systematic literature review protocol Identification and classification of feature modeling errors},
author = {Samuel Sepúlveda and Jaime Díaz and Marcelo Esperguel},
journal= {arXiv preprint arXiv:2010.15545},
year = {2020}
}
Comments
16 pages, 3 sections, 3 figures, 9 tables. arXiv admin note: substantial text overlap with arXiv:1911.09489