Systematic literature review protocol Identification and classification of feature modeling errors
This work addresses the need for systematic evidence on errors in feature modeling languages for software product lines, but it is incremental as it focuses on protocol development rather than new findings.
The authors tackled the problem of identifying and classifying errors in feature modeling languages by developing a protocol for a systematic literature review, resulting in a validated protocol that suggests further research is needed to address these errors.
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.