Systematic literature review protocol Identification and classification of feature modeling errors

TL;DR

This paper presents a validated protocol for systematically reviewing literature on identifying and classifying errors in feature modeling languages, aiming to improve software product line development.

Contribution

It provides a structured protocol following Kitchenham's guidelines for reviewing errors in feature modeling, which was not previously established.

Findings

A validated review protocol was developed.

Initial results indicate the need for further research on error effects.

The protocol facilitates systematic 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.