Systematic literature review protocol Identification and classification of feature modeling errors

10/28/2020
by   Samuel Sepúlveda, et al.
0

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.

READ FULL TEXT
research
03/26/2021

Systematic Mapping Protocol: Reasoning Algorithms on Feature Model

Context: The importance of the feature modeling for the software product...
research
11/20/2019

Systematic literature review protocol. Learning-outcomes and teaching-learning process: a Bloom's taxonomy perspective

Context: The importance of defining learning outcomes and the planning s...
research
02/08/2019

Systematization of Vulnerability Discovery Knowledge: Review Protocol

In this report, we describe the review protocol that will guide the syst...
research
03/12/2020

Analyzing the Impact of Automated User Assistance Systems: A Systematic Review

Context: User assistance is generally defined as the guided assistance t...
research
05/17/2022

Systematic Mapping Protocol: Variability Management in Dynamic Software Product Lines for Self-Adaptive Systems

Context: The Importance of Dynamic Variability Management in Dynamic Sof...
research
07/18/2019

Systematic Mapping Protocol Feature Modeling Tools

The customers and users need for new products and services according to ...
research
04/22/2022

Use of Context in Data Quality Management: a Systematic Literature Review

The importance of context in data quality (DQ) was shown many years ago ...

Please sign up or login with your details

Forgot password? Click here to reset