Recommender systems in model-driven engineering A systematic mapping review

Recommender systems are information filtering systems used in many online applications like music and video broadcasting and e-commerce platforms. They are also increasingly being applied to facilitate software engineering activities. Following this trend, we are witnessing a growing research intere...

Full description

Saved in:
Bibliographic Details
Published inSoftware and systems modeling Vol. 21; no. 1; pp. 249 - 280
Main Authors Almonte, Lissette, Guerra, Esther, Cantador, Iván, de Lara, Juan
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2022
Subjects
Compilers
Computer Science
Information Systems Applications (incl.Internet)
Interpreters
IT in Business
Programming Languages
Programming Techniques
Regular Paper
Software Engineering
Software Engineering/Programming and Operating Systems
Model-driven engineering
Systematic mapping review
Recommender systems
Online AccessGet full text

Cover

More Information
Summary:Recommender systems are information filtering systems used in many online applications like music and video broadcasting and e-commerce platforms. They are also increasingly being applied to facilitate software engineering activities. Following this trend, we are witnessing a growing research interest on recommendation approaches that assist with modelling tasks and model-based development processes. In this paper, we report on a systematic mapping review (based on the analysis of 66 papers) that classifies the existing research work on recommender systems for model-driven engineering (MDE). This study aims to serve as a guide for tool builders and researchers in understanding the MDE tasks that might be subject to recommendations, the applicable recommendation techniques and evaluation methods, and the open challenges and opportunities in this field of research.
ISSN:1619-1366
1619-1374
DOI:10.1007/s10270-021-00905-x