research-article

MDE in the Wild: An Exploratory Analysis on What Developers are Discussing from Q&A Platforms

Authors:

Carlos Alberto Medeiros,

Paulo Henrique M. Maia,

Matheus PaixaoAuthors Info & Claims

SBES '20: Proceedings of the XXXIV Brazilian Symposium on Software Engineering

Pages 157 - 166

https://doi.org/10.1145/3422392.3422447

Published: 21 December 2020 Publication History

Abstract

Model-Driven Engineering (MDE) is an approach that considers models as first-class entities used in the software analysis, design and implementation. Although MDE has become popular in both academia and industry as an alternative for tackling the growing complexity of modern software, MDE has not been largely adopted in the software development process. A possible way to mitigate those problems consists of understanding how MDE has been applied in practice and what are the main barriers found by developers. Hence, this paper presents an exploratory study to analyse the discussions about MDE from two Q&A platforms: Stack Overflow and Software Engineering Stack Exchange. One hundred fourteen discussions have been analysed under four perspectives: discussion type, application domain, tools, and developer interest. As a result, we identified that 69, 30% of the discussions regard technical aspects, from which metamodelling is the most discussed topic, and Xtext is the most discussed tool. In addition, we observed that discussions in which developers suggest MDE-related tools tend to attract more views and answers.

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Cited By

Eramo RNolletti MPomante LPasquale LPascucci D(2024)Model‐driven engineering for simulation models interoperability: A case study in space industrySoftware: Practice and Experience10.1002/spe.330954:6(1010-1033)Online publication date: 4-Jan-2024
https://doi.org/10.1002/spe.3309
Boyalakuntla KChinnakali MChimalakonda SK CRoychoudhury ACadar CKim M(2022)eGEN: an energy-saving modeling language and code generator for location-sensing of mobile appsProceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3540250.3558914(1697-1700)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3540250.3558914
Costa DCortés MGama E(2021)On the relation between technical debt indicators and quality criteria in Stack Overflow discussionsProceedings of the XXXV Brazilian Symposium on Software Engineering10.1145/3474624.3474648(432-441)Online publication date: 27-Sep-2021
https://dl.acm.org/doi/10.1145/3474624.3474648

Index Terms

MDE in the Wild: An Exploratory Analysis on What Developers are Discussing from Q&A Platforms
1. Information systems
  1. Information systems applications
    1. Data mining

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cover image ACM Other conferences

SBES '20: Proceedings of the XXXIV Brazilian Symposium on Software Engineering

October 2020

901 pages

ISBN:9781450387538

DOI:10.1145/3422392

General Chairs:
Everton Cavalcante
UFRN, Brazil
,
Francisco Dantas
UERN, Brazil
,
Thais Batista
UFRN, Brazil

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Published: 21 December 2020

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SBES '20: 34th Brazilian Symposium on Software Engineering

October 21 - 23, 2020

Natal, Brazil

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Cited By

Eramo RNolletti MPomante LPasquale LPascucci D(2024)Model‐driven engineering for simulation models interoperability: A case study in space industrySoftware: Practice and Experience10.1002/spe.330954:6(1010-1033)Online publication date: 4-Jan-2024
https://doi.org/10.1002/spe.3309
Boyalakuntla KChinnakali MChimalakonda SK CRoychoudhury ACadar CKim M(2022)eGEN: an energy-saving modeling language and code generator for location-sensing of mobile appsProceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3540250.3558914(1697-1700)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3540250.3558914
Costa DCortés MGama E(2021)On the relation between technical debt indicators and quality criteria in Stack Overflow discussionsProceedings of the XXXV Brazilian Symposium on Software Engineering10.1145/3474624.3474648(432-441)Online publication date: 27-Sep-2021
https://dl.acm.org/doi/10.1145/3474624.3474648

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