View in EDS HTML Full Text PDF Full Text

The technological landscape of collaborative model-driven software engineering.

Saved in:
Bibliographic Details
Title: The technological landscape of collaborative model-driven software engineering.
Authors: Choudhury, Abhishek1 (AUTHOR) a.choudhury@student.vu.nl, Malavolta, Ivano1 (AUTHOR) i.malavolta@vu.nl, Ciccozzi, Federico2 (AUTHOR) federico.ciccozzi@mdu.se, Aslam, Kousar1 (AUTHOR) k.aslam@vu.nl, Lago, Patricia1 (AUTHOR) p.lago@vu.nl
Source: Software & Systems Modeling. Oct2025, Vol. 24 Issue 5, p1595-1619. 25p.
Subjects: Model-driven software architecture, Groupware (Computer software), Professional competence, Cooperation, Problem solving
Abstract: Collaborative technologies are continuously evolving to address existing problems and introduce innovative features for enhancing collaboration in the landscape of model-driven software engineering (MDSE). Different collaborative MDSE technologies (CMTs) provide different solutions to facilitate collaboration, making it hard for practitioners to choose the technology that best suits their needs. This study aims to investigate the landscape of CMTs and to provide a list of recommended technologies tailored to specific use case scenarios in the context of MDSE. We compiled a comprehensive list of CMTs using a systematic search complemented with snowballing, investigating both academic and grey literature. The technologies were selected through a set of inclusion and exclusion criteria and eventually analyzed through an in-depth analysis focusing on model management, collaboration, and communication. The findings of our study reveal that the current landscape of CMTs is characterized by a relatively narrow range of capabilities offered by different technologies. Consequently, practitioners often have to become proficient in combining several different technologies in order to meet their needs. While various CMTs offer distinct collaboration approaches, the current landscape could be richer in terms of capabilities. Our research provides a comprehensive description of recommended CMTs, enabling practitioners to make informed decisions and improve collaboration in their MDSE processes. [ABSTRACT FROM AUTHOR]
Copyright of Software & Systems Modeling is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 187888145
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: The technological landscape of collaborative model-driven software engineering.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Choudhury%2C+Abhishek%22">Choudhury, Abhishek</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> a.choudhury@student.vu.nl</i><br /><searchLink fieldCode="AR" term="%22Malavolta%2C+Ivano%22">Malavolta, Ivano</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> i.malavolta@vu.nl</i><br /><searchLink fieldCode="AR" term="%22Ciccozzi%2C+Federico%22">Ciccozzi, Federico</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> federico.ciccozzi@mdu.se</i><br /><searchLink fieldCode="AR" term="%22Aslam%2C+Kousar%22">Aslam, Kousar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> k.aslam@vu.nl</i><br /><searchLink fieldCode="AR" term="%22Lago%2C+Patricia%22">Lago, Patricia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> p.lago@vu.nl</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Software+%26+Systems+Modeling%22">Software & Systems Modeling</searchLink>. Oct2025, Vol. 24 Issue 5, p1595-1619. 25p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Model-driven+software+architecture%22">Model-driven software architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Groupware+%28Computer+software%29%22">Groupware (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Professional+competence%22">Professional competence</searchLink><br /><searchLink fieldCode="DE" term="%22Cooperation%22">Cooperation</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Collaborative technologies are continuously evolving to address existing problems and introduce innovative features for enhancing collaboration in the landscape of model-driven software engineering (MDSE). Different collaborative MDSE technologies (CMTs) provide different solutions to facilitate collaboration, making it hard for practitioners to choose the technology that best suits their needs. This study aims to investigate the landscape of CMTs and to provide a list of recommended technologies tailored to specific use case scenarios in the context of MDSE. We compiled a comprehensive list of CMTs using a systematic search complemented with snowballing, investigating both academic and grey literature. The technologies were selected through a set of inclusion and exclusion criteria and eventually analyzed through an in-depth analysis focusing on model management, collaboration, and communication. The findings of our study reveal that the current landscape of CMTs is characterized by a relatively narrow range of capabilities offered by different technologies. Consequently, practitioners often have to become proficient in combining several different technologies in order to meet their needs. While various CMTs offer distinct collaboration approaches, the current landscape could be richer in terms of capabilities. Our research provides a comprehensive description of recommended CMTs, enabling practitioners to make informed decisions and improve collaboration in their MDSE processes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Software & Systems Modeling is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=187888145
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10270-025-01274-5
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 1595
    Subjects:
      – SubjectFull: Model-driven software architecture
        Type: general
      – SubjectFull: Groupware (Computer software)
        Type: general
      – SubjectFull: Professional competence
        Type: general
      – SubjectFull: Cooperation
        Type: general
      – SubjectFull: Problem solving
        Type: general
    Titles:
      – TitleFull: The technological landscape of collaborative model-driven software engineering.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Choudhury, Abhishek
      – PersonEntity:
          Name:
            NameFull: Malavolta, Ivano
      – PersonEntity:
          Name:
            NameFull: Ciccozzi, Federico
      – PersonEntity:
          Name:
            NameFull: Aslam, Kousar
      – PersonEntity:
          Name:
            NameFull: Lago, Patricia
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 16191366
          Numbering:
            – Type: volume
              Value: 24
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Software & Systems Modeling
              Type: main
ResultId 1