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Agentic AI in the next frontier of model-based software engineering: the arrival of AI-hyper-agile software engineering methods?

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Title: Agentic AI in the next frontier of model-based software engineering: the arrival of AI-hyper-agile software engineering methods?
Authors: Chechik, Marsha1 (AUTHOR) marsha.chechik@sosym.org, Combemale, Benoit2 (AUTHOR) benoit.combemale@sosym.org, Gray, Jeff3 (AUTHOR) jeff.gray@sosym.org, Rumpe, Bernhard4 (AUTHOR) bernhard.rumpe@sosym.org
Source: Software & Systems Modeling. Apr2026, Vol. 25 Issue 2, p315-317. 3p.
Subjects: Intelligent agents, Software engineering, Model-driven software architecture, Human-artificial intelligence interaction, Computer software development, Software architecture
Abstract: The article focuses on the integration of agentic artificial intelligence (AI) with Model-Based Systems Engineering (MBSE) to enhance the systematic development of complex software-intensive systems. Agentic AI refers to autonomous AI systems capable of goal-driven, multi-step tasks, potentially acting as co-developers in software projects by participating in modeling, design negotiation, and traceability maintenance. The authors propose a new paradigm called AI-hyper-agile software engineering (AHASE), where AI agents follow established MBSE methodologies to produce explainable, consistent, and verifiable artifacts while collaborating with human engineers. This approach envisions AI agents as intelligent intermediaries that simplify tool usage, guide development processes, and support methodological governance, raising questions about adapting current modeling tools and workflows to be "agent-ready." The article calls for research contributions to explore these challenges and opportunities within the MBSE community. [Extracted from the article]
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
FullText Text:
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DbLabel: Engineering Source
An: 192418430
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Agentic AI in the next frontier of model-based software engineering: the arrival of AI-hyper-agile software engineering methods?
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  Data: <searchLink fieldCode="JN" term="%22Software+%26+Systems+Modeling%22">Software & Systems Modeling</searchLink>. Apr2026, Vol. 25 Issue 2, p315-317. 3p.
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  Data: <searchLink fieldCode="DE" term="%22Intelligent+agents%22">Intelligent agents</searchLink><br /><searchLink fieldCode="DE" term="%22Software+engineering%22">Software engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Model-driven+software+architecture%22">Model-driven software architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Human-artificial+intelligence+interaction%22">Human-artificial intelligence interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br /><searchLink fieldCode="DE" term="%22Software+architecture%22">Software architecture</searchLink>
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  Data: The article focuses on the integration of agentic artificial intelligence (AI) with Model-Based Systems Engineering (MBSE) to enhance the systematic development of complex software-intensive systems. Agentic AI refers to autonomous AI systems capable of goal-driven, multi-step tasks, potentially acting as co-developers in software projects by participating in modeling, design negotiation, and traceability maintenance. The authors propose a new paradigm called AI-hyper-agile software engineering (AHASE), where AI agents follow established MBSE methodologies to produce explainable, consistent, and verifiable artifacts while collaborating with human engineers. This approach envisions AI agents as intelligent intermediaries that simplify tool usage, guide development processes, and support methodological governance, raising questions about adapting current modeling tools and workflows to be "agent-ready." The article calls for research contributions to explore these challenges and opportunities within the MBSE community. [Extracted from the article]
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  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.)
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        Value: 10.1007/s10270-026-01362-0
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      – Code: eng
        Text: English
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        PageCount: 3
        StartPage: 315
    Subjects:
      – SubjectFull: Intelligent agents
        Type: general
      – SubjectFull: Software engineering
        Type: general
      – SubjectFull: Model-driven software architecture
        Type: general
      – SubjectFull: Human-artificial intelligence interaction
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      – SubjectFull: Computer software development
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      – SubjectFull: Software architecture
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      – TitleFull: Agentic AI in the next frontier of model-based software engineering: the arrival of AI-hyper-agile software engineering methods?
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            NameFull: Combemale, Benoit
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            NameFull: Gray, Jeff
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            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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