Model Driven Engineering, Artificial Intelligence, and DevOps for Software and Systems Engineering: A Systematic Mapping Study of Synergies and Challenges

Luca Berardinelli; Vittoriano Muttillo; Romina Eramo; Hugo Bruneliere; Abbas Rahimi; Antonio Ciccetti; Joan Ginger-Miguelez; Abel Gómez; Pasqualina Potenta; Mehrdad Saadatmand

doi:10.1145/3759454

Model Driven Engineering, Artificial Intelligence, and DevOps for Software and Systems Engineering: A Systematic Mapping Study of Synergies and Challenges

Luca Berardinelli^*
, Vittoriano Muttillo^*
, Romina Eramo^*
, Hugo Bruneliere^*
, Abbas Rahimi^*
, Antonio Ciccetti^*
, Joan Ginger-Miguelez^*
, Abel Gómez^*
, Pasqualina Potenta^*
, Mehrdad Saadatmand^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

his paper presents a systematic mapping study classifying existing scientific contributions on synergies of Model Driven Engineering (MDE), Artificial Intelligence/Machine Learning (AI/ML), and DevOps, with the overall objective of supporting the continuous development of Cyber-Physical Systems (CPSs). We collected papers from bibliographic sources and selected primary studies to analyse. Then, we characterised and classified the current state of the art, focusing on 1) main aspects already tackled at the intersection of at least two of the three studied areas, and 2) findings emerging from the analysis as a framework for potential future research, notably regarding the integration of the three studied areas. The results reveal that few approaches combine MDE, AI/ML, and DevOps for software and systems engineering.

Original language	English
Number of pages	52
Journal	ACM Transactions on Software Engineering and Methodology (TOSEM)
Early online date	25 Aug 2025
DOIs	https://doi.org/10.1145/3759454
Publication status	E-pub ahead of print - 25 Aug 2025

Fields of science

102020 Medical informatics
102022 Software development
102006 Computer supported cooperative work (CSCW)
102027 Web engineering
502050 Business informatics
102040 Quantum computing
102016 IT security
503015 Subject didactics of technical sciences
509026 Digitalisation research
102015 Information systems
102034 Cyber-physical systems
502032 Quality management
502015 Innovation management
502 Economics
211928 Systems engineering

JKU Focus areas

Digital Transformation
Sustainable Development: Responsible Technologies and Management

Access to Document

10.1145/3759454

Cite this

Berardinelli, L., Muttillo, V., Eramo, R., Bruneliere, H., Rahimi, A., Ciccetti, A., Ginger-Miguelez, J., Gómez, A., Potenta, P., & Saadatmand, M. (2025). Model Driven Engineering, Artificial Intelligence, and DevOps for Software and Systems Engineering: A Systematic Mapping Study of Synergies and Challenges. ACM Transactions on Software Engineering and Methodology (TOSEM). Advance online publication. https://doi.org/10.1145/3759454

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Berardinelli, L, Muttillo, V, Eramo, R, Bruneliere, H, Rahimi, A, Ciccetti, A, Ginger-Miguelez, J, Gómez, A, Potenta, P & Saadatmand, M 2025, 'Model Driven Engineering, Artificial Intelligence, and DevOps for Software and Systems Engineering: A Systematic Mapping Study of Synergies and Challenges', ACM Transactions on Software Engineering and Methodology (TOSEM). https://doi.org/10.1145/3759454

Model Driven Engineering, Artificial Intelligence, and DevOps for Software and Systems Engineering: A Systematic Mapping Study of Synergies and Challenges. / Berardinelli, Luca; Muttillo, Vittoriano; Eramo, Romina et al.
In: ACM Transactions on Software Engineering and Methodology (TOSEM), 25.08.2025.

Research output: Contribution to journal › Article › peer-review

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AU - Berardinelli, Luca

AU - Muttillo, Vittoriano

AU - Eramo, Romina

AU - Bruneliere, Hugo

AU - Rahimi, Abbas

AU - Ciccetti, Antonio

AU - Ginger-Miguelez, Joan

AU - Gómez, Abel

AU - Potenta, Pasqualina

AU - Saadatmand, Mehrdad

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