AIDOaRt: AI-augmented Automation for DevOps, a model-based framework for continuous development in Cyber–Physical Systems

An iterative approach for model-based requirements engineering in large collaborative projects: A detailed experience report

“…Fig. 8 shows an excerpt from two generated deliverable documents, D3.2 [55] and D3.3 [56] 7 . This example shows the cover page, meta-data, auto-generated table of contents, as well as headings, paragraphs, lists, diagrams, and tables that are generated from the MBRE model.…”

“…The solution was incrementally designed, developed, refined, and applied in five large European projects over more than seven years: H2020 DataBio 1 2017-2019 [22], ITEA3 REVaMP2 2 2016-2019 [23], ECSEL MegaM@Rt2 3 2017-2020 [24], H2020 VeriDevOps 4 2020-2023 [25], and ECSEL AIDOaRt 5 2021-2024 [26], providing various complex software solutions (frameworks, integrated tool sets, etc.). However, we have already faced similar challenges in coordinating RE processes and developments in more than fifteen similar European collaborative research projects.…”

Multicriteria decision‐making–based framework for implementing DevOps practices: A fuzzy best–worst approach

“…The SLR effectively addressed the first research question by revealing a list of 19 software practices. The practice list provided in To facilitate understanding, these practices can be grouped into different phases of the DevOps lifecycle, namely, Continuous Planning, 71,72 Continuous Development, 73 Continuous Testing, 74,75 Continuous Integration, 9 Continuous Deployment, 76 and Continuous Monitoring. 77 These groupings align with industry standards and reflect the interconnected nature of these practices in achieving successful DevOps implementations.…”

Towards Automating Model-Based Systems Engineering in Industry - An Experience Report

“…In this paper, we present the current status of the collaboration started 2 years ago (and still ongoing) between different solution providers and use case providers in the context of the AIDOaRt research project [8]. Notably, the paper use case is one of several in the project, focusing on the digitalization of the construction equipment domain, pushing for the inclusion of cutting-edge technologies.…”