AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems

AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems is a science project.

Event research_grant eu_cordis:101007350
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Summary

AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems is a science project[1].

Key Facts

  • AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems's instance of is recorded as science project[2].
  • AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems began on April 1, 2021[3].
  • AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems ended on September 30, 2024[4].
  • AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems's short name is recorded as AIDOaRt[5].
  • AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems's budget is recorded as {'unit': 'http://www.wikidata.org/entity/Q4916', 'amount': '+22543755.19'}[6].
  • AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems's funding scheme is recorded as Horizon 2020[7].

Body

When and Where

AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems began on April 1, 2021[3]. It ended on September 30, 2024[4].

Context

AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems's instance of is recorded as science project[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.
  2. [3] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems. Retrieved October 8, 2026, from https://4ort.xyz/entity/ai-augmented-automation-for-efficient-devops-a-model-based-framework-for-continuous-development-at-runtime-in-cyber-phys
MLA “AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 8 Oct. 2026, https://4ort.xyz/entity/ai-augmented-automation-for-efficient-devops-a-model-based-framework-for-continuous-development-at-runtime-in-cyber-phys.
BibTeX @misc{4ortxyz_ai-augmented-automation-for-efficient-devops-a-model-based-framework-for-continuous-development-at-runtime-in-cyber-phys_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems}}, year = {2026}, url = {https://4ort.xyz/entity/ai-augmented-automation-for-efficient-devops-a-model-based-framework-for-continuous-development-at-runtime-in-cyber-phys}, note = {Accessed: 2026-10-08}}
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