mlsanityData to 14 Oct 2026

6GSoft: Software for Edge-to-Cloud Continuum

arXiv 2407.05963 ↗First posted 8 Jul 2024cs.SE cs.AI cs.NIcited by 5

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Abstract (arXiv)

In the era of 6G, developing and managing software requires cutting-edge software engineering (SE) theories and practices tailored for such complexity across a vast number of connected edge devices. Our project aims to lead the development of sustainable methods and energy-efficient orchestration models specifically for edge environments, enhancing architectural support driven by AI for contemporary edge-to-cloud continuum computing. This initiative seeks to position Finland at the forefront of the 6G landscape, focusing on sophisticated edge orchestration and robust software architectures to optimize the performance and scalability of edge networks. Collaborating with leading Finnish universities and companies, the project emphasizes deep industry-academia collaboration and international expertise to address critical challenges in edge orchestration and software architecture, aiming to drive significant advancements in software productivity and market impact.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 21 of its 112 references that are in the map. First posted on arXiv 8 Jul 2024.

Builds on

21 of 112 references.

References · 21

  1. 2023Large Language Models for Software Engineering: A Systematic Literature Reviewcited by 399
  2. 2024MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolutioncited by 134
  3. 2018Semantically Enhanced Software Traceability Using Deep Learning Techniquescited by 22
  4. 2021Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Modelscited by 20
  5. 2022Five Facets of 6G: Research Challenges and Opportunitiescited by 17
  6. 2024An Extensive Comparison of Static Application Security Testing Toolscited by 10
  7. 2024Leveraging Large Language Models for Preliminary Security Risk Analysis: A Mission-Critical Case Studycited by 10
  8. 2024Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysiscited by 9
  9. 2022The Use of NLP-Based Text Representation Techniques to Support Requirement Engineering Tasks: A Systematic Mapping Reviewcited by 5
  10. 2023Software Architecture in Practice: Challenges and Opportunitiescited by 4
  11. 2023Edge to Cloud Tools: A Multivocal Literature Reviewcited by 3
  12. 2024On the correlation between Architectural Smells and Static Analysis Warningscited by 3
9 more
  1. 2022THz-Empowered UAVs in 6G: Opportunities, Challenges, and Trade-Offscited by 2
  2. 2022Microservice Architecture Reconstruction and Visualization Techniques: A Reviewcited by 2
  3. 2024QCSHQD: Quantum computing as a service for Hybrid classical-quantum software development: A Visioncited by 2
  4. 2021Disaggregation for Energy Efficient Fog in Future 6G Networkscited by 1
  5. 2023Workrs: Fault Tolerant Horizontal Computation Offloadingcited by 1
  6. 2023Benchmarks for End-to-End Microservices Testingcited by 1
  7. 2023End-to-End Test Coverage Metrics in Microservice Systems: An Automated Approachcited by 1
  8. 2023Evaluating Microservice Organizational Coupling based on Cross-service Contributioncited by 1
  9. 20246G Software Engineering: A Systematic Mapping Studycited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 2.

5 papers.

  1. 2025Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directionscited by 23
  2. 2024On Large Language Models in Mission-Critical IT Governance: Are We Ready Yet?cited by 9
  3. 2025Autonomic Microservice Management via Agentic AI and MAPE-K Integrationcited by 0
  4. 2026The Invisible Hand of AI Libraries Shaping Open Source Projects and Communitiescited by 0
  5. 2026Making Sense of AI Agents Hype: Adoption, Architectures, and Takeaways from Practitionerscited by 0