Andja Cico

Trondheim Kommune

Papers

1

Total Citations

4

H-Index

1

About

Andja Cico’s research sits at the intersection of artificial intelligence and software engineering, with a particular focus on how AI can transform and streamline development practices. Her most-cited work, “AI-assisted Software Engineering: a tertiary study” (2023), provides a comprehensive overview of systematic reviews in this rapidly evolving domain, synthesizing decades of progress to map the current landscape and identify future directions. This tertiary study has already garnered 4 citations, signaling its value as a foundational reference for researchers exploring AI’s role in coding, testing, and project management. Cico’s contribution lies in her ability to distill complex, fragmented literature into actionable insights, helping both academics and practitioners understand where AI tools are most effective and where gaps remain. Her work is particularly notable for its methodological rigor, offering a structured lens through which to evaluate the maturity of AI-assisted software engineering. As the field accelerates, Cico’s synthesis serves as a critical roadmap, guiding future innovations and ensuring that AI integration is both evidence-based and impactful.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
AI-assisted Software Engineering: a tertiary study
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Trondheim Kommune

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 71 days ago