On the public citation graph

Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering

https://doi.org/10.1145/3558489
0 signed · 16 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.aei.2021.101510openalex-snapshot
DRLSTM: A dual-stage deep learning approach driven by raw monitoring data for dam displacement prediction
inferred← citeshttps://doi.org/10.1016/j.future.2025.108107openalex-snapshot
Cybersecurity in the age of generative AI: A systematic taxonomy of AI-powered vulnerability assessment and risk management
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107737openalex-snapshot
Don’t settle for the first! How many GitHub Copilot solutions should you check?
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107751openalex-snapshot
Copiloting the future: How generative AI transforms Software Engineering
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107758openalex-snapshot
Benchmarking large language models for automated labeling: The case of issue report classification
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107786openalex-snapshot
Generating vulnerability security fixes with Code Language Models
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121370openalex-snapshot
HardVD: High-capacity cross-modal adversarial reprogramming for data-efficient vulnerability detection
inferred← citeshttps://doi.org/10.1016/j.jss.2024.112204openalex-snapshot
Exploring the problems, their causes and solutions of AI pair programming: A study on GitHub and Stack Overflow
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112581openalex-snapshot
Towards higher quality software vulnerability data using LLM-based patch filtering
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112618openalex-snapshot
Rethinking data selection strategies for more accurate software effort prediction using the ISBSG dataset
inferred← citeshttps://doi.org/10.1080/08874417.2025.2470919openalex-snapshot
Improving Software Development Traceability with Structured Prompting
inferred← citeshttps://doi.org/10.1145/3696630.3728551openalex-snapshot
Efficient and Robust Security-Patch Localization for Disclosed OSS Vulnerabilities with Fine-Tuned LLMs in an Industrial Setting
inferred← citeshttps://doi.org/10.1145/3696630.3728581openalex-snapshot
VO-GCSE: Verification Optimization through Global Common Subexpression Elimination
inferred← citeshttps://doi.org/10.1145/3712190openalex-snapshot
AI for DevSecOps: A Landscape and Future Opportunities
inferred← citeshttps://doi.org/10.1145/3719006openalex-snapshot
Artificial Intelligence for Software Engineering: The Journey So Far and the Road Ahead
inferred← citeshttps://doi.org/10.1145/3769082openalex-snapshot
LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.