On the public citation graph

Retrieving API Knowledge from Tutorials and Stack Overflow Based on Natural Language Queries

0 signed · 52 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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 this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/widm.1369openalex-snapshot
Data‐driven approach to application programming interface documentation mining: A review
inferredcites →https://doi.org/10.1007/s10515-017-0220-7openalex-snapshot
Cost-sensitive transfer kernel canonical correlation analysis for heterogeneous defect prediction
inferredcites →https://doi.org/10.1007/s10664-010-9150-8openalex-snapshot
A field study of API learning obstacles
inferredcites →https://doi.org/10.1007/s10664-014-9323-yopenalex-snapshot
Recommending reference API documentation
inferredcites →https://doi.org/10.1007/s10664-021-09962-8openalex-snapshot
Generating API tags for tutorial fragments from Stack Overflow
inferredcites →https://doi.org/10.1016/0010-4825(87)90050-3openalex-snapshot
Conference on artificial intelligence
inferredcites →https://doi.org/10.1016/j.infsof.2020.106277openalex-snapshot
Mining API usage scenarios from stack overflow
inferredcites →https://doi.org/10.1016/j.infsof.2020.106367openalex-snapshot
PostFinder: Mining Stack Overflow posts to support software developers
inferredcites →https://doi.org/10.1016/j.procs.2017.05.045openalex-snapshot
Learning Entity and Relation Embeddings for Knowledge Resolution
inferredcites →https://doi.org/10.1109/cvpr.2015.7298717openalex-snapshot
Multi-manifold deep metric learning for image set classification
inferredcites →https://doi.org/10.1109/cvpr19808.2013openalex-snapshot
2013 IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr20399.2014openalex-snapshot
2014 IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/jcai15434.2009openalex-snapshot
2009 International Joint Conference on Artificial Intelligence
inferredcites →https://doi.org/10.1109/ms.2009.193openalex-snapshot
What Makes APIs Hard to Learn? Answers from Developers
inferredcites →https://doi.org/10.1109/ms.2017.3571566openalex-snapshot
International Conference on Software Engineering
inferredcites →https://doi.org/10.1109/tip.2017.2717505openalex-snapshot
Discriminative Deep Metric Learning for Face and Kinship Verification
inferredcites →https://doi.org/10.1109/tsc.2018.2812729openalex-snapshot
Leveraging Official Content and Social Context to Recommend Software Documentation
inferredcites →https://doi.org/10.1109/tse.2013.12openalex-snapshot
Patterns of Knowledge in API Reference Documentation
inferredcites →https://doi.org/10.1109/tse.2014.2387172openalex-snapshot
Extracting Development Tasks to Navigate Software Documentation
inferredcites →https://doi.org/10.1109/tse.2016.2597849openalex-snapshot
An Improved SDA Based Defect Prediction Framework for Both Within-Project and Cross-Project Class-Imbalance Problems
inferredcites →https://doi.org/10.1109/tse.2017.2750682openalex-snapshot
Expanding Queries for Code Search Using Semantically Related API Class-names
inferredcites →https://doi.org/10.1109/tse.2017.2779479openalex-snapshot
Automatic Identification and Classification of Software Development Video Tutorial Fragments
inferredcites →https://doi.org/10.1109/tse.2017.2782280openalex-snapshot
An Empirical Study on API Usages
inferredcites →https://doi.org/10.1109/tse.2018.2876006openalex-snapshot
Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding
inferredcites →https://doi.org/10.1109/tse.2019.2919304openalex-snapshot
Enriching API Documentation with Code Samples and Usage Scenarios from Crowd Knowledge
inferredcites →https://doi.org/10.1109/tse.2019.2946830openalex-snapshot
Easy-to-Deploy API Extraction by Multi-Level Feature Embedding and Transfer Learning
inferredcites →https://doi.org/10.1109/tse.2020.3016006openalex-snapshot
Chatbot4QR: Interactive Query Refinement for Technical Question Retrieval
inferredcites →https://doi.org/10.1109/tse.2021.3086494openalex-snapshot
Broken External Links on Stack Overflow
inferredcites →https://doi.org/10.1145/1656274.1656278openalex-snapshot
The WEKA data mining software
inferredcites →https://doi.org/10.1145/2597073.2597077openalex-snapshot
Mining StackOverflow to turn the IDE into a self-confident programming prompter
inferredcites →https://doi.org/10.1145/2990497openalex-snapshot
Generating API Call Rules from Version History and Stack Overflow Posts
inferredcites →https://doi.org/10.1145/3401026openalex-snapshot
Generating Question Titles for Stack Overflow from Mined Code Snippets
inferredcites →https://doi.org/10.1145/3412845openalex-snapshot
Technical Q8A Site Answer Recommendation via Question Boosting
inferredcites →https://doi.org/10.1145/3439769openalex-snapshot
Automatic API Usage Scenario Documentation from Technical Q&A Sites
inferredcites →https://doi.org/10.1145/3464689openalex-snapshot
Context-aware Retrieval-based Deep Commit Message Generation
inferredcites →https://doi.org/10.1201/9781439828632-11openalex-snapshot
Object-Oriented Programming
inferredcites →https://doi.org/10.2307/2529310openalex-snapshot
The Measurement of Observer Agreement for Categorical Data
inferredcites →https://doi.org/10.2307/3001968openalex-snapshot
Individual Comparisons by Ranking Methods
inferredcites →https://doi.org/10.4324/9781315806730openalex-snapshot
Ordinal Methods for Behavioral Data Analysis

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cae.22792openalex-snapshot
Learning beyond books: A hybrid model to learn real‐world problems
inferred← citeshttps://doi.org/10.1007/s10515-023-00401-0openalex-snapshot
Automatic recognizing relevant fragments of APIs using API references
inferred← citeshttps://doi.org/10.1007/s10515-024-00442-zopenalex-snapshot
The future of API analytics
inferred← citeshttps://doi.org/10.1007/s10664-025-10618-0openalex-snapshot
Evaluating interactive documentation for programmers
inferred← citeshttps://doi.org/10.1007/s10664-026-10938-9openalex-snapshot
Documentor mindsets: Considerations when contributing learning resources for software development technologies
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100732openalex-snapshot
Characterising harmful API uses and repair techniques: Insights from a systematic review
inferred← citeshttps://doi.org/10.1016/j.jss.2024.111964openalex-snapshot
An empirical study of code reuse between GitHub and stack overflow during software development
inferred← citeshttps://doi.org/10.1016/j.jss.2024.112296openalex-snapshot
MITU: Locating relevant tutorial fragments of APIs with multi-source API knowledge
inferred← citeshttps://doi.org/10.1109/saner64311.2025.00027openalex-snapshot
Improving API Knowledge Comprehensibility: A Context-Dependent Entity Detection and Context Completion Approach Using LLM
inferred← citeshttps://doi.org/10.1109/tse.2024.3403108openalex-snapshot
MR2-KG: A Multi-Relation Multi-Rationale Knowledge Graph for Modeling Software Engineering Knowledge on Stack Overflow
inferred← citeshttps://doi.org/10.1145/3702976openalex-snapshot
Non-Linear Software Documentation with Interactive Code Examples
inferred← citeshttps://doi.org/10.1145/3789667openalex-snapshot
Code-Enhanced Cross-Perspective Bug Question Retrieval
inferred← citeshttps://doi.org/10.4018/ijswis.358617openalex-snapshot
Semantic Web Approaches in Stack Overflow
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.