On the public citation graph
Query expansion based on statistical learning from code changes
0 signed · 53 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/csla.1996.0011openalex-snapshot
A maximum entropy approach to adaptive statistical language modelling
inferredcites →https://doi.org/10.1007/s10664-013-9264-xopenalex-snapshot
SWordNet: Inferring semantically related words from software context
inferredcites →https://doi.org/10.1007/s11704-015-4409-2openalex-snapshot
Source code fragment summarization with small-scale crowdsourcing based features
inferredcites →https://doi.org/10.1016/j.infsof.2016.11.002openalex-snapshot
Improved bug localization based on code change histories and bug reports
inferredcites →https://doi.org/10.1017/cbo9780511809071openalex-snapshot
Introduction to Information Retrieval
inferredcites →https://doi.org/10.1109/ase.2015.42openalex-snapshot
CodeHow: Effective Code Search Based on API Understanding and Extended Boolean Model (E)
inferredcites →https://doi.org/10.1109/csmr-wcre.2014.6747190openalex-snapshot
NL-based query refinement and contextualized code search results: A user study
inferredcites →https://doi.org/10.1109/icassp.1993.319225openalex-snapshot
Trigger-based language models: a maximum entropy approach
inferredcites →https://doi.org/10.1109/icse.2012.6227205openalex-snapshot
Graph-based pattern-oriented, context-sensitive source code completion
inferredcites →https://doi.org/10.1109/icse.2013.6606630openalex-snapshot
Automatic query reformulations for text retrieval in software engineering
inferredcites →https://doi.org/10.1109/icsm.2013.84openalex-snapshot
CONQUER: A Tool for NL-Based Query Refinement and Contextualizing Code Search Results
inferredcites →https://doi.org/10.1109/msr.2013.6624052openalex-snapshot
Automatically mining software-based, semantically-similar words from comment-code mappings
inferredcites →https://doi.org/10.1109/saner.2015.7081874openalex-snapshot
Query expansion via WordNet for effective code search
inferredcites →https://doi.org/10.1109/tsc.2015.2511814openalex-snapshot
Editorial: Services Computing in 2016
inferredcites →https://doi.org/10.1109/tsc.2016.2560165openalex-snapshot
Query Expansion Based on Crowd Knowledge for Code Search
inferredcites →https://doi.org/10.1109/tse.2007.70731openalex-snapshot
Change Distilling:Tree Differencing for Fine-Grained Source Code Change Extraction
inferredcites →https://doi.org/10.1109/wpc.1998.693351openalex-snapshot
Archetypal source code searches: a survey of software developers and maintainers
inferredcites →https://doi.org/10.1145/1218563.1218587openalex-snapshot
Using natural language program analysis to locate and understand action-oriented concerns
inferredcites →https://doi.org/10.1145/1925805.1925815openalex-snapshot
An examination of software engineering work practices
inferredcites →https://doi.org/10.1145/2071389.2071390openalex-snapshot
A Survey of Automatic Query Expansion in Information Retrieval
inferredcites →https://doi.org/10.1145/2393596.2393606openalex-snapshot
Searching connected API subgraph via text phrases
inferredcites →https://doi.org/10.1145/2568225.2568250openalex-snapshot
CodeHint: dynamic and interactive synthesis of code snippets
inferredcites →https://doi.org/10.1145/2568225.2568292openalex-snapshot
Spotting working code examples
inferredcites →https://doi.org/10.1145/2568225.2568317openalex-snapshot
Mining fine-grained code changes to detect unknown change patterns
inferredcites →https://doi.org/10.1145/2594291.2594321openalex-snapshot
Code completion with statistical language models
inferredcites →https://doi.org/10.1145/2597008.2597146openalex-snapshot
Ranking crowd knowledge to assist software development
inferredcites →https://doi.org/10.1145/2597073.2597087openalex-snapshot
Thesaurus-based automatic query expansion for interface-driven code search
inferredcites →https://doi.org/10.1145/2627508.2627514openalex-snapshot
Empirical studies on the NLP techniques for source code data preprocessing
inferredcites →https://doi.org/10.1145/2635868.2635883openalex-snapshot
Learning natural coding conventions
inferredcites →https://doi.org/10.1145/2786805.2786855openalex-snapshot
How developers search for code: a case study
inferredcites →https://doi.org/10.1145/2884781.2884804openalex-snapshot
Automatically learning semantic features for defect prediction
inferredcites →https://doi.org/10.1145/2884781.2884862openalex-snapshot
From word embeddings to document similarities for improved information retrieval in software engineering
inferredcites →https://doi.org/10.1145/2950290.2950333openalex-snapshot
API code recommendation using statistical learning from fine-grained changes
inferredcites →https://doi.org/10.1145/2970276.2970326openalex-snapshot
Deep learning code fragments for code clone detection
inferredcites →https://doi.org/10.1145/32206.32212openalex-snapshot
The vocabulary problem in human-system communication
inferredcites →https://doi.org/10.1287/mnsc.1070.0748openalex-snapshot
Code Reuse in Open Source Software
inferredcites →https://doi.org/10.7551/mitpress/7287.003.0018openalex-snapshot
Combining Local Context and WordNet Similarity for Word Sense Identification
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.70277openalex-snapshot
A Survey of the Full Process of Code Search Based on Deep Learning
inferred← citeshttps://doi.org/10.1002/spe.2736openalex-snapshot
Deep learning the semantics of change sequences for query expansion
inferred← citeshttps://doi.org/10.1002/spe.3406openalex-snapshot
Search Multiple Types of Research Assets From Jupyter Notebook
inferred← citeshttps://doi.org/10.1007/s11042-020-09172-2openalex-snapshot
A contemporary combined approach for query expansion
inferred← citeshttps://doi.org/10.1109/tse.2023.3346954openalex-snapshot
Answering Uncertain, Under-Specified API Queries Assisted by Knowledge-Aware Human-AI Dialogue
inferred← citeshttps://doi.org/10.1142/s0218194021500169openalex-snapshot
Search for Compatible Source Code
inferred← citeshttps://doi.org/10.1145/3412845openalex-snapshot
Technical Q8A Site Answer Recommendation via Question Boosting
inferred← citeshttps://doi.org/10.1145/3480027openalex-snapshot
Opportunities and Challenges in Code Search Tools
inferred← citeshttps://doi.org/10.1145/3597206openalex-snapshot
Semantic-Enriched Code Knowledge Graph to Reveal Unknowns in Smart Contract Code Reuse
inferred← citeshttps://doi.org/10.1145/3607179openalex-snapshot
A Systematic Review of Automated Query Reformulations in Source Code Search
inferred← citeshttps://doi.org/10.1145/3656341openalex-snapshot
A Survey of Source Code Search: A 3-Dimensional Perspective
inferred← citeshttps://doi.org/10.3233/kes-200033openalex-snapshot
Query expansion via learning change sequences
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.