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https://doi.org/10.1002/spe.2772
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What this work says

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

inferredcites →https://doi.org/10.1002/smr.1859openalex-snapshot
Using discriminative feature in software entities for relevance identification of code changes
inferredcites →https://doi.org/10.1007/978-3-642-13881-2_7openalex-snapshot
Automatic Quality Assessment of Source Code Comments: The JavadocMiner
inferredcites →https://doi.org/10.1007/s10664-019-09694-wopenalex-snapshot
Classifying code comments in Java software systems
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1016/j.knosys.2008.03.033openalex-snapshot
Improving program comprehension by combining code understanding with comment understanding
inferredcites →https://doi.org/10.1016/s0020-7373(87)80053-6openalex-snapshot
Simplifying decision trees
inferredcites →https://doi.org/10.1109/32.106988openalex-snapshot
Cyclomatic complexity density and software maintenance productivity
inferredcites →https://doi.org/10.1109/ase.2013.6693113openalex-snapshot
AutoComment: Mining question and answer sites for automatic comment generation
inferredcites →https://doi.org/10.1109/compsacw.2011.27openalex-snapshot
Injecting Comments to Detect JavaScript Code Injection Attacks
inferredcites →https://doi.org/10.1109/esem.2011.22openalex-snapshot
How Good is Your Comment? A Study of Comments in Java Programs
inferredcites →https://doi.org/10.1109/esem.2017.56openalex-snapshot
Mining Version Control System for Automatically Generating Commit Comment
inferredcites →https://doi.org/10.1109/icpc.2013.6613830openalex-snapshot
Automatic generation of natural language summaries for Java classes
inferredcites →https://doi.org/10.1109/icpc.2013.6613836openalex-snapshot
Quality analysis of source code comments
inferredcites →https://doi.org/10.1109/icpc.2013.6613841openalex-snapshot
Structural information based term weighting in text retrieval for feature location
inferredcites →https://doi.org/10.1109/icpc.2013.6613855openalex-snapshot
JSummarizer: An automatic generator of natural language summaries for Java classes
inferredcites →https://doi.org/10.1109/icpc.2017.18openalex-snapshot
Meaningful Identifier Names: The Case of Single-Letter Variables
inferredcites →https://doi.org/10.1109/icpc.2017.39openalex-snapshot
Syntax, Predicates, Idioms - What Really Affects Code Complexity?
inferredcites →https://doi.org/10.1109/icse-companion.2009.5070980openalex-snapshot
The comment density of open source software code
inferredcites →https://doi.org/10.1109/icse.2013.6606725openalex-snapshot
Fostering software quality assessment
inferredcites →https://doi.org/10.1109/icse.2015.60openalex-snapshot
Learning to Log: Helping Developers Make Informed Logging Decisions
inferredcites →https://doi.org/10.1109/icse.2015.83openalex-snapshot
Why Good Developers Write Bad Code: An Observational Case Study of the Impacts of Organizational Factors on Software Quality
inferredcites →https://doi.org/10.1109/icse.2017.45openalex-snapshot
Precise Condition Synthesis for Program Repair
inferredcites →https://doi.org/10.1109/icsm.1992.242525openalex-snapshot
Metrics for assessing a software system's maintainability
inferredcites →https://doi.org/10.1109/icsm.1996.564992openalex-snapshot
Maintainability as a key factor in maintenance productivity: a case study
inferredcites →https://doi.org/10.1109/icsm.2001.972741openalex-snapshot
Does the modern code inspection have value?
inferredcites →https://doi.org/10.1109/icsm.2007.4362639openalex-snapshot
How Programmers can Turn Comments into Waypoints for Code Navigation
inferredcites →https://doi.org/10.1109/icsm.2008.4658065openalex-snapshot
Understanding the rationale for updating a function’s comment
inferredcites →https://doi.org/10.1109/icsm.2015.7332491openalex-snapshot
Is this code written in English? A study of the natural language of comments and identifiers in practice
inferredcites →https://doi.org/10.1109/icst.2012.106openalex-snapshot
@tComment: Testing Javadoc Comments to Detect Comment-Code Inconsistencies
inferredcites →https://doi.org/10.1109/msr.2017.17openalex-snapshot
Predicting Usefulness of Code Review Comments Using Textual Features and Developer Experience
inferredcites →https://doi.org/10.1109/msr.2017.63openalex-snapshot
Classifying Code Comments in Java Open-Source Software Systems
inferredcites →https://doi.org/10.1109/saner.2015.7081848openalex-snapshot
CloCom: Mining existing source code for automatic comment generation
inferredcites →https://doi.org/10.1109/wcre.2007.21openalex-snapshot
Do Code and Comments Co-Evolve? On the Relation between Source Code and Comment Changes
inferredcites →https://doi.org/10.1109/wcre.2010.13openalex-snapshot
On the Use of Automated Text Summarization Techniques for Summarizing Source Code
inferredcites →https://doi.org/10.1145/1137983.1138030openalex-snapshot
Examining the evolution of code comments in PostgreSQL
inferredcites →https://doi.org/10.1145/1639950.1640047openalex-snapshot
The commenting practice of open source
inferredcites →https://doi.org/10.1145/1656274.1656278openalex-snapshot
The WEKA data mining software
inferredcites →https://doi.org/10.1145/1858996.1859006openalex-snapshot
Towards automatically generating summary comments for Java methods
inferredcites →https://doi.org/10.1145/1882291.1882316openalex-snapshot
Leveraging usage similarity for effective retrieval of examples in code repositories
inferredcites →https://doi.org/10.1145/1985441.1985482openalex-snapshot
Do comments explain codes adequately?
inferredcites →https://doi.org/10.1145/1985793.1985796openalex-snapshot
aComment
inferredcites →https://doi.org/10.1145/1985793.1985859openalex-snapshot
Dealing with noise in defect prediction
inferredcites →https://doi.org/10.1145/2025113.2025197openalex-snapshot
Cross-library API recommendation using web search engines
inferredcites →https://doi.org/10.1145/2601248.2601251openalex-snapshot
Dealing with identifiers and comments in source code comprehension and maintenance
inferredcites →https://doi.org/10.1145/3183440.3194960openalex-snapshot
Guiding developers to make informative commenting decisions in source code
inferredcites →https://doi.org/10.1145/3196321.3196334openalex-snapshot
Deep code comment generation
inferredcites →https://doi.org/10.1609/aaai.v30i1.10139openalex-snapshot
Convolutional Neural Networks over Tree Structures for Programming Language Processing
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.18653/v1/p16-1195openalex-snapshot
Summarizing Source Code using a Neural Attention Model
inferredcites →https://doi.org/10.24963/ijcai.2018/314openalex-snapshot
Summarizing Source Code with Transferred API Knowledge

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4650661openalex-extracted
Beyond Code: Is There a Difference between Comments in Visual and Textual Languages?
inferred← citeshttps://doi.org/10.1002/smr.2718openalex-snapshot
Are your comments outdated? Toward automatically detecting code‐comment consistency
inferred← citeshttps://doi.org/10.1002/spe.3192openalex-snapshot
What makes a readable code? A causal analysis method
inferred← citeshttps://doi.org/10.1007/978-981-15-9213-3_32openalex-snapshot
How Similar Are Smart Contracts on the Ethereum?
inferred← citeshttps://doi.org/10.1007/s11390-020-0496-0openalex-snapshot
Learning Human-Written Commit Messages to Document Code Changes
inferred← citeshttps://doi.org/10.1007/s11432-024-4637-2openalex-snapshot
CupCleaner: a hybrid data cleaning approach for comment updating
inferred← citeshttps://doi.org/10.1007/s12599-024-00919-xopenalex-snapshot
How an Agile Software Process Increases Developers’ Job Satisfaction: A Stress Perspective Based on the Effort-Reward-Imbalance Model
inferred← citeshttps://doi.org/10.1016/j.infsof.2020.106373openalex-snapshot
Towards automatically generating block comments for code snippets
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108298openalex-snapshot
Popularity, maintenance burden, and ownership structure in highly starred GitHub repositories: Evidence across software and AI/ML-related domains
inferred← citeshttps://doi.org/10.1016/j.jss.2020.110754openalex-snapshot
CommtPst: Deep learning source code for commenting positions prediction
inferred← citeshttps://doi.org/10.1016/j.jss.2024.112087openalex-snapshot
Beyond code: Is there a difference between comments in visual and textual languages?
inferred← citeshttps://doi.org/10.1016/j.jss.2024.112329openalex-snapshot
Understanding comment practices in Scratch: A study of comments in a block-based visual programming language
inferred← citeshttps://doi.org/10.1016/j.scico.2023.102933openalex-snapshot
SSDTutor: A feedback-driven intelligent tutoring system for secure software development
inferred← citeshttps://doi.org/10.1109/confluence52989.2022.9734222openalex-snapshot
Nirjas: An open source framework for extracting metadata from the source code
inferred← citeshttps://doi.org/10.1109/scam63643.2024.00013openalex-snapshot
AUTOGENICS: Automated Generation of Context-Aware Inline Comments for Code Snippets on Programming Q&A Sites Using LLM
inferred← citeshttps://doi.org/10.1109/tse.2020.3021902openalex-snapshot
Code Review Knowledge Perception: Fusing Multi-Features for Salient-Class Location
inferred← citeshttps://doi.org/10.1109/tse.2024.3523713openalex-snapshot
Towards Improving the Performance of Comment Generation Models by Using Bytecode Information
inferred← citeshttps://doi.org/10.1145/3519312openalex-snapshot
A Review on Source Code Documentation
inferred← citeshttps://doi.org/10.1145/3540250.3549145openalex-snapshot
Are we building on the rock? on the importance of data preprocessing for code summarization
inferred← citeshttps://doi.org/10.1145/3546949openalex-snapshot
Suboptimal Comments in Java Projects: From Independent Comment Changes to Commenting Practices
inferred← citeshttps://doi.org/10.1145/3611664openalex-snapshot
Snippet Comment Generation Based on Code Context Expansion
inferred← citeshttps://doi.org/10.1145/3708474openalex-snapshot
TG-CUP: A Transformer and GNN-Based Multi-Modal Comment Updating Method
inferred← citeshttps://doi.org/10.1145/3750039openalex-snapshot
Commit Messages Generation Based on Core Changes
inferred← citeshttps://doi.org/10.1145/3772717openalex-snapshot
ByteCue: Enhancing Bytecode Comment Generation with API Information
inferred← citeshttps://doi.org/10.52202/068431-0270openalex-snapshot
Communicating Natural Programs to Humans and Machines
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