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A First Look at the Self-Admitted Technical Debt in Test Code: Taxonomy and Detection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Are test smells really harmful? An empirical study
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Identifying self-admitted technical debt in open source projects using text mining
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Wait for it: identifying “On-Hold” self-admitted technical debt
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An empirical study on self-admitted technical debt in Dockerfiles
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Self-Admitted Technical Debt and comments’ polarity: an empirical study
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Revisiting the debate: Are code metrics useful for measuring maintenance effort?
inferredcites →https://doi.org/10.1007/s10664-023-10390-zopenalex-snapshot
Investigating the readability of test code
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Quantifying and characterizing clones of self-admitted technical debt in build systems
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An empirical study on the effectiveness of large language models for SATD identification and classification
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On the ability of complexity metrics to predict fault-prone classes in object-oriented systems
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What’s in a GitHub Star? Understanding Repository Starring Practices in a Social Coding Platform
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On the performance of method-level bug prediction: A negative result
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An empirical study on the co-occurrence between refactoring actions and Self-Admitted Technical Debt removal
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A metrics suite for object oriented design
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Benchmarking Prompt Engineering Techniques for Secure Code Generation with GPT Models
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An empirical study of bugs in test code
inferredcites →https://doi.org/10.1109/icsme.2014.31openalex-snapshot
An Exploratory Study on Self-Admitted Technical Debt
inferredcites →https://doi.org/10.1109/icsme.2017.8openalex-snapshot
An Empirical Study on the Removal of Self-Admitted Technical Debt
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Waiting around or job half-done? Sentiment in self-admitted technical debt
inferredcites →https://doi.org/10.1109/msr66628.2025.00118openalex-snapshot
Evidence is All We Need: Do Self-Admitted Technical Debts Impact Method-Level Maintenance?
inferredcites →https://doi.org/10.1109/saner56733.2023.00110openalex-snapshot
A Comparative Study of Code Clone Genealogies in Test Code and Production Code
inferredcites →https://doi.org/10.1109/saner60148.2024.00087openalex-snapshot
Self-Admitted Technical Debts Identification: How Far Are We?
inferredcites →https://doi.org/10.1109/scam.2019.00031openalex-snapshot
On the Quality of Identifiers in Test Code
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Comparing Test and Production Code Quality in a Large Commercial Multicore System
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The Use of Software Complexity Metrics in Software Maintenance
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Learning a Metric for Code Readability
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Test Code Quality and Its Relation to Issue Handling Performance
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The Role of Method Chains and Comments in Software Readability and Comprehension—An Experiment
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Investigating the impact of design debt on software quality
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A simpler model of software readability
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The promises and perils of mining GitHub
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When, how, and why developers (do not) test in their IDEs
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A large-scale empirical study on self-admitted technical debt
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Was self-admitted technical debt removal a real removal?
inferredcites →https://doi.org/10.1145/3324916openalex-snapshot
Neural Network-based Detection of Self-Admitted Technical Debt
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How Far Have We Progressed in Identifying Self-admitted Technical Debts? A Comprehensive Empirical Study
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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
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Method-level Bug Prediction: Problems and Promises
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Evaluating Source Code Quality with Large Language Models: a comparative study
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Code on Demand: A Comparative Analysis of the Efficiency Understandability and Self-Correction Capability of Copilot ChatGPT and Gemini
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A Coefficient of Agreement for Nominal Scales
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Investigation on Self-Admitted Technical Debt in Open-Source Blockchain Projects
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1145/3794915.3795781openalex-snapshot
Beyond Production Code: A Pull Request–Based Study of Technical Debt in Test Code
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