Dataset for Keyword|Labeled Self|Admitted Technical Debt and ...

SATDAUG -- A Balanced and Augmented Dataset for Detecting Self ...

... Dataset for Detecting Self-Admitted Technical Debt. ... Over recent years, researchers have manually labeled datasets derived from various ...

Keyword-labeled self-admitted technical debt and static code ...

Technical debt presents sub-optimal choices made in development, which are beneficial in the short term but not in the long run.

Dataset for Keyword-Labeled Self-Admitted Technical Debt and ...

Dataset for Keyword-Labeled Self-Admitted Technical Debt and Static Code Analysis have Significant Relationship but Limited Overlap.

yikun-li/satd-different-sources-data: Dataset: Self-Admitted Technical ...

Dataset: Self-Admitted Technical Debt in Four Software Artifacts - yikun-li/satd-different-sources-data.

SATDAUG - A Balanced and Augmented Dataset for Detecting Self ...

Self-admitted technical debt (SATD) refers to a form of technical debt in which developers explicitly acknowledge and document the existence ...

maldonado/tse.satd.data - GitHub

The manually labeled dataset of self-admitted technical debt can be found in the dataset folder. Additional information that may be useful for replication ...

Detecting and quantifying different types of self-admitted technical ...

The most common type of self-admitted technical debt is design debt, making up between 42% to 84% of the classified comments. Lastly, we make the classified ...

Automatic identification of self-admitted technical debt from four ...

Subsequently, Maldonado and Shihab (2015) examined code comments in five open-source projects to investigate the different types of SATD. The ...

Who (Self) Admits Technical Debt? - IEEE Xplore

Abstract: Self-Admitted Technical Debt (SATD) are comments, left by developers in the source code or elsewhere, aimed at describing the presence of TD, ...

Identifying Self-Admitted Technical Debt in Issue Tracking Systems ...

... Self-Admitted Technical Debt in Issue ... datasets can improve the predictive performance of our approach; 3) extracted SATD keywords ...

(PDF) Keyword-labeled self-admitted technical debt and static code ...

Consciously admitted debt, which is marked with a keyword, e.g., TODO, is called keyword-labeled self-admitted technical debt (KL-SATD). KL-SATD ...

SATDAUG - A Balanced and Augmented Dataset for Detecting Self ...

Over recent years, researchers have manually labeled datasets derived from various software develop- ment artifacts: source code comments, messages from the ...

[PDF] The Technical Debt Dataset - Semantic Scholar

The Technical debt dataset is proposed, a curated set of project measurement data from 33 Java projects from the Apache Software Foundation that aims to ...

Detecting multi-type self-admitted technical debt with generative ...

Automatically identifying the SATDs to reduce potential harm to software has attracted the attention of researchers. However, existing approaches only ...

SATDAUG - A Balanced and Augmented Dataset for Detecting Self ...

Dive into the research topics of 'SATDAUG - A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt'. Together they form a unique ...

Self-admitted technical debt classification using natural language ...

Self-admitted technical debt classification using natural language processing word embeddings. ... Additionally, a dataset, consisting of 4,071 labeled comments, ...

23 shades of self-admitted technical debt - ACM Digital Library

In software development, the term “technical debt” (TD) is used to characterize short-term solutions and workarounds implemented in source code which may ...

23 Shades of Self-Admitted Technical Debt: An Empirical Study on ...

our labeled dataset which have a Software SATD Type received the Requirement debt label. Requirement debts are concerned with shortcomings involving ...

Self-Admitted Technical Debt in R Packages: An Exploratory Study

The main findings indicate that a large amount of outdated code is left commented, with SATD accounting for about 3% of comments. Code Debt was the most common ...

Detecting and Explaining Self-Admitted Technical Debts with ... - Li Li

In our experiments, we use the dataset provided by [7]. This dataset contains labeled code comments for ten open-source projects, in- cluding ...