Wait for it: Identifying 'on-hold' self-admitted technical debt

Self-admitted technical debt refers to situations where a software developer knows that their current implementation is not optimal and indicates this using a source code comment. In this work, we hypothesize that it is possible to develop automated techniques to understand a subset of these comment...

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Main Authors: MAIPRADIT, Rungroj, TREUDE, Christoph, HATA, Hideaki, MATSUMOTO, Kenichi
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Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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Online Access:https://ink.library.smu.edu.sg/sis_research/8799
https://ink.library.smu.edu.sg/context/sis_research/article/9802/viewcontent/emse20b.pdf
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spelling sg-smu-ink.sis_research-98022024-05-30T07:58:14Z Wait for it: Identifying 'on-hold' self-admitted technical debt MAIPRADIT, Rungroj TREUDE, Christoph HATA, Hideaki MATSUMOTO, Kenichi Self-admitted technical debt refers to situations where a software developer knows that their current implementation is not optimal and indicates this using a source code comment. In this work, we hypothesize that it is possible to develop automated techniques to understand a subset of these comments in more detail, and to propose tool support that can help developers manage self-admitted technical debt more effectively. Based on a qualitative study of 333 comments indicating self-admitted technical debt, we first identify one particular class of debt amenable to automated management: on-hold self-admitted technical debt (on-hold SATD), i.e., debt which contains a condition to indicate that a developer is waiting for a certain event or an updated functionality having been implemented elsewhere. We then design and evaluate an automated classifier which can identify these on-hold instances with an area under the receiver operating characteristic curve (AUC) of 0.98 as well as detect the specific conditions that developers are waiting for. Our work presents a first step towards automated tool support that is able to indicate when certain instances of self-admitted technical debt are ready to be addressed. 2020-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8799 info:doi/10.1007/s10664-020-09854-3 https://ink.library.smu.edu.sg/context/sis_research/article/9802/viewcontent/emse20b.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Self-admitted technical debt Qualitative study Classification Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Self-admitted technical debt
Qualitative study
Classification
Software Engineering
spellingShingle Self-admitted technical debt
Qualitative study
Classification
Software Engineering
MAIPRADIT, Rungroj
TREUDE, Christoph
HATA, Hideaki
MATSUMOTO, Kenichi
Wait for it: Identifying 'on-hold' self-admitted technical debt
description Self-admitted technical debt refers to situations where a software developer knows that their current implementation is not optimal and indicates this using a source code comment. In this work, we hypothesize that it is possible to develop automated techniques to understand a subset of these comments in more detail, and to propose tool support that can help developers manage self-admitted technical debt more effectively. Based on a qualitative study of 333 comments indicating self-admitted technical debt, we first identify one particular class of debt amenable to automated management: on-hold self-admitted technical debt (on-hold SATD), i.e., debt which contains a condition to indicate that a developer is waiting for a certain event or an updated functionality having been implemented elsewhere. We then design and evaluate an automated classifier which can identify these on-hold instances with an area under the receiver operating characteristic curve (AUC) of 0.98 as well as detect the specific conditions that developers are waiting for. Our work presents a first step towards automated tool support that is able to indicate when certain instances of self-admitted technical debt are ready to be addressed.
format text
author MAIPRADIT, Rungroj
TREUDE, Christoph
HATA, Hideaki
MATSUMOTO, Kenichi
author_facet MAIPRADIT, Rungroj
TREUDE, Christoph
HATA, Hideaki
MATSUMOTO, Kenichi
author_sort MAIPRADIT, Rungroj
title Wait for it: Identifying 'on-hold' self-admitted technical debt
title_short Wait for it: Identifying 'on-hold' self-admitted technical debt
title_full Wait for it: Identifying 'on-hold' self-admitted technical debt
title_fullStr Wait for it: Identifying 'on-hold' self-admitted technical debt
title_full_unstemmed Wait for it: Identifying 'on-hold' self-admitted technical debt
title_sort wait for it: identifying 'on-hold' self-admitted technical debt
publisher Institutional Knowledge at Singapore Management University
publishDate 2020
url https://ink.library.smu.edu.sg/sis_research/8799
https://ink.library.smu.edu.sg/context/sis_research/article/9802/viewcontent/emse20b.pdf
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