Results 11 to 20 of about 2,119 (166)

Data Balancing Improves Self-Admitted Technical Debt Detection [PDF]

open access: yes2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR), 2021
11 pages, 1 figure, for ...
Rantala Leevi   +3 more
core   +6 more sources

WeakSATD [PDF]

open access: yesProceedings of the 19th International Conference on Mining Software Repositories, 2022
short ...
Barbara Russo   +2 more
openaire   +3 more sources

Identification and Remediation of Self-Admitted Technical Debt in Issue Trackers [PDF]

open access: yes2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2020
Technical debt refers to taking shortcuts to achieve short-term goals, which might negatively influence software maintenance in the long-term. There is increasing attention on technical debt that is admitted by developers in source code comments (termed as self-admitted technical debt or SATD). But SATD in issue trackers is relatively unexplored.
Yikun Li   +2 more
core   +5 more sources

Automatically Learning Patterns for Self-Admitted Technical Debt Removal [PDF]

open access: yes2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020
Technical Debt (TD) expresses the need for improvements in a software system, e.g., to its source code or architecture. In certain circumstances, developers “self-admit” technical debt (SATD) in their source code comments. Previous studies investigate when SATD is admitted, and what changes developers perform to remove it. Building on these studies, we
Fiorella Zampetti   +2 more
core   +4 more sources

Characterizing and Mitigating Self-Admitted Technical Debt in Build Systems [PDF]

open access: yesIEEE Transactions on Software Engineering, 2022
Technical Debt is a metaphor used to describe the situation in which long-term software artifact quality is traded for short-term goals in software projects. In recent years, the concept of self-admitted technical debt (SATD) was proposed, which focuses on debt that is intentionally introduced and described by developers.
Tao Xiao 0001   +6 more
openaire   +3 more sources

Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD)

open access: yesIEEE Data Descriptions
In software development, technical debt (TD) refers to suboptimal implementation choices made by the developers to meet urgent deadlines and limited resources, posing challenges for future maintenance. Self-Admitted Technical Debt (SATD) is a sub-type of TD, representing specific TD instances ``openly admitted'' by the developers and often expressed ...
Phuoc Pham   +3 more
openaire   +3 more sources

Automated Identification of On-hold Self-admitted Technical Debt [PDF]

open access: yes2020 IEEE 20th International Working Conference on Source Code Analysis and Manipulation (SCAM), 2020
Replication package of "Automated Identification of On-hold Self-admitted Technical Debt"
Rungroj Maipradit   +6 more
openaire   +4 more sources

An empirical study on self-admitted technical debt in Dockerfiles [PDF]

open access: yesEmpirical Software Engineering, 2022
AbstractIn software development, ad hoc solutions that are intentionally implemented by developers are called self-admitted technical debt (SATD). Because the existence of SATD spreads poor implementations, it is necessary to remove it as soon as possible. Meanwhile, container virtualization has been attracting attention in recent years as a technology
Hideaki Azuma   +3 more
openaire   +1 more source

Do we need to pay technical debt in blockchain software systems?

open access: yesConnection Science, 2022
For blockchain software systems, framework developers may introduce technical debts that application developers are not aware of. Because these technical debts can have a negative impact on software projects, we need to investigate the issue of technical
Yubin Qu   +6 more
doaj   +1 more source

Replication Package for Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources

open access: yes, 2023
This dataset includes a trained weight file for identifying the relations between self-admitted technical debt ...
Mohamed Soliman   +2 more
core   +3 more sources

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