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相关论文: Towards Automatically Addressing Self-Admitted Tec…

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Keeping track of and managing Self-Admitted Technical Debts (SATDs) are important to maintaining a healthy software project. This requires much time and effort from human experts to identify the SATDs manually. The current automated…

软件工程 · 计算机科学 2020-10-20 Zhe Yu , Fahmid Morshed Fahid , Huy Tu , Tim Menzies

Technical debt describes situations where developers write less-than-optimal code to meet project milestones. However, this debt accumulation often results in future developer effort to live with or fix these quality issues. To better…

软件工程 · 计算机科学 2023-03-07 Gregory Wilder , Riley Miyamoto , Samuel Watson , Rick Kazman , Anthony Peruma

Self-Admitted Technical Debt (SATD) refers to technical compromises explicitly admitted by developers in natural language artifacts such as code comments, commit messages, and issue trackers. Among its types, Architecture Technical Debt…

软件工程 · 计算机科学 2026-03-04 Edi Sutoyo , Paris Avgeriou , Andrea Capiluppi

Self-Admitted Technical Debt (SATD) is a form of Technical Debt where developers document the debt using source code comments (SATD-C) or issues (SATD-I). However, it is still unclear the circumstances that drive developers to choose one or…

软件工程 · 计算机科学 2024-08-28 Laerte Xavier , João Eduardo Montandon , Marco Tulio Valente

Technical debt (TD) describes the additional costs that emerge when developers have opted for a quick and easy solution to a problem, rather than a more effective and well-designed, but time-consuming approach. Self-Admitted Technical Debts…

软件工程 · 计算机科学 2025-08-12 Nam Le Hai , Anh M. T. Bui , Phuong T. Nguyen , Davide Di Ruscio , Rick Kazman

Self-Admitted Technical Debt (SATD) encompasses a wide array of sub-optimal design and implementation choices reported in software artefacts (e.g., code comments and commit messages) by developers themselves. Such reports have been central…

Self-Admitted Technical Debt (SATD), a concept highlighting sub-optimal choices in software development documented in code comments or other project resources, poses challenges in the maintainability and evolution of software systems. Large…

软件工程 · 计算机科学 2024-05-14 Mohammad Sadegh Sheikhaei , Yuan Tian , Shaowei Wang , Bowen Xu

Self-Admitted Technical Debt, or SATD, is a self-admission of technical debt present in a software system. To effectively manage SATD, developers need to estimate its priority and assess the effort required to fix the described technical…

软件工程 · 计算机科学 2025-01-03 Nathan Cassee , Neil Ernst , Nicole Novielli , Alexander Serebrenik

Self-Admitted Technical Debt (SATD) is a special form of technical debt in which developers intentionally record their hacks in the code by adding comments for attention. Here, we focus on issue-related "On-hold SATD", where developers…

Self-Admitted Technical Debt (SATD) is a metaphorical concept to describe the self-documented addition of technical debt to a software project in the form of source code comments. SATD can linger in projects and degrade source-code quality,…

The impact of Technical Debt (TD) on software maintenance and evolution is of great concern, but recent evidence shows that a considerable amount of TD is fixed by the same developers who introduced it; this is termed self-fixed TD. This…

软件工程 · 计算机科学 2021-06-23 Jie Tan , Daniel Feitosa , Paris Avgeriou

Context: Technical Debt (TD) can be paid back either by those that incurred it or by others. We call the former self-fixed TD, and it can be particularly effective, as developers are experts in their own code and are well-suited to fix the…

软件工程 · 计算机科学 2021-10-13 Jie Tan , Daniel Feitosa , Paris Avgeriou

Technical Debt (TD) refers to the situation where developers make trade-offs to achieve short-term goals at the expense of long-term code quality, which can have a negative impact on the quality of software systems. In the context of code…

软件工程 · 计算机科学 2022-09-27 Liming Fu , Peng Liang , Zeeshan Rasheed , Zengyang Li , Amjed Tahir , Xiaofeng Han

In software engineering, technical debt, signifying the compromise between short-term expediency and long-term maintainability, is being addressed by researchers through various machine learning approaches. This study seeks to provide a…

软件工程 · 计算机科学 2025-11-24 Eric L. Melin , Nasir U. Eisty

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…

软件工程 · 计算机科学 2019-10-22 Rungroj Maipradit , Christoph Treude , Hideaki Hata , Kenichi Matsumoto

Multi-task learning is a paradigm that leverages information from related tasks to improve the performance of machine learning. Self-Admitted Technical Debt (SATD) are comments in the code that indicate not-quite-right code introduced for…

软件工程 · 计算机科学 2025-07-03 Barbara Russo , Jorge Melegati , Moritz Mock

Technical debt (TD) is a metaphor for code-related problems that arise as a result of prioritizing speedy delivery over perfect code. Given that the reduction of TDs can have long-term positive impact in the software engineering life-cycle…

软件工程 · 计算机科学 2022-01-13 Junaed Younus Khan , Gias Uddin

Technical debt, specifically Self-Admitted Technical Debt (SATD), remains a significant challenge for software developers and managers due to its potential to adversely affect long-term software maintainability. Although various approaches…

软件工程 · 计算机科学 2023-08-28 Yikun Li , Mohamed Soliman , Paris Avgeriou , Maarten van Ittersum

Speeding up development may produce technical debt, i.e., not-quite-right code for which the effort to make it right increases with time as a sort of interest. Developers may be aware of the debt as they admit it in their code comments.…

软件工程 · 计算机科学 2022-05-05 Barbara Russo , Matteo Camilli , Moritz Mock

NonTechnical Debt (NTD) is a common challenge in agile software development, manifesting in four critical forms, Process Debt, Social Debt, People Debt, Organizational debt. NODLA project is a collaboration between Karlstad University and…

软件工程 · 计算机科学 2025-09-03 Muhammad Ovais Ahmad , Tomas Gustavsson