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相关论文: Can Clean New Code reduce Technical Debt Density?

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Context: Scientific open-source software (SciOSS) plays a foundational role in research and engineering, yet its long-term sustainability has often been overlooked and remains a significant concern. Objective: This study investigates the…

软件工程 · 计算机科学 2026-05-06 Sheikh Md. Mushfiqur Rahman , Gregory R. Watson , Nasir U. Eisty

In the era of revolution, the development of softwares are increasing daily. The quality of software impacts the most in software development. To ensure the quality of the software it needs to be reviewed and updated. The effectiveness of…

软件工程 · 计算机科学 2021-07-23 Shaykh Siddique

Refactoring aims at improving code non-functional attributes without modifying its external behavior. Previous studies investigated the motivations behind refactoring by surveying developers. With the aim of generalizing and complementing…

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

The explosion of the amount of data stored in cloud systems calls for more efficient paradigms for redundancy. While replication is widely used to ensure data availability, erasure correcting codes provide a much better trade-off between…

分布式、并行与集群计算 · 计算机科学 2017-03-16 Steve Jiekak , Anne-Marie Kermarrec , Nicolas Le Scouarnec , Gilles Straub , Alexandre Van Kempen

Modern code review is a widely used technique employed in both industrial and open-source projects to improve software quality, share knowledge, and ensure adherence to coding standards and guidelines. During code review, developers may…

软件工程 · 计算机科学 2022-03-29 Eman Abdullah AlOmar , Moataz Chouchen , Mohamed Wiem Mkaouer , Ali Ouni

As Deep learning (DL) systems continuously evolve and grow, assuring their quality becomes an important yet challenging task. Compared to non-DL systems, DL systems have more complex team compositions and heavier data dependency. These…

Academic software development practices often differ from those of commercial development settings, yet only limited research has been conducted on assessing software development practises in academia. Here we present a case study of…

软件工程 · 计算机科学 2015-06-18 Derek Groen , Xiaohu Guo , James A. Grogan , Ulf D. Schiller , James M. Osborne

Developing software with the source code open to the public is prevalent; however, similar to its closed counter part, open-source has quality problems, which cause functional failures, such as program breakdowns, and non-functional, such…

软件工程 · 计算机科学 2025-03-05 Jincheng He , Zhongheng He

Self-admitted technical debt (SATD), referring to comments flagged by developers that explicitly acknowledge suboptimal code or incomplete functionality, has received extensive attention in machine learning (ML) and traditional (Non-ML)…

软件工程 · 计算机科学 2026-01-21 Niruthiha Selvanayagam , Taher A. Ghaleb , Manel Abdellatif

Self-Admitted Technical Debt (SATD) annotates development decisions that intentionally exchange long-term software artifact quality for short-term goals. Recent work explores the existence of SATD clones (duplicate or near duplicate SATD…

软件工程 · 计算机科学 2024-02-15 Tao Xiao , Zhili Zeng , Dong Wang , Hideaki Hata , Shane McIntosh , Kenichi Matsumoto

Large language models trained on source code can support a variety of software development tasks, such as code recommendation and program repair. Large amounts of data for training such models benefit the models' performance. However, the…

软件工程 · 计算机科学 2023-07-06 Max Hort , Anastasiia Grishina , Leon Moonen

Reviewing source code from a security perspective has proven to be a difficult task. Indeed, previous research has shown that developers often miss even popular and easy-to-detect vulnerabilities during code review. Initial evidence…

软件工程 · 计算机科学 2022-02-15 Larissa Braz , Christian Aeberhard , Gül Çalikli , Alberto Bacchelli

Nearly all modern software suffers from bloat that negatively impacts its performance and security. To combat this problem, several automated techniques have been proposed to debloat software. A key metric used in many of these works to…

密码学与安全 · 计算机科学 2020-01-17 Michael D. Brown , Santosh Pande

The rapid adoption of Deep Learning (DL)-enabled systems has revolutionized software development, driving innovation across various domains. However, these systems also introduce unique challenges, particularly in maintaining software…

软件工程 · 计算机科学 2025-10-07 Gilberto Recupito , Vincenzo De Martino , Dario Di Nucci , Fabio Palomba

As modern software extensively uses free open source packages as dependencies, developers have to regularly pull in new third-party code through frequent updates. However, without a proper review of every incoming change, vulnerable and…

软件工程 · 计算机科学 2022-11-08 Nasif Imtiaz , Laurie Williams

Context. Technical Debt (TD), defined as software constructs that are beneficial in the short term but may hinder future change, is a frequently used term in software development practice. Nevertheless, practitioners do not always fully…

Fault-proneness is a measure that indicates the possibility of programming errors occurring within a software system. On the other hand, change-proneness refers to the potential for modifications to be made to the software. Both of these…

软件工程 · 计算机科学 2025-07-17 Md. Masudur Rahman , Toukir Ahammed , Kazi Sakib

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…

Code review that detects and locates defects and other quality issues plays an important role in software quality control. One type of issue that may impact the quality of software is code smells. Yet, little is known about the extent to…

软件工程 · 计算机科学 2022-05-17 Xiaofeng Han , Amjed Tahir , Peng Liang , Steve Counsell , Kelly Blincoe , Bing Li , Yajing Luo
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