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Related papers: Technical Debt Management in OSS Projects: An Empi…

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Self-admitted technical debt (SATD) impairs scientific software (SSW), yet its prioritization, sentiment, persistence, and propagation remains underexplored. Understanding how SSW developers express, and address SATD is crucial for…

Software Engineering · Computer Science 2026-03-18 Eric L. Melin , Nasir U. Eisty , Gregory R. Watson , Addi Malviya-Thakur

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…

Software Engineering · Computer Science 2025-11-24 Eric L. Melin , Nasir U. Eisty

Self-admitted technical debt (SATD) refers to a form of technical debt in which developers explicitly acknowledge and document the existence of technical shortcuts, workarounds, or temporary solutions within the codebase. Over recent years,…

Software Engineering · Computer Science 2024-09-19 Edi Sutoyo , Andrea Capiluppi

Upon evolving their software, organizations and individual developers have to spend a substantial effort to pay back technical debt, i.e., the fact that software is released in a shape not as good as it should be, e.g., in terms of…

Software Engineering · Computer Science 2023-08-21 Antonio Mastropaolo , Massimiliano Di Penta , Gabriele Bavota

Context: Previous research on software aging is limited with focus on dynamic runtime indicators like memory and performance, often neglecting evolutionary indicators like source code comments and narrowly examining legacy issues within the…

Software Engineering · Computer Science 2025-04-25 Murali Sridharan , Mika Mäntylä , Leevi Rantala

The adoption of Machine and Deep Learning (ML/DL) technologies introduces maintenance challenges, leading to Technical Debt (TD). Algorithm Debt (AD) is a TD type that impacts the performance and scalability of ML/DL systems. A review of 42…

Software Engineering · Computer Science 2026-04-09 Emmanuel Iko-Ojo Simon , Chirath Hettiarachchi , Fatemeh Fard , Alex Potanin , Hanna Suominen

Technical debt has become a well-known metaphor among software professionals, illustrating how shortcuts taken during development can accumulate and become a burden for software projects. In the traditional notion of technical debt,…

Software Engineering · Computer Science 2024-01-30 Sebastian Baltes , Veronika Dashuber

Background: Test-Driven Development (TDD) is an agile software development practice, which is claimed to boost both external quality of software products and developers' productivity. Aims: We want to study (i) the TDD effects on the…

Context: GitHub hosts an impressive number of high-quality OSS projects. However, selecting "the right tool for the job" is a challenging task, because we do not have precise information about those high-quality projects. Objective: In this…

Software Engineering · Computer Science 2020-03-11 Jailton Coelho , Marco Tulio Valente , Luciano Milen , Luciana L. Silva

Technical debt is a metaphor that describes the long term effects of shortcuts taken in software development activities to achieve near term goals. In this study, we explore a new context of technical debt that relates to database…

Software Engineering · Computer Science 2018-01-26 Mashel Albarak , Muna Alrazgan , Rami Bahsoon

Research software (also called scientific software) is essential for advancing scientific endeavours. Research software encapsulates complex algorithms and domain-specific knowledge and is a fundamental component of all science. A pervasive…

Software Engineering · Computer Science 2026-03-24 Neil A. Ernst , Ahmed Musa Awon , Swapnil Hingmire , Ze Shi Li

As large language models (LLMs) such as ChatGPT, Copilot, Claude, and Gemini become integrated into software development workflows, developers increasingly leave traces of AI involvement in their code comments. Among these, some comments…

Software Engineering · Computer Science 2026-01-13 Abdullah Al Mujahid , Mia Mohammad Imran

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…

Software Engineering · Computer Science 2023-08-28 Yikun Li , Mohamed Soliman , Paris Avgeriou , Maarten van Ittersum

In the software development industry, technical debt is regarded as a critical issue in term of the negative consequences such as increased software development cost, low product quality, decreased maintainability, and slowed progress to…

Software Engineering · Computer Science 2021-06-17 Simon Hacks , Hendrik Höfert , Johannes Salentin , Yoon Chow Yeong , Horst Lichter

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…

Software Engineering · Computer Science 2025-01-03 Nathan Cassee , Neil Ernst , Nicole Novielli , Alexander Serebrenik

While technical debt grows in absolute numbers as software systems evolve over time, the density of technical debt (technical debt divided by lines of code) is reduced in some cases. This can be explained by either the application of…

Software Engineering · Computer Science 2020-10-20 George Digkas , Alexander Chatzigeorgiou , Apostolos Ampatzoglou , Paris Avgeriou

Context: Software start-ups are young companies aiming to build and market software-intensive products fast with little resources. Aiming to accelerate time-to-market, start-ups often opt for ad-hoc engineering practices, make shortcuts in…

Technical debt refers to suboptimal code that degrades software quality. When developers intentionally introduce such debt, it is called self-admitted technical debt (SATD). Since SATD hinders maintenance, identifying its categories is key…

Software Engineering · Computer Science 2025-10-24 Sota Nakashima , Yuta Ishimoto , Masanari Kondo , Tao Xiao , Yasutaka Kamei

In this paper, we investigate the effect of TDD, as compared to a non-TDD approach, as well as its retainment (or retention) over a time span of (about) six months. To pursue these objectives, we conducted a (quantitative) longitudinal…

Software Engineering · Computer Science 2021-05-12 Maria Teresa Baldassarre , Danilo Caivano , Davide Fucci , Natalia Juristo , Simone Romano , Giuseppe Scanniello , BurakTurhan

The long lifetime and the evolving nature of industrial products make them subject to technical debt at different levels. Despite multiple years of research on technical debt management, our industrial experience shows that introducing…

Software Engineering · Computer Science 2021-04-19 Somayeh Malakuti , Jens Heuschkel
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