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Static bug detection tools help developers detect problems in the code, including bad programming practices and potential defects. Recent efforts to integrate static bug detectors in modern software development workflows, such as in code…

Software Engineering · Computer Science 2024-01-24 Junjie Li , Jinqiu Yang

Background: Studies on developer productivity and well-being find that the perceptions of productivity in a software team can be a socio-technical problem. Intuitively, problems and challenges can be better handled by managing expectations…

Software Engineering · Computer Science 2021-07-21 Khalid Hasan , Partho Chakraborty , Rifat Shahriyar , Anindya Iqbal , Gias Uddin

Software maintenance and evolution involves critical activities for the success of software projects. To support such activities and keep code up-to-date and error-free, software communities make use of issue trackers, i.e., tools for…

Software Engineering · Computer Science 2021-07-22 Rafael Kallis , Andrea Di Sorbo , Gerardo Canfora , Sebastiano Panichella

At our behest or otherwise, while our software is being executed, a huge variety of design assumptions is continuously matched with the truth of the current condition. While standards and tools exist to express and verify some of these…

Software Engineering · Computer Science 2016-05-09 Vincenzo De Florio

Self-adaptivity allows software systems to autonomously adjust their behavior during run-time to reduce the cost complexities caused by manual maintenance. In this paper, an approach for building an external adaptation engine for…

Software Engineering · Computer Science 2014-02-12 Mohammed Abufouda

Cognitive biases exert a significant influence on human thinking and decision-making. In order to identify how they influence the occurrence of architectural technical debt, a series of semi-structured interviews with software architects…

Software Engineering · Computer Science 2023-09-26 Klara Borowa , Andrzej Zalewski , Szymon Kijas

The ever-increasing amount, variety as well as generation and processing speed of today's data pose a variety of new challenges for developing Data-Intensive Software Systems (DISS). As with developing other kinds of software systems,…

Software Engineering · Computer Science 2019-06-03 Harald Foidl , Michael Felderer , Stefan Biffl

TODO comments are very widely used by software developers to describe their pending tasks during software development. However, after performing the task developers sometimes neglect or simply forget to remove the TODO comment, resulting in…

Software Engineering · Computer Science 2021-08-13 Zhipeng Gao , Xin Xia , David Lo , John Grundy , Thomas Zimmermann

Automated builds are integral to the Continuous Integration (CI) software development practice. In CI, developers are encouraged to integrate early and often. However, long build times can be an issue when integrations are frequent. This…

Software Engineering · Computer Science 2017-12-20 Ekaba Bisong , Eric Tran , Olga Baysal

Software documentation is an essential but labor intensive task that often requires a dedicated team of developers to ensure coverage and accuracy. Good documentation will help shorten the development cycle and improve the overall team…

Software Engineering · Computer Science 2017-01-31 Thomas Zheng , Jeff Shaw , Sergey Kozlov

Recognizing that technical debt is a persistent and significant challenge requiring sophisticated management tools, TD-Suite offers a comprehensive software framework specifically engineered to automate the complex task of its…

Software Engineering · Computer Science 2025-04-16 Karthik Shivashankar , Antonio Martini

Context: Technical debt management is challenging for software engineers due to poor tool support and a lack of knowledge on how to prioritize technical debt repayment and prevention activities. Furthermore, when there is a large backlog of…

Software Engineering · Computer Science 2018-02-09 Matthieu Foucault , Xavier Blanc , Margaret-Anne Storey , Jean-Rémy Falleri , Cédric Teyton

Agentic AI systems combine probabilistic reasoning with delegated action through tools, context, memory, orchestration, and external workflow integration. This note develops a formal and managerially usable model that distinguishes Agentic…

Artificial Intelligence · Computer Science 2026-05-27 Muhammad Zia Hydari , Raja Iqbal , Narayan Ramasubbu

Software development is a very broad activity that captures the entire life cycle of a software, which includes designing, programming, maintenance and so on. In this study, we focus on the maintenance-related concerns of the…

Software Engineering · Computer Science 2021-08-18 Jiachi Chen , Xin Xia , David Lo , John Grundy , Xiaohu Yang

Context: Human-centric defects (HCDs) are nuanced and subjective defects that often occur due to end-user perceptions or differences, such as their genders, ages, cultures, languages, disabilities, socioeconomic status, and educational…

Software Engineering · Computer Science 2024-08-06 Vedant Chauhan , Chetan Arora , Hourieh Khalajzadeh , John Grundy

Software development tasks must be performed successfully to achieve software quality and customer satisfaction. Knowing whether software tasks are likely to fail is essential to ensure the success of software projects. Issue Tracking…

Software Engineering · Computer Science 2020-06-03 Sandra L. Ramírez-Mora , Hanna Oktaba , Helena Gómez-Adorno

One of the main challenges that developers face when testing their systems lies in engineering test cases that are good enough to reveal bugs. And while our body of knowledge on software testing and automated test case generation is already…

Software Engineering · Computer Science 2021-11-09 Maurício Aniche , Christoph Treude , Andy Zaidman

Commit is an important operation of revision control for open-source software (OSS). Recent research has been pursued to explore the statistical laws of such an operation, but few of those papers conduct empirical investigations on commit…

Software Engineering · Computer Science 2013-11-26 Yutao Ma , Yang Wu , Youwei Xu

Customers of machine learning systems demand accountability from the companies employing these algorithms for various prediction tasks. Accountability requires understanding of system limit and condition of erroneous predictions, as…

Machine Learning · Computer Science 2021-05-12 Amita Misra , Zhe Liu , Jalal Mahmud

Many dependability techniques expect certain behaviors from the underlying subsystems and fail in chaotic ways if these expectations are not met. Under expected circumstances, however, software tends to work quite well. This paper suggests…

Operating Systems · Computer Science 2007-05-23 George Candea
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