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Software engineering is extremely information-intensive. Every day developers work with source code, version repositories, issue trackers, documentation, web-based and other information resources. However, three key aspects of information…

Software Engineering · Computer Science 2016-07-18 Dimitar Asenov , Peter Müller , Lukas Vogel

Software libraries for most of the modern programming languages are numerous, large and complex. Remembering the syntax and usage of APIs is a difficult task for not just novices but also expert programmers. IDEs (Integrated Development…

Human-Computer Interaction · Computer Science 2014-09-24 Anant Bhardwaj , Dave Luciano , Scott Klemmer

Comprehending the performance bottlenecks at the core of the intricate hardware-software interactions exhibited by highly parallel programs on HPC clusters is crucial. This paper sheds light on the issue of automatically asynchronous MPI…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-06 Ayesha Afzal , Georg Hager , Stefano Markidis , Gerhard Wellein

As Integrated Development Environments (IDEs) increasingly integrate Artificial Intelligence, Software Engineering faces both benefits like productivity gains and challenges like mismatched user preferences. We propose Hyper-Dimensional…

Software Engineering · Computer Science 2025-01-07 Roham Koohestani , Maliheh Izadi

Event-driven programming is widely used for implementing user interfaces, web applications, and non-blocking I/O. An event-driven program is organized as a collection of event handlers whose execution is triggered by events. Traditional…

Programming Languages · Computer Science 2019-10-30 Ming-Ho Yee , Ayaz Badouraly , Ondřej Lhoták , Frank Tip , Jan Vitek

The current software development tools show the same form of interaction as when they started back, in the mid 70's. However, since the appearance of visual languages and due to their own nature, they can be handled by tools which have…

Human-Computer Interaction · Computer Science 2012-05-04 Carlos Alberto Fernandez-y-Fernandez , Jose Angel Quintanar

Exploratory testing, known for its flexibility and ability to uncover unexpected issues, often faces challenges in maintaining systematic coverage and producing reproducible results. To address these challenges, we investigate whether…

Software Engineering · Computer Science 2024-08-12 Philipp Straubinger , Gordon Fraser

Integrated development environments (IDEs) are prevalent code-writing and debugging tools. However, they have yet to be widely adopted for launching machine learning (ML) experiments. This work aims to fill this gap by introducing JetTrain,…

Software Engineering · Computer Science 2024-02-19 Artem Trofimov , Mikhail Kostyukov , Sergei Ugdyzhekov , Natalia Ponomareva , Igor Naumov , Maksim Melekhovets

Real-time hybrid testing is a method in which a substructure of the system is realised experimentally and the rest numerically. The two parts interact in real time to emulate the dynamics of the full system. Such experiments however are…

Dynamical Systems · Mathematics 2024-06-04 Sandor Beregi , David A. W. Barton , Djamel Rezgui , Simon A. Neild

Background: User interface (UI) testing, which is used to verify the behavior of interactive elements in applications, plays an important role in software development and quality assurance. However, little is known about the adoption of UI…

Software Engineering · Computer Science 2025-04-29 Xiaoxiao Gan , Chris Brown

Test-time skill evolving is regarded as a new paradigm for enhancing deployed agentic systems. Existing works mainly focus on hard-coded skill evolving strategies or parametric learning that rely on expensive parameter updates in the…

Artificial Intelligence · Computer Science 2026-05-28 Xujun Li , Kehan Zheng , Mingyuan Zhao , Yize Geng , Jinfeng Zhou , Qi Zhu , Fei Mi , Lifeng Shang , Minlie Huang , Hongning Wang

DevOps can be best explained as people working together to conceive, build and deliver secure software at top speed. DevOps practices enable software development (dev) and operations (ops) teams to accelerate delivery through automation,…

Computers and Society · Computer Science 2025-01-22 Ganesh Neelakanta Iyer , Andrew Goh Yisheng , Metilda Chee Heng Er , Weng Xian Choong , Shao Wei Koh

Context: Software development tools should work and behave consistently across different programming languages, so that developers do not have to familiarize themselves with new tooling for new languages. Also, being able to combine…

Programming Languages · Computer Science 2018-03-28 Fabio Niephaus , Tim Felgentreff , Tobias Pape , Robert Hirschfeld , Marcel Taeumel

Interactive high-performance computing is doubtlessly beneficial for many computational science and engineering applications whenever simulation results should be visually processed in real time, i.e. during the computation process.…

Computational Engineering, Finance, and Science · Computer Science 2018-07-03 Ralf-Peter Mundani , Jérôme Frisch , Vasco Varduhn , Ernst Rank

The process of engineering and deploying applications in the edge/embedded space is massively complicated by the non-homogeneous nature of the software stack and the complexity of diagnostics & debugging. Often different languages and…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-15 Anthony Arnold , Mark Marron

This article introduces a model-driven engineering (MDE) integrated development environment (IDE) for Data-Intensive Cloud Applications (DIA) with iterative quality enhancements. As part of the H2020 DICE project (ICT-9-2014, id 644869), a…

Software Engineering · Computer Science 2017-09-20 Marc Gil , Christophe Joubert , Ismael Torres

With the development of artificial intelligence, writing assistants (WAs) are changing the way people interact with text, creating lengthy outputs that can be overwhelming for users. The programming field has long addressed this issue, and…

Software Engineering · Computer Science 2023-03-29 Sergey Titov , Agnia Sergeyuk , Timofey Bryksin

Developing software to effectively take advantage of growth in parallel and distributed processing capacity poses significant challenges. Traditional programming techniques allow a user to assume that execution, message passing, and memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-24 Matthew Andres Moreno , Santiago Rodriguez Papa , Charles Ofria

Context. Software development pipelines are used for automating essential parts of software engineering processes, such as build automation and continuous integration testing. In particular, interactive pipelines, which process events in a…

Programming Languages · Computer Science 2018-04-20 Gabriël Konat , Michael J. Steindorfer , Sebastian Erdweg , Eelco Visser

The current bulk materials discovery cycle has several inefficiencies from initial computational predictions through fabrication and analyses. Materials are generally evaluated in a singular fashion, relying largely on human-driven…

Materials Science · Physics 2021-02-12 Olivia F. Dippo , Kevin R. Kaufmann , Kenneth S. Vecchio