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Analysis of Magnetic Field Errors From Coil Displacement for the Material Plasma Exposure Experiment

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IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY 2025年第5期35卷

作者： Burkhardt, Earle E. Duckworth, Robert C. Kaufman, Michael Rapp, Juergen Ferguson, Phillip Keys, Simon Warner, Rory van Oort, Johannes Oak Ridge Natl Lab Oak Ridge TN 37830 USA Tesla Engn Ltd Storrington RH20 3EA England

The magnet system for the Material Plasma Exposure eXperiment (MPEX) provides the necessary field profile to enable RF source and heating along the length to meet the desired key performance parameters (KPPs) at the target area. The magnet system consists of six superconducting magnets and one room-temperature magnet. While each magnet has been designed with mechanical supports to maintain magnetic field alignment due to electromagnetic mechanical loading and cyclic operating modes, the positions of coil windings could drift or shift over each magnet subsystem. The magnetic field requirements for the plasma are that at any on-axis location over the length of the plasma volume, the off-axis axial field shall not vary more than 1% relative to the on-axis field, and the radial field component shall be less than 1% of the on-axis field. Because the diameter of the coils is much larger than the diameter of the plasma, the off-axis axial field requirement is not an issue;however, if the coils are shifted or tilted, the radial field component can exceed the allowable limit. Given that the specific amount of drift varies significantly depending on the global magnetic field strength and complexity of the magnet winding geometry, two analyses were carried out. This paper covers the amount of shift or tilt that the coil windings within each magnet subsystem can tolerate while still meeting the design requirements with respect to magnetic field. The allowable shift of each subsystem varies from 2.6 mm to 29.1 mm, and the tilt varies from 1.7 mm to 32.8 mm.

关键词： Superconducting magnets Coils Magnetic fields Plasmas Windings Magnetic analysis Superconductivity computer aided software engineering Government Superconducting coils Fusion magnets plasma applications super- conducting magnets

Foundational Competencies and Specializations of a Research software Engineer

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Computing in Science and engineering 2025年

作者： Goth, Florian Thiele, Jan Philipp University of Wurzburg Institute for Theoretical Physics 97074 Germany Weierstrass Institute Berlin10117 Germany

The term Research software Engineer (RSE) emerged to represent individuals working in the research community but focusing on software development. It has been widely adopted, and has several high-level definitions. However, their work varies depending on the institutional context. At one extreme, RSE roles look similar to traditional researchers. At the other extreme, they resemble an industrial software engineer. Most RSE roles inhabit the spectrum in between. Therefore, providing a straightforward, comprehensive definition of what an RSE does and what experience, skills and competencies they require is challenging. In this summarized community paper, we define the broad notion of RSEs, explore their different types of work, and define a list of competencies and values that frame their general identity. Further research and training can build upon and expand this foundation, and we expect graduates and practitioners to have a larger, more diverse set of skills than outlined here. © 1999-2011 IEEE.

关键词： computer aided software engineering

Qualitative Research Methods in software engineering: Past, Present, and Future

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arXiv 2025年

作者： Seaman, Carolyn Hoda, Rashina Feldt, Robert University of Maryland Baltimore County United States Monash University Melbourne Australia Chalmers University of Technology Gothenburg Sweden

The paper entitled "Qualitative Methods in Empirical Studies of software engineering" by Carolyn Seaman was published in TSE in 1999. It has been chosen as one of the most influential papers from the third decade of TSE’s 50 years history. In this retrospective, the authors discuss the evolution of the use of qualitative methods in software engineering research, the impact it’s had on research and practice, and reflections on what is coming and deserves attention. © 2025, CC BY-NC-ND.

关键词： computer aided software engineering

Soccer Gameplay Data Generation: Toward Integrating computer Simulations and Human Sports Analysis

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Soccer Gameplay Data Generation: Toward Integrating Computer...

27th RoboCup International Symposium, 2024

作者： Akiyama, Hidehisa Nakashima, Tomoharu Okayama University of Science Okayama Japan Osaka Metropolitan University Osaka Japan

ISBN: (纸本)9783031858581

This paper presents software that aims to generate extensive soccer gameplay data through computer simulations, addressing the scarcity of human-generated data for analysis. It discusses the challenges of analyzing human gameplay data, the need for computer simulations, and the development of software tools such as rcgamestats and rcg2data. The system uses the RoboCup Soccer Simulator to efficiently generate game data. In addition, it presents a case study on distribution analysis of ball interceptions to demonstrate the potential for various analytical purposes. The provided data includes 78,000 matches, which is equivalent to approximately 8,667 human soccer matches. Future efforts include expanding data collection and improving database system integration. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： computer aided software engineering

Leveraging Creativity as a Problem Solving Tool in software engineering

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arXiv 2025年

作者： Groeneveld, Wouter Hasselt Belgium

Today’s software engineering (SE) complexities require a more diverse tool set going beyond technical expertise to be able to successfully tackle all challenges. Previous studies have indicated that creativity is a prime indicator for overcoming these hurdles. In this paper, we port results from creativity research in the field of cognitive psychology to the field of SE. After all, programming is a highly creative endeavour. We explore how to leverage creativity as a practical problem solving tool to wield for software developers. The seven distinct but intertwined creative problem solving themes unfolded in this paper are accompanied with practical perspectives, specifically geared for software professionals. Just like technical skills such as knowledge of programming languages, we believe that creativity can be learned and improved with practice. © 2025, CC BY-SA.

关键词： computer aided software engineering

How Do Generative Models Draw a software Engineer? A Case Study on Stable Diffusion Bias

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arXiv 2025年

作者： Fadahunsi, Tosin d’Aloisio, Giordano Marco, Antinisca Di Sarro, Federica Department of Computer Science University College London London United Kingdom Department of Information Engineering Computer Science and Mathematics University of L’Aquila L’Aquila Italy

Generative models are nowadays widely used to generate graphical content used for multiple purposes, e.g. web, art, advertisement. However, it has been shown that the images generated by these models could reinforce societal biases already existing in specific contexts. In this paper, we focus on understanding if this is the case when one generates images related to various software engineering tasks. In fact, the software engineering (SE) community is not immune from gender and ethnicity disparities, which could be amplified by the use of these models. Hence, if used without consciousness, artificially generated images could reinforce these biases in the SE domain. Specifically, we perform an extensive empirical evaluation of the gender and ethnicity bias exposed by three versions of the Stable Diffusion (SD) model (a very popular open-source text-to-image model) - SD 2, SD XL, and SD 3 - towards SE tasks. We obtain 6,720 images by feeding each model with two sets of prompts describing different software-related tasks: one set includes the software Engineer keyword, and one set does not include any specification of the person performing the task. Next, we evaluate the gender and ethnicity disparities in the generated images. Results show how all models are significantly biased towards male figures when representing software engineers. On the contrary, while SD 2 and SD XL are strongly biased towards White figures, SD 3 is slightly more biased towards Asian figures. Nevertheless, all models significantly under-represent Black and Arab figures, regardless of the prompt style used. The results of our analysis highlight severe concerns about adopting those models to generate content for SE tasks and open the field for future research on bias mitigation in this context. © 2025, CC BY.

关键词： computer aided software engineering

Enhancing Collaboration for software Engineers through Matching

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arXiv 2025年

作者： Azim, Nayaab Khan Mohammed, Sadath Ullah Phaup, Evan Aina, Adeyemi Computer Science Virginia Tech BlacksburgVA United States

In recent years, the field of software engineering has experienced a considerable increase in demand for competent experts, resulting in an increased demand for platforms that connect software engineers and facilitate collaboration. In response to this necessity, in this paper we present a project to solve the lack of a proper one-stop connection platform for software engineers and promoting collaborative learning and upskilling. The idea of the project is to develop a web-based application (NEXAS) that would facilitate connecting and collaborating between software engineers. The application would perform algorithmic matching to suggest user connections based on their technical profiles and interests. The users can filter profiles, discover open projects, and form collaboration groups. Using this application will enable users to connect with peers having similar interests, thereby creating a community network tailored exclusively for software engineers. © 2025, CC BY.

关键词： computer aided software engineering

Generative AI and Empirical software engineering: A Paradigm Shift

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arXiv 2025年

作者： Treude, Christoph Storey, Margaret-Anne School of Computing and Information Systems Singapore Management University Singapore Department of Computer Science University of Victoria Canada

The widespread adoption of generative AI in software engineering marks a paradigm shift, offering new opportunities to design and utilize software engineering tools while influencing both developers and the artifacts they create. Traditional empirical methods in software engineering, including quantitative, qualitative, and mixed-method approaches, are well established. However, this paradigm shift introduces novel data types and redefines many concepts in the software engineering process. The roles of developers, users, agents, and researchers increasingly overlap, blurring the distinctions between these social and technical actors within the field. This paper examines how integrating AI into software engineering challenges traditional research paradigms. It focuses on the research phenomena that we investigate, the methods and theories that we employ, the data we analyze, and the threats to validity that emerge in this new context. Through this exploration, our goal is to understand how AI adoption disrupts established software development practices that creates new opportunities for empirical software engineering research. Copyright © 2025, The Authors. All rights reserved.

关键词： computer aided software engineering

Will AI Replace software Engineers? Do not hold your breath

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arXiv 2025年

作者： Roychoudhury, Abhik Zeller, Andreas National University of Singapore Singapore Singapore CISPA Helmholtz Center for Information Security Saarbrücken Germany

Artificial Intelligence (AI) technology such as Large Language Models (LLMs) have become extremely popular in creating code. This has led to the conjecture that future software jobs will be exclusively conducted by LLMs, and the software industry will cease to exist. But software engineering is much more than producing code—notably, maintaining large software and keeping it reliable is a major part of software engineering, which LLMs are not yet capable of. © 2025, CC BY.

关键词： computer aided software engineering