There are competency requirements identified by the regulatory body that nurses must meet when they complete a preregistration programme. Subsequently, nurse educators must ensure that student nurses acquire and retain the relevant theory and practice of core clinical skills, to prepare them for registration. The teach...
Deborah Rainey· Research Portal (Queen's Uni...· 0 citations
Background Research denotes that problematic child behaviour can impact negatively upon caregiver well-being. Decreased well-being increases use of harsh and punitive discipline measures with such measures exacerbating negative child behaviour, and; thus, negative cycles are created. Evidence suggests that intervention...
Sarah Patterson· Research Portal (Queen's Uni...· 0 citations
With the rapid evolution of Large Language Models (LLMs), automated software testing is witnessing a paradigm shift. While proprietary models like GPT-4o demonstrate impressive capabilities, their high deployment costs and data privacy concerns make open-source LLMs the practical imperative for many academic and indust...
Guo-Qing Wang, Cheng-Ran Yang, Xiao-Xuan Zhou et al.· Proceedings of the ACM on So...· 0 citations
Software testing is a critical, yet resource-intensive phase of the software development lifecycle. Search-based approaches typically achieve high coverage but produce tests with low readability, whereas large language model (LLM)-based methods generate more human-readable tests but often suffer from low coverage and c...
Pengyu Chang, Yixiong Fang, SILIN CHEN et al.· Proceedings of the ACM on so...· 0 citations
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Large language models (LLMs) have recently shown promising potential in automating unit test evolution for evolving software systems. However, the effectiveness of LLMs in unit test evolution remains insufficiently understood, particularly with respect to prompt design choices, in-context learning (ICL) strategies, and...
Wei-Chang Liu, Jun-Wei Zhang, Yu-Qing Niu et al.· Proceedings of the ACM on so...· 0 citations
Program migration, which involves translating software systems from one programming language to another, is essential for modernizing legacy systems and improving maintainability. Recent large language models (LLMs) have demonstrated strong performance in code translation; however, existing methods and benchmarks still...
Xitao Li, Xiaofei Xie, Jianmin Wu et al.· Proceedings of the ACM on Pr...· 1 citation
Large Language Models (LLMs) have significantly improved programming efficiency by parsing natural language into code snippets. However, their performance degrades significantly as requirements scale; when faced with multi-modal documents containing hundreds of scenarios, LLMs often produce incorrect implementations or...
Weiyu Kong, Yun Lin, Xiwen Teoh et al.· Proceedings of the ACM on so...· 1 citation
The HPC site profile is proposed, a structured, evidence-backed document that preflights a workflow into an execution plan or an early, explainable failure and is presented as a case study of preflighting a real workflow.
This research full paper examines how undergraduate students use large language models (LLMs) across computer science subfields. As LLMs become increasingly integrated into computing education, understanding how their use varies across technical and pedagogical contexts is essential for designing effective, subfield-aw...
S. Nizamani, Yoonjeong Lee, Nikitha Donekal Chandrashekar et al.· 0 citations
Coding agents are now proficient enough to generate complex software applications from a single prompt. As their capabilities have grown, human oversight has increasingly shifted from line-by-line code review toward hands-off evaluation of outcomes. However, recent studies have shown that such a transition exposes a cr...
Dan-Qing Wang, Song-Wen Zhao, Harsh Sharma et al.· 0 citations
Coding agents solve repository-level software engineering tasks through long trajectories of code inspection, search, editing, and testing. As a task progresses, earlier exploration becomes stale, so managing context is more than avoiding overflow: an agent must decide when to compact, what working state to preserve, a...
Xuan Zhang, Long-Tao Zheng, Cun-Xiao Du et al.· 2 citations
Dynamic resource assignment, the real-time allocation of task streams to heterogeneous processing nodes, is the backbone of modern computing infrastructure. While learning-based schedulers excel in research, industrial deployments still rely on hand-written rules that operators can read, audit, and execute within tight...
J. Ayala-Romero, Andres Garcia-Saavedra, X. Costa-Pérez· 0 citations
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
