Development Studies
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Related Articles from SNS
When Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective
Announce Type: replace Abstract: In recent years, unmanned aerial vehicles (UAVs) have become increasingly popular in our daily lives and have attracted significant research interest in software engineering. At the same time, large language models (LLMs) have made notable advancements in language understanding, reasoning, and generation, making LLM applications in UAVs a promising research direction. However, existing studies have largely remained in preliminary exploration with a limited...
Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networks
arXiv:2606.01975v1 Announce Type: new Abstract: We consider LLM-based algorithm development through a case study on contractionorder optimisation for tensor networks with OpenEvolve. We pay particular attention to the choice of the LLM as well as design choices such as evaluation metric and test instances. Our results highlight both the promise of verifier-guided evolutionary coding agents for algorithm development/improvement and the continuing importance of evaluation, validation, and...
Genome editing of key domestication genes overcomes self-incompatibility and bitter taste in cultivated buckwheat
Buckwheat (Fagopyrum spp.) is a climate-resilient pseudocereal, yet its global adoption is constrained by the distylous self-incompatibility of common buckwheat (F. esculentum) and grain bitterness of Tartary buckwheat (F. tataricum). While the S-locus early flowering 3 (FeS-ELF3) gene has been identified as a key regulator of self-compatibility, a stable genetic transformation of F. esculentum has not yet been developed. In this study, we developed an Agrobacterium-mediated transformation...
Weight-loss drugs may cut breast cancer risk by up to 30%, study finds
Women on weight-loss medication may have a lower risk of developing breast cancer, according to a new study. Women who take GLP-1 medications, such as Ozempic or Mounjaro, are less likely to develop breast cancer, a new study has found. The findings, presented at the 2026 American Society of Clinical Oncology (ASCO) annual meeting, come from an analysis of more than 110,000 women aged between 45 and 80.
Many a Little Makes a Mickle: A Code-Centric Empirical Study of Data Minimization Principle in Android App Development
Announce Type: new Abstract: Modern mobile applications consume large amounts of data to function, raising significant privacy concerns and regulatory challenges. While prior work has primarily focused on detecting compliance gaps through policy analysis, there remains a lack of actionable guidance for developers to implement privacy principles at the code level. In this paper, we focus on data minimization as a developer-operationalizable principle and investigate its realization in Android...
Exploring the connection between coding habits and cognitive styles in malware developers
Announce Type: new Abstract: Malware research primarily studies the results, the methods, and the impact. Even from an offensive security perspective, what is examined is the method, not the development strategy of the offender. This study investigates the behavioral signatures and coding patterns embedded in the malware source code.
Mediating students' empathy development through play
Mediating students' empathy development through play Sadie Harley Scientific Editor Andrew Zinin Lead Editor Playing a card game can support empathy development in college classrooms, according to a new study led by researchers in Penn State University Libraries' Teaching and Learning with Technology (TLT). The study, "Mediating Students' Empathy Development Through Play," was published in the Journal of Play in Adulthood. It assesses the Inclusive and Multicultural Perspectives with Action,...
Measuring Agents in Production
Announce Type: replace Abstract: LLM-based agents already operate in production across many industries, yet we lack an understanding of what technical methods make deployments successful. We present the first systematic study of Measuring Agents in Production, MAP, using first-hand data from agent developers. We conducted 20 case studies via in-depth interviews and surveyed 86 deployed systems practitioners across 26 domains.
Interpreting Learning Under Competing Models: Joint and Stepwise Approaches for Dynamic Cognitive Diagnosis
Announce Type: new Abstract: Digital learning environments record learners' responses to individual items, making it possible to study the development of specific skills rather than overall scores. Drawing conclusions about learning from these data requires a model that links responses to latent skills and tracks how mastery changes over time. When the skills measured by each item are unknown, the analyst must decide whether to estimate this structure, the Q-matrix, jointly with the learning...
ML-Physical Fusion Models Are Accelerating the Paradigm Shift in Operational Typhoon Forecasting
arXiv:2503.00424v2 Announce Type: replace Abstract: In this study, we develop a hybrid operational typhoon forecasting model that integrates the FuXi machine-learning (ML) model with the physics-based Shanghai Typhoon Model (SHTM) into a dual physics-data-driven framework. By employing spectral nudging, the hybrid model named FuXi-SHTM leverages FuXi's robust large-scale forecasting capabilities alongside SHTM's mesoscale strengths, significantly enhancing track, intensity, and precipitation...