Hasil untuk "Computer software"

Sumit Gulwani, Oleksandr Polozov, Rishabh Singh

Fran Berman, G. Fox, Tony (Anthony) John Grenville Hey

B. Laurel, S. J. Mountford

S. Mumtaz

R. W. Cottingham, R. M. Idury, A. Schäffer

D. Altman, D. Machin, T. Bryant et al.

S. Hennekens, J. Schaminée

G. Vanderplaats

E. Myers, W. Miller

James L. Peterson

John D. Newell, R. A. Keller, N. Baily

L. Peterson

N. Carnevale, M. Hines

J. McClean, N. Rubin, Kevin J Sung et al.

Quantum simulation of chemistry and materials is predicted to be an important application for both near-term and fault-tolerant quantum devices. However, at present, developing and studying algorithms for these problems can be difficult due to the prohibitive amount of domain knowledge required in both the area of chemistry and quantum algorithms. To help bridge this gap and open the field to more researchers, we have developed the OpenFermion software package (www.openfermion.org). OpenFermion is an open-source software library written largely in Python under an Apache 2.0 license, aimed at enabling the simulation of fermionic and bosonic models and quantum chemistry problems on quantum hardware. Beginning with an interface to common electronic structure packages, it simplifies the translation between a molecular specification and a quantum circuit for solving or studying the electronic structure problem on a quantum computer, minimizing the amount of domain expertise required to enter the field. The package is designed to be extensible and robust, maintaining high software standards in documentation and testing. This release paper outlines the key motivations behind design choices in OpenFermion and discusses some basic OpenFermion functionality which we believe will aid the community in the development of better quantum algorithms and tools for this exciting area of research.

B. Parmanto, A. Lewis, Kristin M Graham et al.

Current telehealth usability questionnaires are designed primarily for older technologies, where telehealth interaction is conducted over dedicated videoconferencing applications. However, telehealth services are increasingly conducted over computer-based systems that rely on commercial software and a user supplied computer interface. Therefore, a usability questionnaire that addresses the changes in telehealth service delivery and technology is needed. The Telehealth Usability Questionnaire (TUQ) was developed to evaluate the usability of telehealth implementation and services. This paper addresses: (1) the need for a new measure of telehealth usability, (2) the development of the TUQ, (3) intended uses for the TUQ, and (4) the reliability of the TUQ. Analyses indicate that the TUQ is a solid, robust, and versatile measure that can be used to measure the quality of the computer-based user interface and the quality of the telehealth interaction and services.

Y. Benenson, Binyamin Gil, Uri Ben-Dor et al.

Zhenghong Wang, R. Lee

Laomo Zhang, Zeyu Yang, Ying Ma et al.

Abstract Industrial defect detection replaces manual visual inspection with an efficient, accurate, and reproducible automated intelligent system, directly enhancing quality management in intelligent manufacturing and providing clear engineering value for production safety and corporate competitiveness; however, their production processes often generate various defects. Detecting these defects is challenging due to issues such as high inter-class similarity among defect types, weak semantic information in complex small objects, and the presence of multi-scale defective targets, all of which compromise product quality and safety. To overcome these challenges, we introduce MFDH-Net, an innovative industrial defect detection network. The framework begins with a Dual-domain Feature Extraction Network (DFE-Net), which employs a full-domain local sensing module to capture both global and local defect information bidirectionally. Next, a Multilevel Feature Aggregation Network (MFA-Net) is designed, incorporating a full-level fusion mechanism for multiscale features and an adaptive feature weighting strategy along bidirectional propagation paths, enabling deep feature interaction both within and across layers. Additionally, a Spatial Semantic Fusion Module (SSFM) is introduced to achieve spatial and pixel-level alignment, effectively mitigating semantic gaps in the feature pyramid that degrade detection performance. Finally, a Cross-aware Decoupling Head (CDH) extracts fine-grained defect representations, while a Cross-aware Attention Module (CAM) enhances sparse, defect-related features through horizontal and vertical dual attention weighting in spatial dimensions, thereby improving recognition of tiny defects in complex industrial backgrounds. The experimental results show that 94.3%, 96.6%, 71.7 and 98.9% of mAP@.5 are obtained on steel, PCB, GC10-Net and Automobile Surface Defect datase, respectively, and they reach 52FPS, obtaining SOTA performance, which provides reliable technical guarantee for intelligent manufacturing quality control.

Zengyang Li, Binbin Huang, Yimeng Li et al.

Industrial Internet of Things (IIoT) has become a prominent topic recently, with an increasing number of IIoT OSS projects emerging, also within the Eclipse Foundation. Code cloning is a common practice that can adversely affect software maintenance. In the IIoT OSS domain, developers frequently reuse code and configurations for efficiency, which can lead to code clone proliferation and maintenance challenges. However, the extent and effects of code clones in the IIoT OSS domain remain understudied. This study aims to investigate the prevalence, evolution, and co-modification of code clones within the Eclipse IIoT OSS ecosystem. We collected 90 release versions from 15 projects in the Eclipse IIoT OSS ecosystem, and investigated their code clone situations based on source code and change history using the NiCad tool and our custom analysis module. The investigation covered clone distribution, patterns, evolution trends, co-modified clones, and cross-project clones. 1) Code clones are prevalent in Eclipse IIoT OSS projects, with 16.3% of code lines involved in clones - nearly twice the proportion observed in traditional OSS projects; 2) Most code clones occur between commits, while there are still a significant proportion of code clones that each clone pair happens within a commit; 3) Most Eclipse IIoT projects remain stable in clone numbers during version iterations; 4) An average of 0.17% of the clones have been co-modified, which negatively affect maintenance; and 5) Cross-project clone pairs are prevalent, more in Java than in C projects, with rare co-modifications (0.02%) only in Java projects. Our findings highlight the potential negative impacts of these clones on software maintenance, emphasizing the need to address these issues to improve overall software quality.

Eduard Enoiu, Jean Malm, Gregory Gay

We explore the concept of folklore within software engineering, drawing from folklore studies to define and characterize narratives, myths, rituals, humor, and informal knowledge that circulate within software development communities. Using a literature review and thematic analysis, we curated exemplar folklore items (e.g., beliefs about where defects occur, the 10x developer legend, and technical debt). We analyzed their narrative form, symbolic meaning, occupational relevance, and links to knowledge areas in software engineering. To ground these concepts in practice, we conducted semi-structured interviews with 12 industrial practitioners in Sweden to explore how such narratives are recognized or transmitted within their daily work and how they affect it. Synthesizing these results, we propose a working definition of software engineering folklore as informally transmitted, traditional, and emergent narratives and heuristics enacted within occupational folk groups that shape identity, values, and collective knowledge. We argue that making the concept of software engineering folklore explicit provides a foundation for subsequent ethnography and folklore studies and for reflective practice that can preserve context-effective heuristics while challenging unhelpful folklore.