发布求助
文献互助 智能选刊 最新文献

SoftwareX最新文献

筛选
英文 中文
DynExp—Highly flexible laboratory automation for dynamically changing classical and quantum experiments DynExp-高度灵活的实验室自动化，用于动态变化的经典和量子实验
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-13 DOI: 10.1016/j.softx.2024.101964
Julian M. Bopp , Tim Schröder
{"title":"DynExp—Highly flexible laboratory automation for dynamically changing classical and quantum experiments","authors":"Julian M. Bopp ,&nbsp;Tim Schröder","doi":"10.1016/j.softx.2024.101964","DOIUrl":"10.1016/j.softx.2024.101964","url":null,"abstract":"<div><div>Experiments in science and particularly quantum physics grow complex requiring sophisticated control software. Such software must provide a rigorous abstraction between hardware and measurement modules. Furthermore, it should provide networking functionality for accessing shared devices connected to a network and for publishing measured data to remote sites. However, to date there is no fast and easy-to-use experimental control software for this purpose written in C++. We introduce DynExp as a highly flexible laboratory automation software. It enables to assign physical devices to measurement modules at runtime and provides networking functionality. Its embedded Python interpreter allows processing measured data in realtime.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101964"},"PeriodicalIF":2.4,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Pynblint: A quality assurance tool to improve the quality of Python Jupyter notebooks Pynblint：提高 Python Jupyter 笔记本质量的质量保证工具
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-12 DOI: 10.1016/j.softx.2024.101959
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
{"title":"Pynblint: A quality assurance tool to improve the quality of Python Jupyter notebooks","authors":"Luigi Quaranta,&nbsp;Fabio Calefato,&nbsp;Filippo Lanubile","doi":"10.1016/j.softx.2024.101959","DOIUrl":"10.1016/j.softx.2024.101959","url":null,"abstract":"<div><div>Jupyter Notebook is widely recognized as a crucial tool for data science professionals and students. Its interactive and self-documenting nature makes it particularly suitable for data-driven programming tasks. Nonetheless, it faces criticism for its limited support for software engineering best practices and its tendency to encourage bad programming habits, such as non-linear code execution. These issues often result in non-reproducible, poorly documented, and low-quality notebook code. In this paper, we introduce <span>Pynblint</span>, a static analyzer for Python Jupyter notebooks. <span>Pynblint</span> is designed to help data scientists write better notebooks, easy to understand and reproduce. We report on how we validated <span>Pynblint</span> with both professional data scientists and students, receiving overall positive feedback. Additionally, we discuss the potential of <span>Pynblint</span> to facilitate research inquiries into computational notebooks.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101959"},"PeriodicalIF":2.4,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PyCAN: Open-source Python software of N-dimensional Content-Addressable Network PyCAN：N 维内容可寻址网络的开源 Python 软件
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-11 DOI: 10.1016/j.softx.2024.101962
Yuchan Lee , Sookwang Lee , Jaehwan Lee
{"title":"PyCAN: Open-source Python software of N-dimensional Content-Addressable Network","authors":"Yuchan Lee ,&nbsp;Sookwang Lee ,&nbsp;Jaehwan Lee","doi":"10.1016/j.softx.2024.101962","DOIUrl":"10.1016/j.softx.2024.101962","url":null,"abstract":"<div><div>We propose PyCAN, the first open-source Python implementation of N-dimensional Content-Addressable Network (CAN) with full feature sets to maintain peer-to-peer structure. Existing CAN implementations supports limited functions of Distributed Hash Table (DHT), so they cannot be used in practice. However, PyCAN offers full set of features such as N-dimension coordinates, node removal followed by node taking over, and a verification method to keep peer-to-peer structure. By extensive experiments, we confirm that PyCAN supports scalable overlay structures, so it is practically usable in peer-to-peer systems.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101962"},"PeriodicalIF":2.4,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MetaCraft: Database-driven metalens design and optimization software MetaCraft：数据库驱动的金属网设计和优化软件
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-11 DOI: 10.1016/j.softx.2024.101954
Jaebum Noh , Hanlyun Cho , Cherry Park , Dohyun Kang , Yujin Park , Junsuk Rho
{"title":"MetaCraft: Database-driven metalens design and optimization software","authors":"Jaebum Noh ,&nbsp;Hanlyun Cho ,&nbsp;Cherry Park ,&nbsp;Dohyun Kang ,&nbsp;Yujin Park ,&nbsp;Junsuk Rho","doi":"10.1016/j.softx.2024.101954","DOIUrl":"10.1016/j.softx.2024.101954","url":null,"abstract":"<div><div>Metalens design and optimization software (MetaCraft) is a Python-based software that generates a variety of metalens designs based on the user preferences. The design of metalenses involves the time-wise and computationally expensive tasks of searching for the appropriate components. Additionally, designers must ensure that the generated designs are compatible with fabrication capabilities, given that optical metalenses consist of nanoscale structures and elements. Currently, there is a shortage of dedicated software for metalens designs, and even fewer tools are available that can customize designs based on specific requests. MetaCraft is designed with an intuitive interface to allow users unfamiliar with coding to easily navigate through the graphical user interface. This study describes the basic usage of MetaCraft, elucidates its compositional framework, and substantiates the software's performance by comparing the results with the previously reported ones in metalens research.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101954"},"PeriodicalIF":2.4,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
tramoTDA: A trajectory monitoring system using Topological Data Analysis tramoTDA：使用拓扑数据分析的轨迹监测系统
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-10 DOI: 10.1016/j.softx.2024.101953
Miriam Esteve, Antonio Falcó
{"title":"tramoTDA: A trajectory monitoring system using Topological Data Analysis","authors":"Miriam Esteve,&nbsp;Antonio Falcó","doi":"10.1016/j.softx.2024.101953","DOIUrl":"10.1016/j.softx.2024.101953","url":null,"abstract":"<div><div>Due to the rapid proliferation of mobile devices and advanced tracking sensors, there is a significant increase in data production daily. In response, we have created <em>tramoTDA</em>, a Python library that uses Topological Data Analysis (TDA) to enable intuitive and visually-oriented classification of trajectory data. This tool offers a unique approach by focusing on the data’s topological properties, which enables the identification of subtle and critical patterns often missed by conventional methods. <em>tramoTDA</em> combines scientific rigor with user-friendly design, making it suitable for both technical and non-technical users in diverse applications such as urban planning and maritime navigation. Through its innovative use of TDA, <em>tramoTDA</em> not only enhances data interpretation but also facilitates new research opportunities in complex system analysis, positioning it as a pivotal resource in data science and analytics.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101953"},"PeriodicalIF":2.4,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TestAnaAPP: An interactive R-shiny application for various test analysis methods TestAnaAPP：适用于各种测试分析方法的交互式 R-shiny 应用程序
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-09 DOI: 10.1016/j.softx.2024.101967
Youxiang Jiang, Qing Zeng, Hongbo Wen
{"title":"TestAnaAPP: An interactive R-shiny application for various test analysis methods","authors":"Youxiang Jiang,&nbsp;Qing Zeng,&nbsp;Hongbo Wen","doi":"10.1016/j.softx.2024.101967","DOIUrl":"10.1016/j.softx.2024.101967","url":null,"abstract":"<div><div>This paper presents <em>TestAnaAPP</em>, an interactive, user-friendly R package designed for conducting psychometric analyses in social science. It offers a comprehensive suite of psychometric analyses, including factor analysis (FA), classical test theory (CTT), unidimensional and multidimensional item response theory (IRT), continuous response model (CRM), and differential item functioning (DIF) analysis. These methods are commonly employed in data mining of tests and questionnaires. As demonstrated in this paper, <em>TestAnaAPP</em> empowers researchers and practitioners from diverse fields with an interest in applying psychometric methods to seamlessly perform analyses, access comprehensive data analysis results, generate visualizations, obtain detailed analysis reports, and more.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101967"},"PeriodicalIF":2.4,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing commit message quality in software capstone projects with generative AI 利用生成式人工智能提高软件毕业设计项目中的承诺信息质量
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-07 DOI: 10.1016/j.softx.2024.101947
Andrés Neyem , Agustín Rios-Letelier , Kevin Céspedes-Arancibia , Juan Pablo Sandoval Alcocer , Marcelo Mendoza
{"title":"Enhancing commit message quality in software capstone projects with generative AI","authors":"Andrés Neyem ,&nbsp;Agustín Rios-Letelier ,&nbsp;Kevin Céspedes-Arancibia ,&nbsp;Juan Pablo Sandoval Alcocer ,&nbsp;Marcelo Mendoza","doi":"10.1016/j.softx.2024.101947","DOIUrl":"10.1016/j.softx.2024.101947","url":null,"abstract":"<div><div>Software Capstone Projects provide valuable hands-on experience for students in software development, and creating effective commit messages is an essential, though often challenging, part of this process. These messages play a key role in managing repositories, facilitating collaboration, and offering insights into the project’s progression for mentors and managers. However, creating high-quality commit messages can be challenging, especially for novice developers. We introduce <em>LetsCommit</em>, a tool designed to improve the traditional Git commit command line interface. The tool utilizes three state-of-the-art Large Language Models (LLMs): GPT-3.5, GPT-4, and LLaMa-2, to provide commit message suggestions to students. Results from a user experience survey showed high satisfaction, indicating strong potential for incorporating <em>LetsCommit</em> into future projects. Beyond its technical applications, <em>LetsCommit</em> possesses transformative potential in the field of education. The iterative learning process it supports, coupled with real-time insights, reinforces good software development practices and enhances the overall learning experience. These findings highlight <em>LetsCommit</em>’s substantial impact on software engineering education, setting the stage for further advancements.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101947"},"PeriodicalIF":2.4,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
pyJSON Schema Loader and JSON Editor: A tool for file-based metadata management pyJSON 模式加载器和 JSON 编辑器：基于文件的元数据管理工具
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-07 DOI: 10.1016/j.softx.2024.101945
Nick Plathe , Markus M. Becker , Steffen Franke
{"title":"pyJSON Schema Loader and JSON Editor: A tool for file-based metadata management","authors":"Nick Plathe ,&nbsp;Markus M. Becker ,&nbsp;Steffen Franke","doi":"10.1016/j.softx.2024.101945","DOIUrl":"10.1016/j.softx.2024.101945","url":null,"abstract":"<div><div>This work introduces the “pyJSON Schema Loader and JSON Editor”, a client-side desktop application for offline and local environments capable of creating, editing and tracking metadata-containing JSON documents. The newly developed tool aims to support the generation and re-use of structured metadata, required for the implementation of research data management and the FAIR data principles in research workflows. pyJSON is written in Python, a modern and flexible programming language. The interface consists of a table-like view tailored to present JSON documents, enriched with information from the corresponding JSON schema. It shall assist in creating and maintaining documents containing metadata by simplifying the process of generation and editing based on a given schema. It is used to document data sets, data collections and devices in a local file structure, intending to support the transition from paper-based documentation to more modern research data management workflows, while sustaining a uniform and standardised structure, without the need to bind users to an often complex and resource demanding database system.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101945"},"PeriodicalIF":2.4,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
LFG: An easy-to-use realistic synthetic LandFill Generator LFG： 易于使用的逼真合成土地填充生成器
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-07 DOI: 10.1016/j.softx.2024.101936
Thanos Petsanis , Athanasios Ch. Kapoutsis , Elias B. Kosmatopoulos
{"title":"LFG: An easy-to-use realistic synthetic LandFill Generator","authors":"Thanos Petsanis ,&nbsp;Athanasios Ch. Kapoutsis ,&nbsp;Elias B. Kosmatopoulos","doi":"10.1016/j.softx.2024.101936","DOIUrl":"10.1016/j.softx.2024.101936","url":null,"abstract":"<div><div>In this paper we present a Blender add-on named <strong>LFG</strong> that allows for easy, large and realistic, 3D model <strong>L</strong>and<strong>F</strong>ill <strong>G</strong>eneration. Large datasets of vast, diverse synthetic landfills are hard to come by, and greatly in need for the purposes of developing and evaluating a multitude of algorithms (e.g. waste classification, 3D-reconstruction, volume estimation algorithms) in the context of research against environment crime. Additionally, they can be used alongside UAV simulators for the development of path-planning algorithms. Although there are some 3D models of landfills available on online 3D-model marketplaces, these are often expensive, low-quality, low-variety and unalterable models. LFG offers customizable, expandable options and realistic features tailored for landfill generation and research.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101936"},"PeriodicalIF":2.4,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ignis: A one-dimensional laminar flame code Ignis：一维层流火焰代码
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-06 DOI: 10.1016/j.softx.2024.101937
Jansen P. Berryhill, Jacob K. Spinti, David O. Lignell
{"title":"Ignis: A one-dimensional laminar flame code","authors":"Jansen P. Berryhill,&nbsp;Jacob K. Spinti,&nbsp;David O. Lignell","doi":"10.1016/j.softx.2024.101937","DOIUrl":"10.1016/j.softx.2024.101937","url":null,"abstract":"<div><div>Laminar flame codes have an important role in combustion modeling. They can provide a fundamental understanding of flame dynamics and provide a basis for building subgrid scale models in turbulent flow simulations. This paper presents Ignis, an open-source laminar flame code with the capability to offload submodels, like soot formation and radiation, using external packages and libraries. Ignis is written in C++, is documented with Doxygen, and is available on GitHub. It contains three different flame formulations: diffusion flames, premixed flames, and laminar flamelets solved in the mixture fraction coordinate. An option to facilitate creation of a diffusion flame table is also included. These options allow for Ignis to be used as a flame model for comparisons against experimental data, for use in turbulent subgrid models, or for flame structure investigations.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101937"},"PeriodicalIF":2.4,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信