SoftwareX最新文献_第2页

An-augmenter: A unified platform for efficient image annotation and data augmentation 增强器：用于高效图像注释和数据增强的统一平台

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2026-02-01 Epub Date: 2026-01-22 DOI: 10.1016/j.softx.2026.102516

Samriddha Das, C. Igathinathane, Xin Sun

引用次数: 0

Dakar: A CoinJoin forensic software 达喀尔：CoinJoin的取证软件

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2026-02-01 Epub Date: 2026-01-21 DOI: 10.1016/j.softx.2026.102523

Michael Herbert Ziegler , Mariusz Nowostawski , Basel Katt

引用次数: 0

Version [1.2]-[AsymIntervals: A Python library for uncertainty modeling with asymmetric interval numbers] Version [1.2]-[AsymIntervals：用于不对称区间数的不确定性建模的Python库]

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2026-02-01 Epub Date: 2026-01-21 DOI: 10.1016/j.softx.2026.102518

Wojciech Sałabun , Damian Kedziora , Andrii Shekhovtsov

引用次数: 0

ExSMuV: [Ex]ploration software for [S]ummarized [Mu]ltimedia [V]ertical search results ExSMuV: [Ex]搜索软件，用于[S]汇总[Mu]多媒体[V]垂直搜索结果

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2026-02-01 Epub Date: 2026-01-16 DOI: 10.1016/j.softx.2025.102501

Muhammad Wajeeh Uz Zaman , Umer Rashid , Qaisar Abbas , Abdur Rehman Khan

{"title":"ExSMuV: [Ex]ploration software for [S]ummarized [Mu]ltimedia [V]ertical search results","authors":"Muhammad Wajeeh Uz Zaman , Umer Rashid , Qaisar Abbas , Abdur Rehman Khan","doi":"10.1016/j.softx.2025.102501","DOIUrl":"10.1016/j.softx.2025.102501","url":null,"abstract":"<div><div>The proliferation of online multimedia content has transformed user information-seeking behavior from lookup to exploratory search. Existing web search engines present search results in disjoint, linearly ranked search result lists called verticals to bridge the information-exploration gap. However, search results presented by vertical search engines require extensive cognitive effort, hindering users’ ability to explore relevant content across verticals. We propose ExSMuV: [Ex]ploration Software for [S]ummarized [Mu]ltimedia [V]ertical Search Results, a framework that aggregates search results across verticals into coherent multimedia documents based on the most prominent topics, using a customized frequent-term scoring algorithm. Based on the identified important topics, a cosine similarity measure is used to aggregate the top-k similar results across verticals into a multimedia document. These documents combine conceptually similar web, image, and video search results into a comprehensive, unified Search User Interface (SUI) to reduce user navigation effort and improve exploration of relevant search results. We conducted a cognitive user study (N=23) comparing ExSMuV with a Bing vertical search baseline. The proposed framework enabled participants to perform exploratory search tasks with +37 % processing speed, +34 % selective attention, and +41 % better working memory compared to the baseline with statistically significant results (p <span><math><mo>≤</mo></math></span> 0.01).</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"33 ","pages":"Article 102501"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

HyDistFlow.jl: A unified dynamic hybrid AC/DC power flow package for DER-rich distribution systems HyDistFlow。[j]：一种用于富der配电系统的统一动态混合交直流潮流包

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2026-02-01 Epub Date: 2025-12-17 DOI: 10.1016/j.softx.2025.102486

Sipeng Luo, Tianyang Zhao, Zhaohong Bie

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引用次数: 0

Advancing corrosion detection: A fuzzy expert system with desktop and mobile interfaces 先进的腐蚀检测：具有桌面和移动接口的模糊专家系统

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2026-02-01 Epub Date: 2025-12-13 DOI: 10.1016/j.softx.2025.102488

Mariana Bárcenas Castañeda , Luis Enrique Calatayud Velázquez , Manuel Sabino Lazo Cortes , Mauricio Gabriel Orozco del Castillo , Víctor Augusto Castellanos Escamilla

引用次数: 0

CrossCarry: An R package for the analysis of data from a crossover design with GEE 一个R软件包，用于分析来自具有GEE的交叉设计的数据

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2026-02-01 Epub Date: 2025-12-17 DOI: 10.1016/j.softx.2025.102482

N.A. Cruz , O.O. Melo , C.A. Martinez , R. Alberich

{"title":"CrossCarry: An R package for the analysis of data from a crossover design with GEE","authors":"N.A. Cruz , O.O. Melo , C.A. Martinez , R. Alberich","doi":"10.1016/j.softx.2025.102482","DOIUrl":"10.1016/j.softx.2025.102482","url":null,"abstract":"<div><div>Crossover designs are widely applied in medicine, agriculture, and other biological sciences, yet their analysis remains challenging due to longitudinal observations within each unit and the presence of carry-over effects. Despite their prevalence, there is no comprehensive <span>R</span> package dedicated to the statistical modeling of crossover data. The <span>CrossCarry</span> package addresses this gap by providing a flexible and open-source framework for analyzing any crossover design with response variables from the exponential family, with or without washout periods. It extends the generalized estimating equations (GEE) methodology by incorporating correlation structures specifically tailored to crossover data, capturing both within- and between-period dependencies. Moreover, <span>CrossCarry</span> integrates a parametric component for treatment effects and a nonparametric spline-based component for time and carry-over effects. This combination allows users to model complex correlation patterns and temporal structures with minimal coding effort. By offering a domain-independent implementation of advanced statistical methodology, <span>CrossCarry</span> facilitates reproducible research and promotes the reuse of robust analytical tools across disciplines. Its potential applications span medical trials, agricultural field experiments, and other areas where crossover designs are essential, thus contributing to broader scientific discovery and cross-domain methodological standardization.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"33 ","pages":"Article 102482"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145797871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SafeOps+: An integrated platform for automated security analysis and compliance in DevSecOps pipelines SafeOps+：用于DevSecOps管道自动化安全分析和合规性的集成平台

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2026-02-01 Epub Date: 2025-12-11 DOI: 10.1016/j.softx.2025.102465

Achbarou Omar , Lachgar Mohamed , El Badouri Youssef , Rhouddani Monsef , Tahalli Anas , El Dhimni Roa

引用次数: 0

Forecast what matters, when it matters: Introducing Maynard, a tool for modern nowcasting 预测什么重要，什么时候重要：介绍Maynard，一个现代临近预报的工具

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2026-02-01 Epub Date: 2025-12-11 DOI: 10.1016/j.softx.2025.102466

Elżbieta Jowik , Agnieszka Jastrzębska , Michał Gamrot

{"title":"Forecast what matters, when it matters: Introducing Maynard, a tool for modern nowcasting","authors":"Elżbieta Jowik , Agnieszka Jastrzębska , Michał Gamrot","doi":"10.1016/j.softx.2025.102466","DOIUrl":"10.1016/j.softx.2025.102466","url":null,"abstract":"<div><div>Nowcasting means forecasting in fine detail, by any method, over very short horizons, from the present into the immediate future. Originally used in meteorology, the term was later adopted in economics to describe an early assessment of the economy’s current (“now”) state. It is like a weather forecast for the economy – but instead of projecting rainfall or temperature, economists use nowcasts to make a judgment about whether the economy is growing or shrinking, and whether the balance of risk is toward heating up (increasing inflation) or cooling down (lost output and rising unemployment).</div><div>Our research looks at the practical side of short-term macroeconomic forecasting and the science behind it. We propose a Python package that combines machine learning and econometrics – canonical time-series models and modern algorithms – to read the economy as it moves, reacts, and reshapes itself. Every nowcast is estimated from the ground up, not just with new data, but with updated variables, model structures, and parameters, allowing it to respond to evolving macroeconomic dynamics, structural breaks, and policy interventions in real time. Explainable AI (XAI) principles, applied along the way, ensure that the results are fully auditable. Users know which variables matter most and how each new piece of information changes the outlook.</div><div>In that sense, the package is more than a forecasting solution. It is a tool for understanding how information flows through the economy. Grounded in strong theoretical foundations and designed for evidence-based empirical analysis, it provides a way to work with real-time data without locking users into a specific way of modeling or thinking about it.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"33 ","pages":"Article 102466"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145749396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LabChain: Enabling reproducible and modular scientific experiments in Python LabChain：在Python中实现可重复和模块化的科学实验

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2026-02-01 Epub Date: 2026-02-05 DOI: 10.1016/j.softx.2026.102543

Manuel Couto , Javier Parapar , David E. Losada

{"title":"LabChain: Enabling reproducible and modular scientific experiments in Python","authors":"Manuel Couto , Javier Parapar , David E. Losada","doi":"10.1016/j.softx.2026.102543","DOIUrl":"10.1016/j.softx.2026.102543","url":null,"abstract":"<div><div>Python’s flexibility accelerates research prototyping but frequently results in unmaintainable code and duplicated computational effort. The absence of software engineering practices in academic development leads to fragile experiments where even minor modifications require rerunning expensive computations from scratch. LabChain addresses this through a pipeline-and-filter architecture with hash-based caching that automatically identifies and reuses intermediate results. When evaluating multiple classifiers on the same embeddings, the framework computes embeddings once—regardless of how many classifiers are tested. This automatic reuse extends across research teams: if another researcher applies different models to the same preprocessed data, LabChain detects existing results and eliminates redundant computation. Beyond efficiency, the framework’s modular structure reduces technical debt that obscures experimental logic. Pipelines serialize to JSON for reproducibility and distributed execution across computational clusters. A mental health detection case study demonstrates dual impact: computational savings exceeding 12 hours per task with reduced CO<sub>2</sub> emissions, alongside substantial scientific improvements—performance gains up to 192.3% in some tasks. These improvements emerged from clearer experimental organization that exposed a critical preprocessing bug hidden in the original monolithic implementation. LabChain proves that software engineering discipline amplifies scientific discovery.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"33 ","pages":"Article 102543"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0