发布求助
文献互助 智能选刊 最新文献

Software Impacts最新文献

筛选
英文 中文
FEACKER: Platform-based implicit feedback in annotation-based variant management tools FEACKER：基于注释的变体管理工具中基于平台的隐式反馈
IF 1.3
Software Impacts Pub Date : 2024-07-19 DOI: 10.1016/j.simpa.2024.100688
Raul Medeiros, Oscar Díaz, Xabier Garmendia
{"title":"FEACKER: Platform-based implicit feedback in annotation-based variant management tools","authors":"Raul Medeiros,&nbsp;Oscar Díaz,&nbsp;Xabier Garmendia","doi":"10.1016/j.simpa.2024.100688","DOIUrl":"10.1016/j.simpa.2024.100688","url":null,"abstract":"<div><p>Software Product Line Engineering (SPLE) involves developing multiple software variants with shared features, aiming for reuse. This reuse should not be limited to functional features but should also encompass managerial concerns. Among these concerns, implicit feedback is the process of collecting data on how and when software products are used to identify bugs, usability issues, and inform requirement prioritization. This paper introduces FEACKER, an extension to pure::variants, a variant management tool. FEACKER aims to shift feedback practices from individual products to the platform level, aligning with SPLE’s emphasis on systematic reuse.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100688"},"PeriodicalIF":1.3,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000769/pdfft?md5=b869deb6da907e4a1dfe8d48a5d09778&pid=1-s2.0-S2665963824000769-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141844941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
WayWise: A rapid prototyping library for connected, autonomous vehicles WayWise：联网自动驾驶汽车快速原型开发库
IF 1.3
Software Impacts Pub Date : 2024-07-08 DOI: 10.1016/j.simpa.2024.100682
Marvin Damschen, Rickard Häll, Aria Mirzai
{"title":"WayWise: A rapid prototyping library for connected, autonomous vehicles","authors":"Marvin Damschen,&nbsp;Rickard Häll,&nbsp;Aria Mirzai","doi":"10.1016/j.simpa.2024.100682","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100682","url":null,"abstract":"<div><p>WayWise is an innovative C++ and Qt-based rapid prototyping library designed to advance the development and analysis of connected, autonomous vehicles (CAVs) and Unmanned Arial Systems (UASs). It was deployed on model-sized cars and trucks as well as full-sized mobile machinery, tractors and UASs. It is actively being used in several European research projects. Developed by the RISE Dependable Transport Systems unit, the library facilitates exploration into safety and cybersecurity aspects inherent to various emerging vehicular applications within road traffic and offroad applications. This non-production library emphasizes rapid prototyping, leveraging commercial off-the-shelf hardware and the different protocols for vehicle-control communication, mainly focusing on MAVLINK. The utility of WayWise in rapidly evaluating complex vehicular behaviors is demonstrated through various research projects, thus contributing to the field of autonomous vehicular technology.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100682"},"PeriodicalIF":1.3,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000708/pdfft?md5=562230ba0e166fc71490d8bcab12c34f&pid=1-s2.0-S2665963824000708-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141607443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adversarial attack defense analysis: An empirical approach in cybersecurity perspective 对抗性攻击防御分析：网络安全视角下的实证方法
IF 1.3
Software Impacts Pub Date : 2024-07-05 DOI: 10.1016/j.simpa.2024.100681
Kousik Barik , Sanjay Misra
{"title":"Adversarial attack defense analysis: An empirical approach in cybersecurity perspective","authors":"Kousik Barik ,&nbsp;Sanjay Misra","doi":"10.1016/j.simpa.2024.100681","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100681","url":null,"abstract":"<div><p>Advancements in artificial intelligence in the cybersecurity domain introduce significant security challenges. A critical concern is the exposure of deep learning techniques to adversarial attacks. Adversary users intentionally attempt to mislead the techniques by infiltrating adversarial samples to mislead the prediction of security devices. The study presents extensive experimentation of defense methods using Python-based open-source code with two benchmark datasets, and the outcomes are demonstrated using evaluation metrics. This code library can be easily utilized and reproduced for cybersecurity research on countering adversarial attacks. Exploring strategies for protecting against adversarial attacks is significant in enhancing the resilience of deep learning techniques.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100681"},"PeriodicalIF":1.3,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000691/pdfft?md5=21bed32ce73b54cc3d2a33e51bf65798&pid=1-s2.0-S2665963824000691-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141607442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cloud databases: A resilient and robust framework to dissolve vendor lock-in 云数据库：消除供应商锁定的弹性和稳健框架
IF 1.3
Software Impacts Pub Date : 2024-07-05 DOI: 10.1016/j.simpa.2024.100680
Vaheedbasha Shaik, Natarajan K.
{"title":"Cloud databases: A resilient and robust framework to dissolve vendor lock-in","authors":"Vaheedbasha Shaik,&nbsp;Natarajan K.","doi":"10.1016/j.simpa.2024.100680","DOIUrl":"10.1016/j.simpa.2024.100680","url":null,"abstract":"<div><p>Vendor lock-in has become a major concern in cloud computing. The term vendor lock-in describes situations where the subscriber cannot move data or services to another cloud vendor. This is due to heavy data volumes, high network bandwidth costs, dependencies, or unacceptable downtime. The proposed vendor lock-in dissolution practice migrates the database effectively in noticeably less time, regardless of database size and with a nominal network bandwidth requirement. Through this new practice, databases can be migrated to very remote regions, even across continents. A real-time implementation of the proposed method presented in this paper.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100680"},"PeriodicalIF":1.3,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266596382400068X/pdfft?md5=3df9efb8b47a45317379ac7ac8d970c4&pid=1-s2.0-S266596382400068X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141623273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bessel_DMD: The numerical code based on the scalar Fresnel–Kirchhoff integration to calculate the diffraction and bessel-like beam by using the DMD Bessel_DMD：基于标量菲涅尔-基尔霍夫积分的数值代码，通过使用 DMD 计算衍射和类贝塞尔光束
IF 1.3
Software Impacts Pub Date : 2024-07-05 DOI: 10.1016/j.simpa.2024.100683
Ting-Han Pei , Yilei Zhang
{"title":"Bessel_DMD: The numerical code based on the scalar Fresnel–Kirchhoff integration to calculate the diffraction and bessel-like beam by using the DMD","authors":"Ting-Han Pei ,&nbsp;Yilei Zhang","doi":"10.1016/j.simpa.2024.100683","DOIUrl":"10.1016/j.simpa.2024.100683","url":null,"abstract":"<div><p>We provide numerical software based on the MATLAB programming language to study the Bessel-like beams generated by special instruments such as DMD. The calculations are based on the scalar Fresnel–Kirchhoff integration within the scope of Fourier Optics. This analysis is particularly important because the addition of higher-order Bessel terms may produce additional unexpected experimental results in some applications. We emphasize the seldom-mentioned imaging characteristic on the lens, where the central point is shifted, and provide numerical software to understand the expression of the Bessel-like function obtained from important theoretical derivation. It also benefits to verify and explain the experimental results.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100683"},"PeriodicalIF":1.3,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266596382400071X/pdfft?md5=b1d6ed6a971b7f11d7abb86e581d9e78&pid=1-s2.0-S266596382400071X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141705985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ANNOTE: Annotation of time-series events 注释：时间序列事件的注释
IF 1.3
Software Impacts Pub Date : 2024-07-04 DOI: 10.1016/j.simpa.2024.100679
René Groh , Jie Yu Li , Nicole Y.K. Li-Jessen , Andreas M. Kist
{"title":"ANNOTE: Annotation of time-series events","authors":"René Groh ,&nbsp;Jie Yu Li ,&nbsp;Nicole Y.K. Li-Jessen ,&nbsp;Andreas M. Kist","doi":"10.1016/j.simpa.2024.100679","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100679","url":null,"abstract":"<div><p>Supervised training of machine learning models heavily relies on accurate annotations. However, data annotation, such as in the case of time-series signals, poses a labor-intensive challenge. Here, we present a new annotation software, Annotation of Time-series Events (ANNOTE), to handle longitudinal, time-series signals as in highly complex physiological events. ANNOTE offers flexibility and adaptability to streamline the annotation process through an intuitive user interface, effectively meeting diverse annotation needs. Users can annotate regions of interest with precision down to a single data point. ANNOTE presents a useful tool to support researchers in handling time-series biomedical data for downstream machine-learning analyses.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100679"},"PeriodicalIF":1.3,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000678/pdfft?md5=264eb9466e32bc08ed480071e4ae3159&pid=1-s2.0-S2665963824000678-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141583245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SSFCM-FWCW: Semi-Supervised Fuzzy C-Means method based on Feature-Weight and Cluster-Weight learning SSFCM-FWCW：基于特征-权值和聚类-权值学习的半监督模糊 C-Means 方法
IF 1.3
Software Impacts Pub Date : 2024-06-28 DOI: 10.1016/j.simpa.2024.100678
Amin Golzari Oskouei , Negin Samadi , Jafar Tanha , Asgarali Bouyer
{"title":"SSFCM-FWCW: Semi-Supervised Fuzzy C-Means method based on Feature-Weight and Cluster-Weight learning","authors":"Amin Golzari Oskouei ,&nbsp;Negin Samadi ,&nbsp;Jafar Tanha ,&nbsp;Asgarali Bouyer","doi":"10.1016/j.simpa.2024.100678","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100678","url":null,"abstract":"<div><p>SSFCM-FWCW (Feature-Weight and Cluster-Weight based Semi-Supervised Fuzzy <em>C</em>-Means) is a soft clustering method. It incorporates supplementary label information to enhance the clustering quality. An adaptive local feature weighting technique is utilized to weight features based on their significance within specific clusters. Additionally, an adaptive weighting technique is applied to diminish the sensitivity to the initial center selection, effectively distinguishing between the effects of various clusters. The conjunction of label information and adaptive weighting results in an optimal fuzzy <em>c</em>-means clustering with an insight into the importance of individual features and clusters. An open-source Matlab implementation of SSFCM-FWCW is available.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100678"},"PeriodicalIF":1.3,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000666/pdfft?md5=ef848f90365139295625e2a7b7f9c617&pid=1-s2.0-S2665963824000666-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141583244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
BERLib: A Basic Encoding Rules implementation BERLib：基本编码规则实施
IF 1.3
Software Impacts Pub Date : 2024-06-28 DOI: 10.1016/j.simpa.2024.100677
Valentin Stangaciu, Cristina Stangaciu
{"title":"BERLib: A Basic Encoding Rules implementation","authors":"Valentin Stangaciu,&nbsp;Cristina Stangaciu","doi":"10.1016/j.simpa.2024.100677","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100677","url":null,"abstract":"<div><p>In this paper we present a Basic Encoding Rules library implemented in three programming languages (C, C++ and C#) that offers encoding and decoding of data types in order to be used in serialization and deserialization processes in communication protocols. The implementation is consistent with the currently active standards and it offers a great degree of scalability. BERLib is also highly documented and significant examples are provided for all the programming languages used. Our work qualifies as an ideal solution for providing data encoding and decoding in communication protocol design especially for Wireless Sensor Networks and Internet of Things.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100677"},"PeriodicalIF":1.3,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000654/pdfft?md5=5f6665f7d053a67133c569f470299bea&pid=1-s2.0-S2665963824000654-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141483955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Accelerating Euler characteristic analysis: A multiprocessing approach with Octo-Voxel patterns and discrete chunk extraction 加速欧拉特征分析：采用八象素模式和离散块提取的多处理方法
IF 1.3
Software Impacts Pub Date : 2024-06-25 DOI: 10.1016/j.simpa.2024.100671
César Eduardo Muñoz-Chávez, Hermilo Sánchez-Cruz
{"title":"Accelerating Euler characteristic analysis: A multiprocessing approach with Octo-Voxel patterns and discrete chunk extraction","authors":"César Eduardo Muñoz-Chávez,&nbsp;Hermilo Sánchez-Cruz","doi":"10.1016/j.simpa.2024.100671","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100671","url":null,"abstract":"<div><p>We present a new library designed to simplify the analysis of Euler characteristics. This program addresses the difficulties involved in generating 3D test objects and the complexities of extracting Octo-Voxel patterns. The library uses a novel method to rapidly generate data and extract descriptors by using effective multiprocessing. Furthermore, we have developed a method for extracting discrete CHUNKS from an image, allowing for separate multiprocessing assessment. This method accelerates the process of combination extraction and offers researchers a quick and effective way to explore Euler characteristics in a variety of applications.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100671"},"PeriodicalIF":1.3,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000599/pdfft?md5=947dfb785ac6c9fcb9f3d29a82469100&pid=1-s2.0-S2665963824000599-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141539341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
deforce: Derivative-free algorithms for optimizing Cascade Forward Neural Networks deforce：优化级联前向神经网络的无衍生算法
IF 1.3
Software Impacts Pub Date : 2024-06-25 DOI: 10.1016/j.simpa.2024.100675
Nguyen Van Thieu , Hoang Nguyen , Harish Garg , Gia Sirbiladze
{"title":"deforce: Derivative-free algorithms for optimizing Cascade Forward Neural Networks","authors":"Nguyen Van Thieu ,&nbsp;Hoang Nguyen ,&nbsp;Harish Garg ,&nbsp;Gia Sirbiladze","doi":"10.1016/j.simpa.2024.100675","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100675","url":null,"abstract":"<div><p>This paper aims to introduce the ‘deforce’ framework, an open-source Python library constituted on top of Numpy, Scikit-Learn, PyTorch, and Mealpy. This framework provides hybrid models that combine derivative-free techniques with Cascade Forward Neural Networks (CFNNs). By inheriting from scikit-learn’s estimator, deforce’s models ensure easy integration into existing machine learning pipelines. It also has many advantages, including a simple installation process, a user-friendly interface, and adaptability to various user requirements. For researchers and practitioners looking to improve CFNN performance with minimal implementation effort, deforce offers a useful and approachable option.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100675"},"PeriodicalIF":1.3,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000630/pdfft?md5=65a0ecd3b6d6b97c16b43bca024a7fcc&pid=1-s2.0-S2665963824000630-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141539342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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
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：604180095
Book学术官方微信