Proceedings of the 2022 European Symposium on Software Engineering最新文献_第2页

A Novel Cooperative Parallel Multi-Population Optimization Algorithm 一种新的协同并行多种群优化算法

Proceedings of the 2022 European Symposium on Software Engineering Pub Date : 2022-10-27 DOI: 10.1145/3571697.3571711

N. Verma, Pooya Moradian Zadeh, Ziad Kobti

引用次数: 0

Organizational governance: Resolving insufficient practice and quality expectation in Small Software Companies. 组织治理:解决小型软件公司中不足的实践和质量期望。

Proceedings of the 2022 European Symposium on Software Engineering Pub Date : 2022-10-27 DOI: 10.1145/3571697.3571700

Micheal Tuape, P. Iiyambo, Jussi Kasurinen

{"title":"Organizational governance: Resolving insufficient practice and quality expectation in Small Software Companies.","authors":"Micheal Tuape, P. Iiyambo, Jussi Kasurinen","doi":"10.1145/3571697.3571700","DOIUrl":"https://doi.org/10.1145/3571697.3571700","url":null,"abstract":"The quality of software products is among the most prevalent challenges threatening the software development primarily in small software companies (SSCs). These challenges are associated with insufficient practices affecting the production of software and the development processes. This paper explores the role of governance in streamlining software processes and practices to produce better quality software products. In a cross-sectional survey (n = 127), we reached out to software practitioners working in SSCs from four countries. We examined how SSCs engage in oversight and accountability and how SSCs perform management roles and activities, such as controlling, directing, and guiding in the process of developing software. Our findings indicate that although the SSCs minimally embrace governance practices, the smaller companies have a more challenging task embracing governance practices from the complexities arising out of these companies' structures. This study highlights the aspects of governance that need attention in the smaller category of SSCs. It proposes an organizational governance model to facilitate the SSCs in developing governance strategies to take advantage of the benefits of governance during software development.","PeriodicalId":400139,"journal":{"name":"Proceedings of the 2022 European Symposium on Software Engineering","volume":"47 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132285526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pattern recognition methods as a base of development of new instruments for investigations in physical chemistry 模式识别方法是开发物理化学研究新仪器的基础

Proceedings of the 2022 European Symposium on Software Engineering Pub Date : 2022-10-27 DOI: 10.1145/3571697.3573941

I. Suleimenov, Y. Vitulyova, D. Shaltykova, D. Matrassulova, A. Bakirov

引用次数: 0

Using Contracts to Improve Security through Responsibility Bifurcation 使用契约通过责任分岔提高安全性

Proceedings of the 2022 European Symposium on Software Engineering Pub Date : 2022-10-27 DOI: 10.1145/3571697.3571699

Sam Hays, Jules White

引用次数: 0

CNN–based crack detection in oxide layers of hot rolled steel sheet samples for the validation of a pickling process model 基于cnn的热轧钢板氧化层裂纹检测，验证酸洗过程模型

Proceedings of the 2022 European Symposium on Software Engineering Pub Date : 2022-10-27 DOI: 10.1145/3571697.3576937

Sabrina Fleischanderl, M. Javurek, Veronika Putz, Doris Hierzenberger, Helmut Holzer, G. Angeli

{"title":"CNN–based crack detection in oxide layers of hot rolled steel sheet samples for the validation of a pickling process model","authors":"Sabrina Fleischanderl, M. Javurek, Veronika Putz, Doris Hierzenberger, Helmut Holzer, G. Angeli","doi":"10.1145/3571697.3576937","DOIUrl":"https://doi.org/10.1145/3571697.3576937","url":null,"abstract":"Cracks in the oxide layer of steel sheets after hot rolling play an important role during the oxide layer removal with acid in the following pickling process. The time required to remove the oxide layer should increase with the crack distance as the acid is supposed to undercut the oxide layer. In order to validate a corresponding mathematical model, hot rolled steel sample surfaces are analysed in a microscope in a first step. The cracks in the microscope images are segmented using a CNN–based algorithm for semantic segmentation, followed by a post–processing step to determine distances between neighboring cracks. The approach allows an automated crack distance determination over a region 300 times larger than the typical crack distance of approximately 30 µm. In a laboratory pickling simulator, the oxide layer of the samples is removed in a second step. During this process, the sample surface is observed by a camera, allowing to identify the locally varying time for the removal of the oxide layer. In a final step, the local distribution of the crack distances is compared to the local distribution of the pickling time, which should correlate according to the mathematical model.","PeriodicalId":400139,"journal":{"name":"Proceedings of the 2022 European Symposium on Software Engineering","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124908523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Qualitative analysis of the relationship between design smells and software engineering challenges 对设计气味和软件工程挑战之间的关系进行定性分析

Proceedings of the 2022 European Symposium on Software Engineering Pub Date : 2022-10-27 DOI: 10.1145/3571697.3571704

A. Imran, T. Kosar

引用次数: 1

A Cross-domain Data Marketplace for Data Sharing 面向数据共享的跨域数据市场

Proceedings of the 2022 European Symposium on Software Engineering Pub Date : 2022-10-27 DOI: 10.1145/3571697.3571707

Argyro Mavrogiorgou, Vasileios Koukos, Eleftheria Kouremenou, Athanasios Kiourtis, Alexandros Raikos, George Manias, D. Kyriazis

{"title":"A Cross-domain Data Marketplace for Data Sharing","authors":"Argyro Mavrogiorgou, Vasileios Koukos, Eleftheria Kouremenou, Athanasios Kiourtis, Alexandros Raikos, George Manias, D. Kyriazis","doi":"10.1145/3571697.3571707","DOIUrl":"https://doi.org/10.1145/3571697.3571707","url":null,"abstract":"In recent years, vast amounts of data are generated from a plethora of devices, systems, and platforms, covering a wide range of domains. This data increase generates the necessity to access a wide range of technical and technological resources enabling efficient and ready-to-use data analysis solutions, including resources for training and learning in addition to data infrastructure elements, as well as Artificial Intelligence (AI)/Machine Learning (ML) techniques. Current solutions are siloed, and instead of being structured, integrated, and openly accessible from a single-entry point, they still tend to be fragmented and proprietary. To address this gap, the concept of data marketplaces has been generated including a plethora of solutions, in the form of data assets, for offering an access point to the aforementioned services. Though, current data marketplaces lack of genericity since they are tailored and implemented under specific domains, not being able to fully offer a single-entry point towards interdisciplinary ready-to-use data management solutions and assets. This paper describes a cross-domain Data Marketplace, as a unified web-based platform that offers to its users various ready-to-use data management solutions, supporting different kinds of cross-sector assets including datasets, software components, data science notebooks, as well as multimedia content of software solutions among others. Moreover, it showcases how this Data Marketplace has been designed and specified based on existing marketplaces, while it demonstrates the way that its users are able to search and retrieve assets for resolving their business issues, or achieving some of their educational/research/personal goals.","PeriodicalId":400139,"journal":{"name":"Proceedings of the 2022 European Symposium on Software Engineering","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115552150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Verification system based on long-range iris and Graph Siamese Neural Networks 基于远程虹膜和图连体神经网络的验证系统

Proceedings of the 2022 European Symposium on Software Engineering Pub Date : 2022-07-28 DOI: 10.1145/3571697.3571708

Francesco Zola, Jose Alvaro Fernandez-Carrasco, J. L. Bruse, M. Galar, Z. Geradts

{"title":"Verification system based on long-range iris and Graph Siamese Neural Networks","authors":"Francesco Zola, Jose Alvaro Fernandez-Carrasco, J. L. Bruse, M. Galar, Z. Geradts","doi":"10.1145/3571697.3571708","DOIUrl":"https://doi.org/10.1145/3571697.3571708","url":null,"abstract":"Biometric systems represent valid solutions in tasks like user authentication and verification, since they are able to analyze physical and behavioural features with high precision. However, especially when physical biometrics are used, as is the case of iris recognition, they require specific hardware such as retina scanners, sensors, or HD cameras to achieve relevant results. At the same time, they require the users to be very close to the camera to extract high-resolution information. For this reason, in this work, we propose a novel approach that uses long-range (LR) distance images for implementing an iris verification system. More specifically, we present a novel methodology for converting LR iris images into graphs and then use Graph Siamese Neural Networks (GSNN) to predict whether two graphs belong to the same person. In this study, we not only describe this methodology but also evaluate how the spectral components of these images can be used for improving the graph extraction and the final classification task. Results demonstrate the suitability of this approach, encouraging the community to explore graph application in biometric systems.","PeriodicalId":400139,"journal":{"name":"Proceedings of the 2022 European Symposium on Software Engineering","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131646578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0