Proceedings of the 2021 European Symposium on Software Engineering最新文献_第2页

Systematizing the Meta-Analytical Process in Software Engineering 系统化软件工程中的元分析过程

Proceedings of the 2021 European Symposium on Software Engineering Pub Date : 2021-11-19 DOI: 10.1145/3501774.3501775

M. L. Jaccheri, Zamira Kholmatova, G. Succi

引用次数: 0

Incorporating energy efficiency measurement into CICD pipeline 将能效测量集成到CI / CD管道中

Proceedings of the 2021 European Symposium on Software Engineering Pub Date : 2021-11-19 DOI: 10.1145/3501774.3501777

A. Kruglov, G. Succi, X. Vasquez

引用次数: 2

Alternative Acquisition Functions of Bayesian Optimization in terms of Noisy Observation 基于噪声观测的贝叶斯优化的可选获取函数

Proceedings of the 2021 European Symposium on Software Engineering Pub Date : 2021-11-19 DOI: 10.1145/3501774.3501791

Jia-yi Hu, Yuze Jiang, Jiayu Li, Tianyue Yuan

引用次数: 2

Improving Multiclass Classification of Cybersecurity Breaches in Railway Infrastructure using Imbalanced Learning 利用不平衡学习改进铁路基础设施网络安全漏洞多类分类

Proceedings of the 2021 European Symposium on Software Engineering Pub Date : 2021-11-19 DOI: 10.1145/3501774.3501789

Aleksandr N. Nebaba, I. Savvas, M. Butakova, A. Chernov, Petr S. Shevchuk

{"title":"Improving Multiclass Classification of Cybersecurity Breaches in Railway Infrastructure using Imbalanced Learning","authors":"Aleksandr N. Nebaba, I. Savvas, M. Butakova, A. Chernov, Petr S. Shevchuk","doi":"10.1145/3501774.3501789","DOIUrl":"https://doi.org/10.1145/3501774.3501789","url":null,"abstract":"Machine learning approaches and algorithms are spreading in wide areas in research and technology. Cybersecurity breaches are the common anomalies for networked and distributed infrastructures which are monitored, registered, and described carefully. However, the description of each security breaches episode and its classification is still a difficult problem, especially in highly complex telecommunication infrastructure. Railway information infrastructure usually has a large scale and large diversity of possible security breaches. Today's situation shows the registering of the security breaches has a mature and stable character, but the problem of their automated classification is not solved completely. Many studies on security breaches multiclass classification show inadequate accuracy of classification. We investigated the origins of this problem and suggested the possible roots consist in disbalance the datasets used for machine learning multiclass classification. Thus, we proposed an approach to improve the accuracy of the classification and verified our approach on the really collected datasets with cybersecurity breaches in railway telecommunication infrastructure. We analyzed the results of applying three imbalanced learning methodologies, namely random oversampling, synthetic minority oversampling technique, and the last one with Tomek links. We have implemented three machine learning algorithms, namely Naïve Bayes, K-means, and support vector machine, on disbalances and balanced data to estimate imbalance learning methodologies with comparing results. The proposed approach demonstrated the increase of the accuracy for multiclass classification in the range from 30 to 41%, depending on the imbalanced learning technique.","PeriodicalId":255059,"journal":{"name":"Proceedings of the 2021 European Symposium on Software Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125507902","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

An Exploratory Teaching Proposal of Greek History Independence Events based on STEAM Epistemology, Educational Robotics and Smart Learning Technologies 基于STEAM认识论、教育机器人和智能学习技术的希腊历史独立事件探索性教学方案

Proceedings of the 2021 European Symposium on Software Engineering Pub Date : 2021-11-19 DOI: 10.1145/3501774.3501792

Spyridon Kourtis, Apostolos Xenakis, K. Kalovrektis, Antonios Plageras, Ioanna Chalvantzi

{"title":"An Exploratory Teaching Proposal of Greek History Independence Events based on STEAM Epistemology, Educational Robotics and Smart Learning Technologies","authors":"Spyridon Kourtis, Apostolos Xenakis, K. Kalovrektis, Antonios Plageras, Ioanna Chalvantzi","doi":"10.1145/3501774.3501792","DOIUrl":"https://doi.org/10.1145/3501774.3501792","url":null,"abstract":"Digital technologies help students to delve into the process of scientific discovery. Curriculum integration of STEM contents based on constructivism theories of learning as a context to implement the Science, Technology, Engineering, Mathematics (STEM) epistemology. In this work, we proposed an Inquiry based STEM constructivist teaching and learning methodology for Historical events of the Greek Revolution, enriched with smart learning technologies and engineering practices, while combining Educational Robotics approach. In particular, students design and built a history – line and program their robot to move towards each station, which represent an important timestamp event for Greek Revolution. The robot reads the station's QR code, via a smartphone attached to it, and then returns back to its base. Students retrieve information regarding historical events and according to an APP on their smartphone, they play a knowledge game, concerning these events. This work also highlights, via qualitative results, the additional value that smart learning technologiesand educational robotics give to theoretical subjects, such as History, which should need to be taught in an exploratory way. In that way, students are actively involved in hands – on activities and engineering design process, gaining knowledge from subjects as technology, computer science and engineering.","PeriodicalId":255059,"journal":{"name":"Proceedings of the 2021 European Symposium on Software Engineering","volume":"78 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116273857","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: 2

You don't need a Microservices Architecture (yet): Monoliths may do the trick 你还不需要一个微服务架构(目前):单体架构可以满足你的需求

Proceedings of the 2021 European Symposium on Software Engineering Pub Date : 2021-11-19 DOI: 10.1145/3501774.3501780

Dimitrios Gravanis, George Kakarontzas, V. Gerogiannis

{"title":"You don't need a Microservices Architecture (yet): Monoliths may do the trick","authors":"Dimitrios Gravanis, George Kakarontzas, V. Gerogiannis","doi":"10.1145/3501774.3501780","DOIUrl":"https://doi.org/10.1145/3501774.3501780","url":null,"abstract":"Within the past decade, the advent of cloud computing in terms of infrastructure, technology stacks, availability of services and tooling, along with the gradual improvement of its market environment, has driven many organizations to either consider or migrate many existing software systems to the cloud, either fully or partially. A common predicament in most cases, is the existence of a complex, monolithic application, potentially considered legacy at the time, that was not designed to be cloud-native and therefore requires a degree of redesign/reimplementation in order to benefit from cloud deployment. In such cases, the decomposition of the monolith to a set of loosely coupled, highly cohesive and self-contained microservices is a valid recommendation, provided that the organization is prepared to withstand the additional cost, in terms of human and financial resources, along with the unavoidable development overhead, which is inevitable during the early stages. However, the tendency of the tech world to embrace new trends and jump on hype trains for fear of obsoletion, has led to an excessive adoption of the microservices architecture (MSA), even in cases where such an architecture is not viable for the organization, or does not derive from any business requirements. This research focuses on establishing the position of a traditional monolith in the modern software architecture landscape and determine use cases that can still benefit from this paradigm, as well as use cases that could benefit from a partial or full transition to microservices architectures instead.","PeriodicalId":255059,"journal":{"name":"Proceedings of the 2021 European Symposium on Software Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129872230","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: 1

Merging Live Video Feeds for Remote Monitoring of a Mining Machine 合并实时视频馈送用于矿机远程监控

Proceedings of the 2021 European Symposium on Software Engineering Pub Date : 2021-11-19 DOI: 10.1145/3501774.3501776

Andrew Flangas, J. Sattarvand, S. Dascalu, Fred Harris

引用次数: 1

The Impact of Undefined Behavior on Compiler Optimization 未定义行为对编译器优化的影响

Proceedings of the 2021 European Symposium on Software Engineering Pub Date : 2021-11-19 DOI: 10.1145/3501774.3501781

Zefan Shen

引用次数: 0

An Empirical Evaluation of Machine Learning Algorithms for Indoor Localization using Dual-Band WiFi 基于双频WiFi的室内定位机器学习算法的实证评估

Proceedings of the 2021 European Symposium on Software Engineering Pub Date : 2021-11-19 DOI: 10.1145/3501774.3501790

A. Tahat, Rozana Awwad, Nadia Baydoun, Shurooq Al-Nabih, T. Edwan

{"title":"An Empirical Evaluation of Machine Learning Algorithms for Indoor Localization using Dual-Band WiFi","authors":"A. Tahat, Rozana Awwad, Nadia Baydoun, Shurooq Al-Nabih, T. Edwan","doi":"10.1145/3501774.3501790","DOIUrl":"https://doi.org/10.1145/3501774.3501790","url":null,"abstract":"WiFi based indoor localization systems relying on received signal strength indicator (RSSI) have attained large acceptance over the past few years as mobile devices with WiFi capability are prevalent in everyday routines and practices, this is in view of the demand for low-cost indoor positioning systems (IPSs). Extant RSSI reliant WiFi based IPSs utilize raw RSSI of signals received from access points (APs) to evaluate device locations. However, the particular raw RSSI of signals may readily fluctuate and may be susceptible to interference as a consequence to multipath propagation channels, other wireless local area networks, device diverseness, and noise. To overcome these prevailing issues, we investigate performance enhancement of WiFi fingerprinting-based IPSs for increased accuracy and robustness in positioning over dual-band WiFi (such as IEEE 802.11n) that employs both of the 2.4GHz and 5GHz frequency spectrum bands as a conceivable substitute. To that end, based on empirical concurrent measurements, we conduct a comparative performance analysis of a collection of machine learning (ML) classification algorithms to evaluate their classification capacities in determining the location of a WiFi receiver device in a single and a dual frequency band operation setting. Numerical results demonstrated that in our IPS, the location could be effectively predicted by means of a subset of the collection of considered ML classification algorithms when using the raw RSSI of both of the 2.4GHz and 5GHz frequency bands. Computed evaluation metrics to characterize performance of the IPS served to identify an optimum ML algorithm based on attained results to accurately localize the device, and the existence of dual frequency information renders the positioning process to be more robust.","PeriodicalId":255059,"journal":{"name":"Proceedings of the 2021 European Symposium on Software Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132102789","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

Software Acceleration of the Deformable Shape Tracking Application: How to eliminate the Eigen Library Overhead 可变形形状跟踪应用的软件加速:如何消除特征库开销

Proceedings of the 2021 European Symposium on Software Engineering Pub Date : 2021-11-19 DOI: 10.1145/3501774.3501782

N. Petrellis, Stavros Zogas, P. Christakos, Panagiotis G. Mousouliotis, G. Keramidas, N. Voros, Christos D. Antonopoulos

{"title":"Software Acceleration of the Deformable Shape Tracking Application: How to eliminate the Eigen Library Overhead","authors":"N. Petrellis, Stavros Zogas, P. Christakos, Panagiotis G. Mousouliotis, G. Keramidas, N. Voros, Christos D. Antonopoulos","doi":"10.1145/3501774.3501782","DOIUrl":"https://doi.org/10.1145/3501774.3501782","url":null,"abstract":"Shape tracking is based on landmark detection and alignment. Open-source code and pre-trained models are available for an implementation that is based on an ensemble of regression trees. The C++ Deformable Shape Tracking (DEST) implementation of face alignment that is using Eigen template library for algebraic operations is employed in this work. The overhead of the C++ Eigen library calls is measured and selected computational intensive operations are ported from Eigen implementation to custom C code achieving a remarkable acceleration in the shape tracking application. An important achievement of this work is the fact that the restructured code can be directly implemented with reconfigurable hardware for further speed improvement. Driver drowsiness and distraction detection applications are exploiting shape tracking by measuring landmark distances in order to detect eye blinking, yawning, etc. Fast video processing and accuracy is mandatory in these safety critical applications. The modified software implementation of the original DEST face alignment method presented in this paper, is almost 250 times faster due to the custom implementation of computational intensive vector/matrix operations and rotations. Eigen library is still used in non-time critical parts of the code for compact description and higher readability. Flattening of nested routines and inline implementation is also used to eliminate excessive argument copies and data type checking and conversions.","PeriodicalId":255059,"journal":{"name":"Proceedings of the 2021 European Symposium on Software Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127474528","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: 2