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Study on Optimizing Configuration of Precise Functional Modules for UAV Products Based on Users' Personalized Needs under Big Data

Study on Optimizing Configuration of Precise Functional Modu...

引用

2022 IEEE asia-pacific conference on Image Processing, Electronics and Computers, IPEC 2022

作者： Li, Yingjie Liu, Hang Ren, Zan Li, Jiahuan Li, Bingfang Zhengzhou University of Aeronautics School of Management Engineering Zhengzhou China

ISBN: (纸本)9781665409025

This paper focuses on optimization of the precise configuration of functional modules. Customers usually face difficulties in explaining their personalized requirements clearly as they are lack of professional knowledge. Under the environment of big data, this paper resolves this issue by analyzing the numerous real operating data in order to gain the authentic user needs which may not be discovered in customer investigation. By using fuzzy c-means clustering method to divide the users' expected functions and performance, the classification of user's personalized demand can be obtained. The weights of each category of users are then calculated. Finally, the appropriate functional modules that can meet the customer needs well can be acquired. An example of UVA product is also indicated in this paper to prove the effectiveness and efficiency of the proposed model. © 2022 IEEE.

关键词： Big data

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Critical Understanding of Security Vulnerability Detection Plugin Evaluation Reports 28

Critical Understanding of Security Vulnerability Detection P...

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28th asia-pacific software engineering conference (APSEC)

作者： Beba, Sindre Karlsen, Magnus Melseth Li, Jingyue Zhang, Bing Norwegian Univ Sci & Technol Dept Comp Sci Trondheim Norway Yanshan Univ Sch Informat Sci & Engn Qinhuangdao Hebei Peoples R China

ISBN: (纸本)9781665437844

Integrated development environment (IDE) plugins aimed at detecting web application security vulnerabilities can help developers create secure applications in the first place. Most of such IDE plugins use static source code analysis approaches. Although several empirical studies evaluated the plugins and compared their precision and recall of detecting web application security, few follow-up studies tried to understand the evaluation results. We analyzed more than 20,000 vulnerability reports based on 7,215 distinct test cases spanning 11 categories of web application vulnerabilities to understand the evaluation results of three open-source IDE plugins, namely, SpotBugs, FindSecBugs, and Early Security Vulnerability Detector (ESVD), which aimed at detecting security vulnerabilities of Java-based web applications. Our results identify many factors besides the source code analysis approach that can dramatically bias the detection performance. Based on our insights, we improved the studied plugins. In addition, our study raises the alarm that, without solid root cause analyses, the evaluation and comparisons of security vulnerability detection approaches and tools could be misleading. Thus, we proposed a guideline on reporting the evaluation results of the security vulnerability detection approaches.

关键词： software security Source code analysis Vulnerability detection Empirical study Root cause analysis

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Migrating Individual Applications into software Product Lines Using the Mobioos Forge Platform

Migrating Individual Applications into Software Product Line...

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asia-pacific conference on software engineering

作者： Karim Ghallab Tewfik Ziadi Zaak Chalal RedFabriQ Paris France Sorbonne University - LIP6 - CNRS Paris France

The adoption of software Product Lines in the industry remains a major challenge. This paper presents an experience report focused on the application of a novel tool-based approach called Mobioos Forge. We introduce the vision and operational activities of Mobioos Forge, emphasizing its significance through an examination of the complex process of migrating the ArgoUML application - an open-source codebase exceeding 400KLOCs. We highlight the achieved feature model and detail the feature-to-source code mapping. Additionally, we explain the derivation process used to generate the source code for multiple variants. We discuss the time and effort expended on this migration, showcasing that, even with no prior familiarity with ArgoUML, it took less than 11 hours to successfully migrate the entire application into an SPL.

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DHOR: A data-driven hetero-fusion opportunistic routing protocol for integrated sky-earth IoT 8

DHOR: A data-driven hetero-fusion opportunistic routing prot...

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8th asia pacific conference on Optics Manufacture, APCOM 2023 and 3rd International Forum of Young Scientists on Advanced Optical Manufacturing, YSAOM 2023

作者： Wang, Chaoyu Liu, Liang Ma, Huadong Qin, Zhaotao Liang, Bingyuan Chen, Dong China Academy of Space Technology 104th Youyi Road Beijing China Beijing Key Lab. of Intelligent Telecommunication Software and Multimedia Beijing Univ. of P. and Telecom. Beijing China

ISBN: (纸本)9781510672673

With the rapid development of IoT, more and more sensors are deployed in areas that lack infrastructure such as marine areas. We propose a new ISE-IoT scenario by combining the transmission of IoT data from the ocean via vessels, aircraft or LEO satellites, and use LEO satellite networks to fuse with DTN to fully exploit the advantages of both, and design a new high-performance routing protocol with low latency, low packet loss, and low overhead called DHOR. DHOR is able to carry data through the mobile characteristics of vessels and aircraft carry data and set the transmission threshold according to the remaining data survival time, and when the threshold is reached, the data is efficiently transmitted to the destination through LEO satellite intervention. The simulation experimental results are consistent with the ideal results and reflect the effectiveness of the routing algorithm. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Heterogeneous networks

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Verification Assisted Gas Reduction for Smart Contracts 28

Verification Assisted Gas Reduction for Smart Contracts

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28th asia-pacific software engineering conference (APSEC)

作者： Gao, Bo Shen, Siyuan Shi, Ling Li, Jiaying Sun, Jun Bu, Lei Singapore Univ Technol & Design Singapore Singapore Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China Singapore Management Univ Singapore Singapore

ISBN: (纸本)9781665437844

Smart contracts are computerized transaction protocols built on top of blockchain networks. Users are charged with fees, a.k.a. gas in Ethereum, when they create, deploy or execute smart contracts. Since smart contracts may contain vulnerabilities which may result in huge financial loss, developers and smart contract compilers often insert codes for security checks. The trouble is that those codes consume gas every time they are executed. Many of the inserted codes are however redundant. In this work, we present sOptimize, a tool that optimizes smart contract gas consumption automatically without compromising functionality or security. sOptimize works on smart contract bytecode, statically identifies 3 kinds of code patterns, and further removes them through verification-assisted techniques. The resulting code is guaranteed to be equivalent to the original one and can be directly deployed on blockchain. We evaluate sOptimize on a collection of 1,152 real-world smart contracts and show that it optimizes 43% of them, and the reduction on gas consumption is about 2.0% while in deployment and 1.2% in transactions, the amount can be as high as 954,201 gas units per contract.

关键词： smart contract optimization gas reduction

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Survey on Pains and Best Practices of Code Review 28

Survey on Pains and Best Practices of Code Review

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28th asia-pacific software engineering conference (APSEC)

作者： Dong, Liming Zhang, He Yang, Lanxin Weng, Zhiluo Yang, Xin Zhou, Xin Pan, Zifan Nanjing Univ Software Inst State Key Lab Novel Software Technol Nanjing Peoples R China

ISBN: (纸本)9781665437844

Despite widespread agreement on the benefits of code review, its outcomes may not be as expected. The complications can undermine the purpose of the development process and even destroy the entire development cycle. Both academia and the industrial communities have invested a great deal of time and effort into code reviews. When a project team adheres to the best practices and creates a conducive environment, it is likely that code reviews could be conducted effectively and efficiently. By reviewing peer-reviewed scientific publications and gray literature on code review best practices, we summarized 57 practices as well as 19 code review pains that they address. Our review has shown that following best practices can ease the process of code review considerably. Multiple actionable practices are needed to support code review pains at the same time. To enable the adoption of best practices, OSS and industrial communities alike invest in integrating automatic techniques with code review tools. We hope that this review will provide researchers and practitioners with a comprehensive understanding of code review practices, aiding them in conducting code reviews more successfully.

关键词： Code review best practices code review pains software development

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Towards an Automated AI Based Simulation Framework in Aerospace engineering

Towards an Automated AI Based Simulation Framework in Aerosp...

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Proceedings of the 2025 International conference on High Performance Computing in asia-pacific Region Workshops

作者： Neda Ebrahimi Pour Frank Dressel Sabine Roller Institute of Software Methods for Product Virtualization German Aerospace Center Dresden Germany Institute of Software Methods for Product Virtualization German Aerospace Center Dresden Germany and Chair of Software Methods for Product Virtualization TU Dresden Dresden Germany

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Detecting Common Weakness Enumeration Through Training the Core Building Blocks of Similar Languages Based on the CodeBERT Model

Detecting Common Weakness Enumeration Through Training the C...

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asia-pacific conference on software engineering

作者： Chansol Park R. Young Chul Kim Software Engineering Laboratory Hongik University Sejong Korea

The traditional code analysis approach to measure code quality, such as bad smells, coupling, cohesion, complexity, and common weakness enumeration, was a rule-based mechanism. In current, analyzing code through AI is being studied by many researchers. AI code analysis approach trains code patterns to AI model through labeled code datasets. The problem is that AI models require plenty of training datasets for better performance, but there are not enough datasets to train. To solve this problem, we suggest training an AI model with core building blocks of a target language and similar languages together. We can solve two problems the lack of datasets and the low performance of the AI model. Finally, we will compare the performance of the two models. One is a model trained with a dataset containing only one target language, and the other is a model trained with a dataset containing similar languages.

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Comparison on Blockchain-based Intrusion Detection Systems for Internet of Things

Comparison on Blockchain-based Intrusion Detection Systems f...

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2022 IEEE International conference on knowledge engineering and Communication Systems, ICKES 2022

作者： Mago Vistro, Daniel Kamran Abid, Muhammad Ahmad, Mughees Ali, Mubashir Hassan, Jawad Younas, Akhlaq School of Computing Asia Pacific University of Technology and Innovation Kuala lumpur Malaysia Nfc Institute of Engineering and Technology Department of Computer Science Multan Pakistan Department of Computer Science Zhob Pakistan Lahore Garrison University Department of Software Engineering Lahore Pakistan Air University Multan Campus Department of Computer Science and Engineering Multan Pakistan

ISBN: (纸本)9781665456371

The Internet of Things (IoT) is a cutting-edge concept that unites the Internet with actual physical objects from a variety of industries, such as home automation, manufacturing, human health, and environmental monitoring. Users are now able to use gadgets with Internet access for routine tasks. Along with many advantages, IoT also presents a number of security-related difficulties. The security of the IoT network has grown in importance as the popularity of the Internet of Things increases daily. An IoT network is more secure thanks to encryption and authentication, yet it can be challenging to defend IoT devices from online threats. Cyberattacks on the Internet of Things system not only result in data loss, but they also have the potential to bring the entire system to a standstill. The performance of the network can be negatively impacted by hostile activities, which are easily detected by intrusion detection systems (IDS). To safeguard IoT systems, an efficient intrusion detection system (IDS) is required. Another cutting-edge technology that helps security systems counter the most recent threats is blockchain. In this post, we analysed state-of-the-art blockchain-based intrusion detection methods for Internet of Things devices. New advancements to alleviate security threats are also listed in a table. Finally, we list the major questions brought on by the current restrictions. © 2022 IEEE.

关键词： Internet of things

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Optimization Method for Road Surface Recognition Based on Dynamic Slip Rate Bounds

Optimization Method for Road Surface Recognition Based on Dy...

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software engineering, Social Network Analysis and Intelligent Computing (SSAIC), asia-pacific conference on

作者： Qun Fan Gang Liu Shenyang Aerospace University Shenyang China

ISBN: (数字)9798350393682

ISBN: (纸本)9798350393699

Due to the fixed slip ratio threshold being difficult to balance accuracy and response speed in estimating tire-road friction coefficient, this paper proposes a method that combines a seven degree-of-freedom vehicle dynamics model, a tire kinematics model, and a Kalman filter to estimate lateral and longitudinal forces on the vehicle’s tires. Then, the brush tire model and recursive least squares estimation method are employed to identify the tire-road friction coefficient during overtaking maneuvers. Finally, a dynamic slip ratio boundary is designed to optimize the road recognition algorithm. Simulation analysis shows that this proposed algorithm can accurately identify the tire-road friction coefficient and respond to its changes in a timely manner.

关键词： Social networking (online) Heuristic algorithms Friction Roads software algorithms Estimation Optimization methods

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