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检索条件"任意字段=IEEE International Conference on Software - Science, Technology and Engineering 2005"

共 39461 条记录，以下是91-100 订阅

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An Electrostatic Integral Equation Method Compatible with Non-Conformal Meshes

An Electrostatic Integral Equation Method Compatible with No...

引用

2024 ieee international conference on Computational Electromagnetics, ICCEM 2024

作者： Pang, Zhong Y. Zhu, Bo O. School of Electronic Science and Engineering Nanjing University Nanjing210023 China

ISBN: (纸本)9798350383317

Numerical analysis of electrostatic field problems is widely demanded in science and engineering. Boundary element methods based on integral equations are popular due to its high efficiency. Conventional boundary element methods require conformal meshing on the interface between two dielectric objects, which is more complicated than non-conformal meshing in terms of mesh generation. This paper presents an integral method compatible with non-conformal meshes on the interface between contacting objects, thus reducing the meshing complexity for dielectric objects in contact. Numerical tests and comparison with traditional methods are shown in this paper also. © 2024 ieee.

关键词： Integral equations

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Knowledge Graph Driven Inference Testing for Question Answering software 24

Knowledge Graph Driven Inference Testing for Question Answer...

引用

44th ACM/ieee international conference on software engineering, ICSE 2024

作者： Wang, Jun Li, Yanhui Chen, Zhifei Chen, Lin Zhang, Xiaofang Zhou, Yuming Nanjing University State Key Laboratory for Novel Software Technology China School of Computer Science and Engineering Nanjing University of Science and Technology China School of Computer Science and Technology Soochow University China

ISBN: (纸本)9798400702174

In the wake of developments in the field of Natural Language Processing, Question Answering (QA) software has penetrated our daily lives. Due to the data-driven programming paradigm, QA software inevitably contains bugs, i.e., misbehaving in real-world applications. Current testing techniques for testing QA software include two folds, reference-based testing and metamorphic testing. This paper adopts a different angle to achieve testing for QA software: we notice that answers to questions would have inference relations, i.e., the answers to some questions could be logically inferred from the answers to other questions. If these answers on QA software do not satisfy the inference relations, an inference bug is detected. To generate the questions with the inference relations automatically, we propose a novel testing method Knowledge Graph driven Inference Testing (KGIT), which employs facts in the Knowledge Graph (KG) as the seeds to logically construct test cases containing questions and contexts with inference relations. To evaluate the effectiveness of KGIT, we conduct an extensive empirical study with more than 2.8 million test cases generated from the large-scale KG YAGO4 and three QA models based on the state-of-the-art QA model structure. The experimental results show that our method (a) could detect a considerable number of inference bugs in all three studied QA models and (b) is helpful in retraining QA models to improve their inference ability. © 2024 ACM.

关键词： Knowledge graph

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DAPSys software 6

DAPSys Software

引用

6th Parul international conference on engineering and technology, PICET 2024

作者： Thakkar, Vidhi Dangar, Rahul Singh, Manjot Patel, Nidhi Department of Computer Science and Engineering Parul University Vadodara India

ISBN: (纸本)9798350369748

DAPSys software is a system software that will perform detection, analysis, and protection by providing features like graphical password authentication, VPN detection, traffic analysis by packetsniffing, RFID blocking, and firewall to the organizations. The proposed project is a system software that provides a comprehensive set of security features for enhanced protection against unauthorized access and malicious attacks. The software includes a graphicalpassword authentication system that utilizes images to generate strong and memorable passwords. The traffic analysis feature monitors network traffic to identify potential security threats and provide insights fortroubleshooting. The VPN detection feature ensures thatall traffic passes through secure channels, while the RFID blocking feature protects against unauthorized access via radio frequency identification technology. Finally, the firewall feature provides an additional layer of protection by filtering out unwanted traffic and blocking potential threats. This offers comprehensive system software solutions, with its array of security features, DAPSys aims to enhance protection against unauthorized access and malicious attacks by together providing organizations with a robust and versatile safeguarding system. © 2024 ieee.

关键词： Radio frequency identification (RFID)

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An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles 24

An Exploratory Investigation of Log Anomalies in Unmanned Ae...

引用

44th ACM/ieee international conference on software engineering, ICSE 2024

作者： Wang, Dinghua Li, Shuqing Xiao, Guanping Liu, Yepang Sui, Yulei He, Pinjia Lyu, Michael R. University of Technology Sydney Australia Southern University of Science and Technology China The Chinese University of Hong Kong Hong Kong Nanjing University of Aeronautics and Astronautics China Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Department of Computer Science and Engineering China The University of New South Wales Australia Shenzhen China Shenzhen Research Institute of Big Data China

ISBN: (纸本)9798400702174

Unmanned aerial vehicles (UAVs) are becoming increasingly ubiqui-tous in our daily lives. However, like many other complex systems, UAVs are susceptible to software bugs that can lead to abnormal system behaviors and undesirable consequences. It is crucial to study such software bug-induced UAV anomalies, which are often mani-fested in flight logs, to help assure the quality and safety of UAV systems. However, there has been limited research on investigating the code-level patterns of software bug-induced UAV anomalies. This impedes the development of effective tools for diagnosing and localizing bugs within UAV system code. To bridge the research gap and deepen our understanding of UAV anomalies, we carried out an empirical study on this subject. We first collected 178 real-world abnormal logs induced by soft-ware bugs in two popular open-source UAV platforms, i.e., PX4 and Ardupilot. We then examined each of these abnormal logs and com-piled their common patterns. In particular, we investigated the most severe anomalies that led to UAV crashes, and identified their features. Based on our empirical findings, we further summarized the challenges of localizing bugs in system code by analyzing anoma-lous UAV flight data, which can offer insights for future research in this field. © 2024 ACM.

关键词： Antennas

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Systems engineering Approach for Compliant Over-The-Air Update Development 4

Systems Engineering Approach for Compliant Over-The-Air Upda...

引用

4th ieee international conference on Recent Advances in Systems science and engineering, RASSE 2024

作者： Henle, Jacqueline Otten, Stefan Sax, Eric FZI Research Center for Information Technology Berlin Germany FZI Research Center for Information Technology Karlsruhe Germany Karlsruhe Institute of Technology Karlsruhe Germany

ISBN: (纸本)9798331528263

A broad spectrum of technical innovations influences the automotive industry. Vehicles are increasingly governed by software, enabling continuous development over the entire product life cycle. In this context, software updates, especially those conducted Over The Air (OTA), represent a significant technological advancement. Regularly implementing OTA updates enhances the sustainability of vehicles as they lead to the possibility of keeping cars continuously functional, safe, secure, and performant. Requirements for OTA updates, their development, and implementation are formulated in industry standards and regulations. With the entry into force of UN Regulation 156, manufacturers operating in the member countries must establish processes for the development and overall management of OTA updates. At the same time, there are numerous other standards that apply in the industry. Furthermore, development process models and standardized approaches, such as the V-model for systems and software engineering, are widely adopted. Following the aim to develop a framework that focuses on secure and efficient OTA updates while adhering to legal and industry-specific requirements, a unified process model is presented in this paper. Requirements from the ISO 24089 standard and the UN Regulation 156 are extracted for that purpose. Interrelationships and overlaps between them, and further applicable standards for vehicle design, system, and software development are identified. Processes and work products not yet covered by other norms and legal guidelines are extracted. These activities are then linked content-wise and organizationally to the established V-model. The resulting integrated concept provides a basis for compliant and efficient software update management. © 2024 ieee.

关键词： Automotive industry

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'Organizational Role and Stress Level of Employees in software Companies' 9

'Organizational Role and Stress Level of Employees in Softwa...

引用

9th international conference on science, technology, engineering and Mathematics, ICONSTEM 2024

作者： Gopi, E. Jeppiaar Engineering College Mba Dept Chennai India

ISBN: (纸本)9798350365092

The primary focus of the recruitment division in every company is to fill vacant positions as quickly as possible. However, they fail to recognize the long-term consequences of this approach. On one hand, the staffing department is achieving high productivity and maintaining market presence. On the other hand, they overlook the negative impact of not providing the necessary knowledge and interest in recruitment. This damage is a result of the immense pressure faced by recruiters and the demonization caused by unrealistic targets. Over time, this damage severely affects the consultancy's reputation and potential. The current study examines the various factors contributing to the stress experienced by IT employees. Its objective is to assess the effectiveness of stress management in enhancing employee productivity in software companies. Additionally, it aims to analyze the organizational role in stress levels and discuss the factors that contribute to employee stress. The study also proposes measures to prevent distress within the organization. © 2024 ieee.

关键词： Personnel

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Can we Knapsack software Defect Prediction? Nokia 5G Case 23

Can we Knapsack Software Defect Prediction? Nokia 5G Case

引用

45th ieee/ACM international conference on software engineering (ICSE)

作者： Stradowski, Szymon Madeyski, Lech Nokia Mobile Networks Radio Frequency Wroclaw Poland Wroclaw Univ Sci & Technol Dept Appl Informat Wroclaw Poland

ISBN: (纸本)9798350322637

As software products become larger and more complex, the test infrastructure needed for quality assurance grows similarly, causing a constant increase in operational and maintenance costs. Although rising in popularity, most Artificial Intelligence (AI) and Machine Learning (ML) software Defect Prediction (SDP) solutions address singular test phases. In contrast, the need to address the whole software Development Life Cycle (SDLC) is rarely explored. Therefore in this paper, we define the problem of extending the SDP concept to the entire SDLC, as this may be one of the significant next steps for the field. Furthermore, we explore the similarity between the defined challenge and the widely known Multidimensional Knapsack Problem (MKP). We use Nokia's 5G wireless technology test process to illustrate the proposed concept. Resulting comparison validates the applicability of MKP to optimize the overall test cycle, which can be similarly relevant to any large-scale industrial software development process.

关键词： artificial intelligence software defect prediction software testing continuous integration software development life cycle Nokia 5G

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Applying Transformer Models for Automatic Build Errors Classification of Java-Based Open Source Projects 24

Applying Transformer Models for Automatic Build Errors Class...

引用

46th international conference on software engineering: Companion, ICSE-Companion 2024

作者： Lee, Jonathan Li, Mason Hsu, Kuo-Hsun Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Department of Computer Science National Taichung University of Education Taichung Taiwan

ISBN: (纸本)9798400705021

In open-source development, encountering build failures is a common challenge. Addressing these issues requires analyzing the causes of errors and developing solutions for fixing them. In this work, we fine-tuned Google's BERT, a well-known language model excellent in transfer learning, to address build issues in Gradle Java projects. Our strategy utilizes this model to classify error logs and identify fixing solutions. This approach extends our previous work, Gradle ACFix, an automated build error fixing system, to explore the potential of using machine learning to classify error types and identify appropriate fixing strategies for software projects. We gathered a dataset of 11,483 open-source Gradle Java projects from GitHub for this research. The model's evaluation on the error logs of these projects demonstrated a high accuracy rate exceeding 98%. © 2024 ieee Computer Society. All rights reserved.

关键词： Errors

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Characterising Contributions that Coincide with Vulnerability Mitigation in NPM Libraries 22

Characterising Contributions that Coincide with Vulnerabilit...

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22nd ieee/ACIS international conference on software engineering Research, Management and Applications, SERA 2024

作者： Rojpaisarnkit, Ruksit Damrongsiri, Hathaichanok Treude, Christoph Ouni, Ali Kula, Raula Gaikovina Nara Institute of Science and Technology Japan Singapore Management University Singapore Singapore ETS Montreal University of Quebec Canada

ISBN: (纸本)9798350391343

With the urgent need to secure supply chains among Open Source libraries, attention has focused on mitigating vulnerabilities detected in these libraries. Although awareness has improved recently, most studies still report delays in the mitigation process. This suggests that developers still have to deal with other contributions that occur during the period of fixing vulnerabilities, such as coinciding Pull Requests (PRs) and Issues, yet the impact of these contributions remains unclear. To characterize these contributions, we conducted a mixed-method empirical study to analyze NPM GitHub projects affected by 554 different vulnerability advisories, mining a total of 4,699 coinciding PRs and Issues. We believe that tool development and improved workload management for developers have the potential to create a more efficient and effective vulnerability mitigation process. © 2024 ieee.

关键词： Open source software

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Understanding and Enhancing Issue Prioritization in GitHub 38

Understanding and Enhancing Issue Prioritization in GitHub

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38th ieee/ACM international conference on Automated software engineering (ASE)

作者： He, Yingying Yang, Wenhua Pan, Minxue Hussain, Yasir Zhou, Yu Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing Peoples R China Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China

ISBN: (纸本)9798350329964

GitHub has become a prominent platform for open source software development, facilitating collaboration and communication among a diverse group of contributors. Efficient issue tracking is a crucial aspect of managing projects on GitHub, and labels serve as one of the primary mechanisms for issue prioritization, while various other issue features are also utilized by issue handlers for the same purpose. However, in large projects, prioritizing issues remains a challenge, and the efficacy of using labels or other issue features for prioritization is not well understood. To address this knowledge gap, we conduct a comprehensive empirical study that investigates the role of labels in GitHub issue prioritization, examines the influence of various issue features on prioritization, and assesses the performance of different ranking algorithms based on these impactful features. Our study, conducted on a dataset comprising data from over 1.5 million issues across diverse GitHub projects, provides valuable insights for issue handling in open source platforms and offers guidance for future research in this domain. Specifically, the study reveals the limited effectiveness of labels in issue prioritization, highlights the significance of certain issue features in the prioritization process, and compares the performance of various ranking algorithms for issue prioritization to support issue handlers.

关键词： GitHub issue tracking issue

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