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检索条件"任意字段=19th International Conference on Software Engineering and Knowledge Engineering"

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Flakiness Repair in the Era of Large Language Models 24

Flakiness Repair in the Era of Large Language Models

引用

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

作者： Chen, Yang University of Illinois Urbana-Champaign United States

ISBN: (纸本)9798400705021

Flaky tests can non-deterministically pass or fail regardless of any change to the code, which negatively impacts the effectiveness of the regression testing. Prior repair techniques for flaky tests mainly leverage program analysis techniques to mitigate test flakiness, which only focus on Order-Dependent (OD) and Implementation- Dependent (ID) flakiness with known flakiness patterns and root causes. In this paper, we propose an approach to repair flaky tests with the power of Large Language Models (LLMs). Our approach successfully repaired 79% of OD tests and 58% of ID tests in an extensive evaluation using 666 flaky tests from 222 projects. We submitted pull requests to fix 61 flaky tests;at the time of submission, 19 tests have already been accepted. However, we observed that currently LLMs are ineffective in adequately repairing Non- Order-Dependent (NOD) flaky tests by analyzing 118 of such tests from 11 projects. © 2024 IEEE Computer Society. All rights reserved.

关键词： software testing

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Principle, Structure, and Applications of Gallium Nitride High Electron Mobility Transistors (HEMTs) 19

Principle, Structure, and Applications of Gallium Nitride Hi...

引用

19th international conference on Natural Computation, Fuzzy Systems and knowledge Discovery, ICNC-FSKD 2023

作者： Yu, Fei Zeng, Qi-Ming Song, Rong Tang, Jian Wu, Ya-Ting Shenzhen Polytechnic School of Electronics and Communication Engineering ShenZhen China Shenzhen Polytechnic School of Integrated Circuits ShenZhen China Yancheng Teachers University School of Physical and Electronic Engineering Yancheng China Shanghai University Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai Institute for Advanced Communication and Data Science Shanghai China

ISBN: (纸本)9798350304398

With the development of electronic information technology, new technology fields have posed increasingly high requirements for the voltage and current parameters of transistors. this article analyzes in detail the band structure, electron mobility, and voltage resistance characteristics of gallium nitride materials, and provides the principle and density of the two-dimensional electron gas generated by gallium nitride heterojunctions. the influence of different material structures on gallium nitride heterojunctions is compared and the structure and future improvements of gallium nitride HEMT are proposed. the equivalent circuit model of gallium nitride HEMT is analyzed, which points out that the SPICE model of gallium nitride HEMT is a key technology for future gallium nitride HEMT design. Finally, this article analyzes and prospects the application value of gallium nitride HEMT in the field of electronic information new technologies. © 2023 IEEE.

关键词： High electron mobility transistors

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Automated software Vulnerability Detection Using CodeBERT and Convolutional Neural Network 19

Automated Software Vulnerability Detection Using CodeBERT an...

引用

19th international conference on Evaluation of Novel Approaches to software engineering, ENASE 2024

作者： Mim, Rabaya Sultana Satter, Abdus Ahammed, Toukir Sakib, Kazi Institute of Information Technology University of Dhaka Dhaka Bangladesh

ISBN: (纸本)9789897586965

As software programs continue to grow in size and complexity, the prevalence of software vulnerabilities has emerged as a significant security threat. Detecting these vulnerabilities has become a major concern due to the potential security risks they pose. though Deep Learning (DL) approaches have shown promising results, previous studies have encountered challenges in simultaneously maintaining detection accuracy and scalability. In response to this challenge, our research proposes a method of automated software Vulnerability detection using CodeBERT and Convolutional Neural Network called VulBertCNN. the aim is to achieve both accuracy and scalability when identifying vulnerabilities in source code. this approach utilizes pre-trained codebert embedding model in graphical analysis of source code and then applies complex network analysis theory to convert a function’s source code into an image taking into account both syntactic and semantic information. Subsequently, a text convolutional neural network is employed to detect vulnerabilities from the generated images of code. In comparison to three existing CNN based methods TokenCNN, VulCNN and ASVD, our experimental results demonstrate a noteworthy improvement in accuracy from 78.6% to 95.7% and F1 measure increasing from 62.6% to 89% which is a significant increase of 21.7% and 26.3%. this underscores the effectiveness of our approach in detecting vulnerabilities in large-scale source code. Hence, developers can employ these findings to promptly apply effective patches on vulnerable functions. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Scalability

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REMOTE LASER CUTTING OF METAL FOILS FOR BATTERY ELECTRODES FABRICATION: MODELLING OF thE PROCESS AND EXPERIMENTAL VALIDATION 19

REMOTE LASER CUTTING OF METAL FOILS FOR BATTERY ELECTRODES F...

引用

ASME 2024 19th international Manufacturing Science and engineering conference, MSEC 2024

作者： Liverani, Erica Ascari, Alessandro Angeloni, Caterina Francioso, Michele Cestone, Lorenzo Dexiang, Zha Fortunato, Alessandro Department of Industrial Engineering University of Bologna Bologna Italy

ISBN: (纸本)9780791888117

A significant socioeconomic shift is arising from the world's and Europe's direction towards a radical change in transportation with an increasing demand for electric vehicles. In this context, the definition and the optimization of the processes involved in battery production and assembly are currently under development, and the electrode production steps are key topics. Cutting and trimming of electrodes are two of these relevant processes and the cut quality of the cutting edges is considered the main quality criterion for the success of the process. this high quality is continuously in pursuit of new productivity demands and flexibility requests from Gigafactories, so new technological solutions must be introduced. According to this perspective, laser-based manufacturing is currently the best viable option, making these processes the new standard for producing electric vehicles. Competitiveness, higher productivity, and sustainable production will result from establishing the link between the laser system and cut quality. Following the previous considerations, this paper presents an experimental investigation and a process modeling of remote ablation trimming performed with a single-fiber laser. CUT/NO-CUT threshold was defined for copper and aluminum current collectors, respectively 6 µm and 12 µm in thickness, as well as the process conditions that return spatter, dross and burns. these defects were correlated to specific areas of the CUT process windows with proper differentiation between Al and Cu foils. the presented thermal-based model identifies cutting condition and dross formation and a good accuracy in kerf width prediction was confirmed, which is crucial for reducing resource consumption. the final results allow for the identification of an appropriate process parameter window for both materials. Copyright © 2024 by ASME.

关键词： Trimming

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Application Research on Comprehensive Monitoring System for Deep Accumulated Slope with Underlying Bedding Bedrock 8th

Application Research on Comprehensive Monitoring System for ...

引用

8th international conference on Mineral Resources, Geotechnology and Geological Exploration

作者： Zhou, Zelin Zheng, Jiaming Wang, Kai Liu, Maoyi Li, Feng Jia, Xiaogang China 19th Met Corp Chengdu Chengdu 610000 Sichuan Peoples R China Chongqing Construct Investment Grp Co Ltd Chongqing 400010 Peoples R China

ISBN: (纸本)9783031786921;9783031786907;9783031786891

this study, using the Longwangxi slope in Yunyang as an example, investigates the deformation characteristics of various slope areas through field investigation, engineering analogy, and numerical simulation. the monitoring plan was designed based on these analyses, with monitoring equipment deployed to collect data on surface and deep cumulative displacements in active deformation regions. the real monitoring data validated the conclusions drawn from the engineering analogy and numerical simulation. this research demonstrates that a combination of field investigation, engineering analogy, and numerical simulation can provide practical monitoring indicators and spatial layout for slope monitoring design. For deep accumulated slopes with underlying bedding bedrock, a comprehensive monitoring system that includes surface displacement, deep displacement, and rainfall should be established. the surface displacement is mainly distributed at the slope's front edge, while deep displacement is significant in the middle of the slope, where the soil-rock interface inclination is gentle, and the accumulation body is thick.

关键词： slope monitoring engineering analogy numerical simulation

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EdgeFL: A Lightweight Decentralized Federated Learning Framework 48

EdgeFL: A Lightweight Decentralized Federated Learning Frame...

引用

48th Annual IEEE international Computers, software, and Applications conference (COMPSAC) - Digital Development for a Better Future

作者： Zhang, Hongyi Bosch, Jan Olsson, Helena Hohnstrom Chalmers Univ Technol Gothenburg Sweden Malmo Univ Malmo Sweden

ISBN: (纸本)9798350376975;9798350376968

Federated Learning (FL) has emerged as a promising approach for collaborative machine learning, addressing data privacy concerns. As data security and privacy concerns continue to gain prominence, FL stands out as an option to enable organizations to leverage collective knowledge without compromising sensitive data. However, existing FL platforms and frameworks often present challenges for software engineers in terms of complexity, limited customization options, and scalability limitations. In this paper, we introduce EdgeFL, an edge-only lightweight decentralized FL framework, designed to overcome the limitations of centralized aggregation and scalability in FL deployments. By adopting an edge-only model training and aggregation approach, EdgeFL eliminates the need for a central server, enabling seamless scalability across diverse use cases. Our results show that EdgeFL reduces weights update latency and enables faster model evolution, enhancing the efficiency of edge model learning. Moreover, EdgeFL exhibits improved classification accuracy compared to traditional centralized FL approaches. By leveraging EdgeFL, software engineers can harness the benefits of Federated Learning while overcoming the challenges associated with existing FL platforms/frameworks.

关键词： Federated Learning Machine Learning software engineering Decentralized Architecture

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Gender Diversity in software Development Teams: A Systematic Literature Review 12

Gender Diversity in Software Development Teams: A Systematic...

引用

12th international conference in software engineering Research and Innovation, CONISOFT 2024

作者： Alarcon-Alarcon, Jonatan Perez-Arriaga, Juan Carlos Sanchez-Garcia, Angel J. Hemandez-Gonzalez, Lizbeth A. Universidad veracruzana Facultad de Estadística e Informática Veracruz Xalapa Mexico

ISBN: (纸本)9798331532116

In recent years, social aspects, including gender diversity, have gained increasing prominence in various fields, including software engineering. Gender diversity has emerged as a significant area of interest within the industry;however, its impact on development teamwork environments remains subject to mixed perceptions among team members. We conducted an examination of gender diversity in development teams, focusing on member collaboration and team performance. through a systematic literature review encompassing 30 studies from the last five years, we explored the advantages and challenges faced by development teams when incorporating gender diversity into their work environment. the findings of our review suggest that gender diversity promotes greater cohesion within teams and contributes to a more conducive work environment. Moreover, it enhances critical aspects such as innovation, creativity, and product quality, ultimately boosting team performance. However, gender-diverse profiles encounter unique barriers that hinder their retention within the industry. these barriers include a lack of opportunities to assume key roles, gender discrimination, biases, and insufficient recognition of their contributions. Our study highlights the multifaceted nature of gender diversity in development teams, underscoring both its positive impacts and the challenges that need to be addressed to fully leverage its potential in the software engineering domain. © 2024 IEEE.

关键词： Gender diversity software development teams Systematic Literature Review

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19th EAI international conference on Security and Privacy in Communication Networks, SecureComm 2023

19th EAI International Conference on Security and Privacy in...

引用

19th EAI international conference on Security and Privacy in Communication Networks, SecureComm 2023

ISBN: (纸本)9783031649530

the proceedings contain 51 papers. the special focus in this conference is on Security and Privacy in Communication Networks. the topics include: CyberEA: An Efficient Entity Alignment Framework for Cybersecurity knowledge Graph;DNN Architecture Attacks via Network and Power Side Channels;invisibility Spell: Adversarial Patch Attack Against Object Detectors;Meta Perturbation Generation Network for Text-Based CAPTCHA;model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks;unsupervised Multi-criteria Adversarial Detection in Deep Image Retrieval;VRC-GraphNet: A Graph Neural Network-Based Reasoning Framework for Attacking Visual Reasoning Captchas;an Adaptive Authentication Protocol for Internet of Vehicles Based on Vehicle Density;Discovering and Understanding the Security Flaws of Authentication and Authorization in IoT Cloud APIs for Smart Home;optimizing Lightweight Intermittent Message Authentication for Programmable Logic Controller;byzantine Protocols with Asymptotically Optimal Communication Complexity;demystifying Blockchain Scalability: Sibling Chains with Minimal Interleaving;VDABSys: A Novel Security-Testing Framework for Blockchain Systems Based on Vulnerability detection;anonymous Key Issuing Protocol with Certified Identities in Identity-Based Encryption;Batch Lattice-Based Designated-Verifier ZK-SNARKs for R1CS;certificateless Aggregate Signature Without Trapdoor for Cloud Storage;efficient Zero knowledge for Regular Language;enabling Fast Settlement in Atomic Cross-Chain Swaps;HeSUN: Homomorphic Encryption for Secure Unbounded Neural Network Inference;Optimization of Functional Bootstraps with Large LUT and Packing Key Switching;an Authentication Algorithm for Sets of Spatial Data Objects;An Efficient Private Information Retrieval Protocol Based on TFHE;mShield: Protecting In-process Sensitive Data Against Vulnerable third-Party Libraries;password Cracking by Exploiting User Group Information.

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ELECTROHYDRODYNAMIC JET PRINTING MECHANISMS AND APPLICATIONS TO FLEXIBLE ELECTRONIC DEVICES 19

ELECTROHYDRODYNAMIC JET PRINTING MECHANISMS AND APPLICATIONS...

引用

ASME 2024 19th international Manufacturing Science and engineering conference, MSEC 2024

作者： Chang, Tianlong Wang, Zaiyu Tian, Xiaoqing Ma, Dingyifei Hussain, Shahid Xia, Lian Han, Jiang School of Mechanical Engineering Hefei University of Technology Anhui Hefei230009 China Anhui Engineering Laboratory of Intelligent CNC Technology and Equipment Anhui Hefei230009 China

ISBN: (纸本)9780791888100

In the field of biomedical devices and their applications, electrohydrodynamic jet (E-Jet) printing plays a crucial role in the fabrication of next-generation fine medical devices by virtue of its high resolution and precise control. this study focuses on optimizing the electrohydrodynamic jet printing fabrication process for flexible circuits using silver nanoparticles (AgNPs) on flexible substrates. In order to control the relationship between high preparation accuracy and low energy consumption, the working and geometrical parameters of the experimental process, such as voltage, printing speed and working height, are then explored in relation to the prepared circuits. the different states of the printing process are demonstrated in conjunction with computational fluid dynamics studies, and the causes of Taylor cone formation, cone-jet generation, jet rupture and droplet expansion are explained. the results show that the preparation of silver nanoparticle circuits using E-Jet printing technology can achieve micron-level discrimination and low energy consumption flexible circuits by regulating the process parameters, and the prepared flexible silver circuits have achieved 500 severe cyclic bending tests of 120° in the bending cycle. the results of this study provide a simple and stable solution for the preparation of E-Jet printed flexible circuits and offer a viable strategy for the fabrication of high-resolution biomedical devices. © 2024 by ASME.

关键词： Silver nanoparticles

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Identifying software engineering Challenges in software SMEs: A Case Study in thailand 29

Identifying Software Engineering Challenges in Software SMEs...

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29th IEEE international conference on software Analysis, Evolution and Reengineering (SANER)

作者： Ragkhitwetsagul, Chaiyong Krinke, Jens Choetkiertikul, Morakot Sunetnanta, thanwadee Sarro, Federica Mahidol Univ Fac Informat & Commun Technol ICT SERU Salaya Thailand UCL CREST UCL Comp Sci London England

ISBN: (纸本)9781665437868

Small and medium-sized software enterprises (SSMEs) are a vital part of emerging markets. Due to their size, they are not capable of adopting advanced software engineering techniques or automated software engineering tools in the same way large and ultra-large companies are. We study the software engineering challenges in SSMEs in thailand, an emerging market in software development, using semi-structured interviews with four SSMEs. After performing a thematic analysis of the interview transcripts, we found a number of common challenges such as lack of testing, code-related issues, and inaccurate effort estimation. We observed that in order to introduce advanced automated software engineering tools and techniques, SSMEs need to adopt contemporary best practices in software engineering like automated testing, continuous integration and automated code review. Moreover, we suggest that software engineering research engage with SSMEs to enable them to improve their knowledge and adopt more advanced software engineering practices.

关键词： empirical study case study software SMEs

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