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

共 39366 条记录，以下是21-30 订阅

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Design of an Accessible Music Control Device for Individuals with Disabilities Based on Gesture Recognition 5

Design of an Accessible Music Control Device for Individuals...

引用

5th international conference on Computer engineering and Application (ICCEA)

作者： Yue, Sitong China Jiliang Univ Sch Opt & Elect Technol Hangzhou Peoples R China

ISBN: (纸本)9798350386783;9798350386776

With the consistent advancement of science and technology, the quality of life for individuals has been continuously enhanced. However, due to their physiological limitations, individuals with disabilities have faced difficulties in obtaining equal level of welfare compared with others during the technological progress. In response to the above challenges, this essay will introduce an accessible music control device, which utilizes gesture recognition technology to help individuals with disabilities to lightly control the music software. The principle of this design is to transmit different gesture information (up, down, left, right, front, back, clock-wise, counterclockwise, and fluctuating) read by the gesture recognition sensor PAJ7620U2 to the Arduino Leonardo core processor through the I2C communication serial port. The software program run by the Arduino IDE (Integrated Development Environment) software drives the OLED 0.96 display, and then the recognized gestures will be displayed on the OLED 0.96 screen, enabling the tar-get group to use music software for volume adjustment, track switching and other essential functions.

关键词： gesture recognition disabilities software control Arduino

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Exploring potential implications of intelligent tools for human aspects of software engineering 17

Exploring potential implications of intelligent tools for hu...

引用

17th ieee/ACM international conference on Cooperative and Human Aspects of software engineering (CHASE)

作者： Melegati, Jorge Nascimento, Nicolas Chanin, Rafael Sales, Afonso Wiese, Igor Free Univ Bozen Bolzano Bolzano Italy Pontificia Univ Catolica Rio Grande do Sul Porto Alegre RS Brazil Fed Univ Technol Parana UTFPR Campo Mourao Brazil

ISBN: (纸本)9798400705335

Background. The emergence of tools based on artificial intelligence (AI) to support software development suggests an overhaul on how developers program and interact among themselves. This disruption might bring challenges regarding human and social aspects of the software development process. Objective. This paper is a first exploration of the consequences of AI-based tools for software development teams and their members. Method. We conducted a social science fiction exercise, a sort of thought experiment, narrating two fictional stories about a futuristic software company employing AI-based tools. Then, we evaluated the plausibility of one of the scenarios through a qualitative experiment with 38 students to observe their perception regarding the use of AI-based tools. Results. The stories suggest potential challenges related to the adoption of these tools: a change on how developers perceive themselves, a clash between quantitative and qualitative worker contribution assessment, and the training of future developers to handle the imminent changes on their profession. In the qualitative experiment, we collected evidence supporting negative feelings, such as lack of trust and control and fear of being replaced. We also identified other attitudes and perceptions of developers, such as positive feelings towards AI-based tools. Conclusion. We identified several aspects that might influence the adoption of AI-based tools and their implications for individuals involved. They should be further investigated and represent a challenge for the research on human aspects of software engineering. We also demonstrated the use of social science fiction to explore novel research problems.

关键词： AI for SE social science fiction human aspects of software development qualitative experiment

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Quality Assessment of Virtual Reality software Applications 7

Quality Assessment of Virtual Reality Software Applications

引用

ieee 7th international conference on Advanced Technologies, Signal and Image Processing (ATSIP)

作者： Anwer, Musaab Osamah Zagroubaa, Ezzeddine Univ Tunis El Manar Higher Inst Comp Sci LIMTIC Lab Ariana 2080 Tunisia

ISBN: (纸本)9798350351491;9798350351484

The advent of Virtual Reality (VR) technology has significantly affected most of our life sectors such as entertaining applications, education, gaming, knowledge acquisition, engineering, and science fields, to mention a few. This is due to the innovative ways that VR offers in terms of interactions and the immersive experience with the environment, which is necessarily different from the traditional 2D ways. However, one of the most frequent issues in the VR applications are the approaches used in evaluating the quality of these applications. Hence, this paper proposes VR application for visualizing big and complex biological data. Then, the proposed application is assessed under a variety of VR software evaluation metrics. Questionnaires are distributed to expert biologists aiming at having accurate insights about the quality of the proposed VR application. The metrics used in the assessment are;performance, usability, user engagement, accuracy, and safety. The findings showed promising results that can be adopted by VR developers.

关键词： Virtual Reality VR software Metrics VR Biological Applications software Quality

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Defining Metrics for Evaluating Transparency in software engineering Process 14

Defining Metrics for Evaluating Transparency in Software Eng...

引用

14th international conference on software technology and engineering, ICSTE 2024

作者： Ofem, Paulinus Isong, Bassey Lugayizi, Francis North-West University Department of Computer Science Mmabatho South Africa

ISBN: (纸本)9798350378955

Transparency has become an important non-functional quality requirement of software products and processes. In software engineering, stakeholders, especially software developers and requirements engineers, do not fully know how to benefit from transparency because of the lack of suitable measures and metrics that can be utilised in transparency evaluation and its improvement. Few existing metrics are also poorly defined and, therefore, poorly understood. This paper proposes measures and metrics for evaluating and improving transparency. By integrating the 'define-your-own-model,' the Goal Question Metric and the model-driven engineering paradigms, we provide a comprehensive set of transparency quality measures and metrics that can be used in a transparency improvement programme. © 2024 ieee.

关键词： software quality

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Mutation-Based Deep Learning Framework Testing Method in JavaScript Environment 24

Mutation-Based Deep Learning Framework Testing Method in Jav...

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39th ACM/ieee international conference on Automated software engineering (ASE)

作者： Zou, Yinglong Zhai, Juan Fang, Chunrong Liu, Jiawei Zheng, Tao Chen, Zhenyu Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China Univ Massachusetts Amherst Amherst MA USA

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

In recent years, Deep Learning (DL) applications in JavaScript environment have become increasingly popular. As the infrastructure for DL applications, JavaScript DL frameworks play a crucial role in the development and deployment. It is essential to ensure the quality of JavaScript DL frameworks. However, the bottleneck of limited computational resources in the JavaScript environment brings new challenges to framework testing. Specifically, JavaScript DL frameworks are equipped with various optimization mechanisms (e.g., cache reuse, inference acceleration) to overcome the bottleneck of limited computational resources. These optimization mechanisms are overlooked by existing methods, resulting in many bugs in JavaScript DL frameworks being missed. To address the above challenges, we propose a mutation-based JavaScript DL framework testing method named DLJSFuzzer. DLJSFuzzer designs 13 tensor mutation rules targeting the cache reuse mechanism to generate test input tensors. Besides, DLJSFuzzer designs eight model mutation rules targeting the inference acceleration mechanism to generate test input models. To evaluate the effectiveness of DLJSFuzzer, we conduct experiments on the most widely-used JavaScript DL framework, ***. The experimental results show that DLJSFuzzer outperforms state-of-the-art methods in both effectiveness and efficiency. DLJSFuzzer successfully detects 21 unique crashes and 126 unique NaN & Inconsistency bugs. All detected crashes have been reported to the open-source community, with 12 of them already confirmed by developers. Additionally, DLJSFuzzer has improved by over 47% in model generation efficiency and over 91% in bug detection efficiency compared to all baselines.

关键词： Deep learning framework testing JavaScript environment

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PRECOS: Project-specific Retrieval for Better Code Summarization 40

PRECOS: Project-specific Retrieval for Better Code Summariza...

引用

40th international conference on software Maintenance and Evolution

作者： Zhu, Tingwei Li, Zhong Zhang, Tian Pan, Minxue Li, Xuandong Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China

ISBN: (纸本)9798350395693;9798350395686

Code summarization aims to facilitate code comprehension by automatically generating brief and informative summaries for source code. In software development, different projects often exhibit distinct characteristics. However, existing research frequently overlooks such project-specific knowledge, which may result in sub-optimal summarization performance. In this paper, we propose PRECOS, a retrieval-based method that leverages the historical examples within the project (i.e., internal corpus) for generating better code summaries. First we construct the internal corpus as a datastore, and extend the datastore by retrieving the most relevant examples for the current project from a large-scale external corpus based on the internal corpus. Then during generation, we retrieve the nearest neighbors from the datastore at each decoding step to interpolate the vanilla target-token distribution. For the retrieved neighbors, we introduce a novel locality-aware distance calibration mechanism, which calibrates the retrieval distance based on the locality of the nearest neighbors, thereby providing more accurate predictions. Experimental results demonstrate that PRECOS achieves a substantial improvement of up to 8.5 BLEU scores compared to the model before project-specific enhancement, and can generate better code summaries than other comparison methods while maintaining satisfactory results in additional storage, time overhead, and prediction speed(1).

关键词： Code summarization retrieval augmentation

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SNOPY: Bridging Sample Denoising with Causal Graph Learning for Effective Vulnerability Detection 24

SNOPY: Bridging Sample Denoising with Causal Graph Learning ...

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39th ACM/ieee international conference on Automated software engineering (ASE)

作者： Cao, Sicong Sun, Xiaobing Wu, Xiaoxue Lo, David Bo, Lili Li, Bin Liu, Xiaolei Lin, Xingwei Liu, Wei Yangzhou Univ Yangzhou Jiangsu Peoples R China Singapore Management Univ Singapore Singapore China Acad Engn Phys Mianyang Sichuan Peoples R China Zhejiang Univ Hangzhou Peoples R China Yunnan Key Lab Software Engn Kunming Yunnan Peoples R China

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

Deep Learning (DL) has emerged as a promising means for vulnerability detection due to its ability to automatically derive features from vulnerable code. Unfortunately, current solutions struggle to focus on vulnerability-related parts of vulnerable functions, and tend to exploit spurious correlations for prediction, thus undermining their effectiveness in practice. In this paper, we propose SNOPY, a novel DL-based approach, which bridges sample denoising with causal graph learning to capture real vulnerability patterns from vulnerable samples with numerous noise for effective detection. Specifically, SNOPY adopts a change-based sample denoising approach to automatically weed out vulnerability-irrelevant code elements in the vulnerable functions without sacrificing the label accuracy. Then, SNOPY constructs a novel Causality-Aware Graph Attention Network (CA-GAT) with Feature Caching Scheme (FCS) to learn causal vulnerability features while maintaining efficiency. Experiments on the three public benchmark datasets show that Snopy outperforms the state-of-the-art baselines by an average of 27.22%, 85.89%, and 75.50% in terms of F1-score, respectively.

关键词： Program Analysis Causal Learning Graph Attention Network

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TRIDENT: Detecting SQL Injection Attacks via Abstract Syntax Tree-based Neural Network 24

TRIDENT: Detecting SQL Injection Attacks via Abstract Syntax...

引用

39th ACM/ieee international conference on Automated software engineering (ASE)

作者： Li, Yuanlin Xu, Zhiwei Zhou, Min Wan, Hai Zhao, Xibin Tsinghua Univ Sch Software BNRist KLISS Beijing Peoples R China

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

SQL injection attacks have posed a significant threat to web applications for decades. They obfuscate malicious codes into natural SQL statements so as to steal sensitive data, making them difficult to detect. Generally, malicious signals can be identified by using the contextual information of SQL statements. Such contextual information, however, is not always easily captured. Due to the fact that SQL as a formal language is highly structured, two tokens that are spatially far away may be semantically very close. An effective approach thus should take the structural feature of SQL statements into account when modeling their contextual information. In this paper, we present a novel abstract syntax tree-based neural network approach named TRIDENT for effectively detecting SQL injection attacks. Benefiting from the structural feature delivered by ASTs, TRIDENT realizes superior modeling of contextual information via tree-based positional embedding and well-designed neural networks. TRIDENT is widely evaluated on a public SQL injection dataset and an adversarial sample dataset. The results demonstrate that TRIDENT can significantly outperform the baselines.

关键词： SQL injection detection Abstract syntax tree Neural network

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Efficient Scheduling for Multi-Job Vertical Federated Learning 59

Efficient Scheduling for Multi-Job Vertical Federated Learni...

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59th Annual ieee international conference on Communications (ieee ICC)

作者： Yang, Jingyao Jia, Juncheng Deng, Tao Dong, Mianxiong Soochow Univ Sch Comp Sci & Technol Suzhou 215006 Peoples R China Collaborat Innovat Ctr Novel Software Technol & I Nanjing Peoples R China Muroran Inst Technol Muroran Hokkaido 0508585 Japan

ISBN: (纸本)9781728190549

In recent years, federated learning has emerged as an effective approach for the collaborative learning of decentralized data. Vertical federated learning (VFL) is a scenario of federated learning for cross-silo cooperation, where multiple parties with different features about the same set of data jointly train machine learning models without exposing their raw data. Most existing works of VFL focus on a single-job training of one machine learning model. In this paper, we propose a new framework for multi-job VFL, where multiple independent models are trained simultaneously in a cross-silo environment. We formulate the multi-job VFL scheduling problem and propose an efficient solution based on the rolling horizon method. We conduct extensive experiment to evaluate the performance of the solution. The experimental results show that our algorithm outperforms the other baseline algorithms.

关键词： vertical federated learning multiple jobs scheduling model training

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Beam Spatial Arrangement in Two-Dimensional Phased Array Radar 12

Beam Spatial Arrangement in Two-Dimensional Phased Array Rad...

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12th ieee international conference on Computer science and Network technology, ICCSNT 2024

作者： Song, Weiqiang Zhen, Lu Han, Xing Gao, Jian Xi'An Electronic Engineering Research Institute Xi'an China Xi'An Zhongxing New Software Company Limited Xi'an China

ISBN: (纸本)9798350350791

This paper analyzes the beam spatial arrangement of two-dimensional phased array radar. It defines the coordinate systems involved in beam arrangement, examines the coordinate transformations, and conducts simulation calculations based on engineering design. The findings provide a reference for optimizing radar beam spatial arrangement. © 2024 ieee.

关键词： Antenna phased arrays

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