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Ontology-based patent analysis for bike-sharing services: Identifying competitive advantages of a product-service business

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asia pacific MANAGEMENT REVIEW 2024年第4期29卷 384-396页

作者： Trappey, Amy J. C. Trappey, Charles V. Chen, Chieh Hsi Anggrahini, Dewanti Natl Tsing Hua Univ Dept Ind Engn & Engn Management Hsinchu Taiwan Natl Yang Ming Chiao Tung Univ Dept Management Sci Hsinchu Taiwan Inst Teknol Sepuluh Nopember Dept Ind & Syst Engn Surabaya Indonesia

In modern cities, the desire to reduce carbon emissions and minimize energy consumption has led to the growth of bike-sharing services as a community approach to transportation. Key technologies are being developed and integrated into advanced bike-sharing systems. The technologies include hardware, software, and business models that support the services. This study integrates knowledge ontology, keyword extraction, K-means clustering, and a technology-function matrix to analyze the large intellectual property combinations of bike-sharing systems. The first stage of research provides a macrooverview of the current state of bike-sharing technologies. The second stage uses service blueprints to discover practical usages of technology patterns, focusing on the case of YouBike service in Taiwan with the implementation of bicycle locks and bike parking stations. A comprehensive literature review and the collection and analysis of patents forms a domain ontology that describes the interdisciplinary characteristics of bike-sharing depicted by a hierarchical schema. This study describes significant trends and future potential of bike-sharing derived from technology mining perspectives. The macro aspect of patent analysis demonstrates global invention trends, domain knowledge, the major keywords, IPC technology categories, and the innovation status of key technical themes. The highlights of critical R&D hotspots and cold spots are highlighted in the technology function matrix. The micro aspect of patent analysis reveals the success of patent applications in the bike-sharing industry. The results study uses YouBike patent technology as a case example to demonstrate the new perspectives for innovative technologies in the bike-sharing domain. (c) 2024 The Authors. Published by Elsevier B.V. on behalf of College of Management, National Cheng Kung University. This is an open access article under the CC BY license (http://***/licenses/ by/4.0/).

关键词： Patent mining Ontology schema Transdisciplinary engineering management Product service innovation Bike sharing

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An Empirical Study of Cross-Project Pull Request Recommendation in GitHub

An Empirical Study of Cross-Project Pull Request Recommendat...

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asia-pacific conference on software engineering

作者： Wenyu Xu Yao Lu Xunhui Zhang Tanghaoran Zhang Bo Lin Xinjun Mao School of Computer Science and Technology National University of Defense Technology Changsha China

ISBN: (数字)9798331534011

ISBN: (纸本)9798331534028

As a core contribution merge mechanism in distributed collaborative development, pull requests contain valuable knowledge of code evolution and issue resolution. With the co-evolution of multiple projects in a software ecosystem, relevant and similar issues can arise across different projects. Leveraging existing solutions in pull requests (PRs) through cross-project pull request recommendation (CPR) can enrich context knowledge and improve the efficiency of issue resolution. However, the characteristics of CPR and its effectiveness in the process of issue resolution still remain unclear. To bridge this gap, we conduct an empirical study of the CPR on GitHub. We first extract 4,445 CPRs from 2,500 open source projects and quantitatively analyze the characteristics of CPR. Then we conduct a qualitative analysis of sampled CPR cases to understand the influence of CPR. We also use a regression model to explore the impact of CPRs on issue resolution. Our main findings are as follows: (1) Experienced contributors in target projects make most of the CPRs and their CPRs are more timely than inexperienced contributors; (2) In CPR dataset, bugs constitute the largest proportion of target issue types, followed by enhancements, features and questions; (3) Nearly half of the CPRs are accepted by issue participants; (4) A greater number of the CPRs contribute indirectly to solving the target issue by offering solutions and contextual information, rather than providing appropriate code that can be directly applied to the issue; (5) Most of CPR-related factors have a significant impact on issue resolution delay. Among these, recommendation latency has the most significant impact, followed by the type of recommender. Our work has important insights into CPR and offers important guidance for developers on recommending cross-project PRs to resolve the mushrooming issues.

关键词： software maintenance Codes Ecosystems Computer bugs Regression analysis Delays Problem-solving Data mining software development management software engineering

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An Empirical Study on Regression Techniques for software Defect Number Prediction

An Empirical Study on Regression Techniques for Software Def...

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asia-pacific conference on software engineering

作者： Shihan Wang Yuxin He Rongrong Shi Chiyuan Jing Ying Liu Haonan Tong School of Software Engineering Beijing Jiaotong University Beijing China

To investigate the performance of different software defect number prediction (SDNP) models, we compared 22 SDNP models including six count models, five well-known single machine learning techniques, four ensemble learning techniques, four sampling techniques, and three hybrid techniques on 45 defect datasets in terms of fault-percentile-average (FPA), P opt , and root-mean-square-error (RMSE). The experimental results show that 1) count-model based SDNP models usually perform worst; 2) resampling, ensemble learning, and hybrid techniques are generally helpful for improving FPA and P opt ; 3) SHSE outperforms other SDNP models in terms of FPA and P opt .

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Leveraging Generative AI for Accelerating Enterprise Application Development: Insights from ChatGPT

Leveraging Generative AI for Accelerating Enterprise Applica...

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asia-pacific conference on software engineering

作者： Asha Rajbhoj Tanay Sant Akanksha Somase Vinay Kulkarni TCS Research Tata Consultancy Services Pune INDIA

ISBN: (数字)9798331534011

ISBN: (纸本)9798331534028

Enterprise application development faces significant challenges, with each phase of the software development life cycle (SDLC) requiring experts with specific skills. The expertise of the individuals involved, greatly affects the quality and speed of work in each phase. The large size and complexity of modern software systems further exacerbates these problems. Recently, there has been a growing interest in using Generative AI (GenAI) techniques for software engineering tasks. GenAI can help Subject Matter Experts (SMEs) work more efficiently and can help in overcoming skill barriers. By leveraging GenAI, SMEs can save significant time and effort. This paper introduces meta-model based prompting approach to generate enterprise application code leveraging large language models (LLMs). Prompts help in the refinement of input requirements into refined requirements and design specifications using LLMs, ultimately generating code from these specifications. We share our approach and results of applying approach to generate small yet complex applications.

关键词： Codes Generative AI Large language models Subject matter experts Chatbots software systems Complexity theory Faces software engineering software development management

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SRISC: Open Source Soft Processor Side Channel Analysis Attack Framework Using RISC-V 1

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56th International conference on asia pacific Advanced Network, APANConf 2023

作者： Jayasinghe, Darshana Parameswaran, Sri School of Electrical and Computer Engineering The University of Sydney SydneyNSW2006 Australia

ISBN: (数字)9783031511356

ISBN: (纸本)9783031511349

Side channel analysis (SCA) attacks on soft processor systems (such as RISC-V and LEON3) are typically performed on FPGA prototyping boards. For the first time, this paper presents a RISC-V-based soft processor SCA framework (referred to as SRISC) to perform power-based, electromagnetic radiation-based and execution time-based SCA attacks against cryptographic algorithms and to test countermeasures on soft processor systems. The proposed SRISC framework is demonstrated on a commercial side-channel analysis attack board, SASEBO-GIII (referred to as SRISC-SASEBO). SRISC consists of hardware modules to calculate cryptographic operations using hardware circuits. As a case study to test the implementation of a countermeasure, a balanced AES countermeasure is discussed to show the effectiveness of building hybrid countermeasures (which use both hardware and software components–hardware/software co-design) to reduce the information leakage to mitigate power analysis attacks. The software implementation of the balanced AES countermeasure revealed 14 bytes (of 16 bytes) of the secret key in 18,000 encryptions. The balanced hybrid AES countermeasure revealed only eight bytes (of 16 bytes) of the secret key for the same number of encryptions making software-hardware co-design countermeasures more promising to mitigate power analysis attack vulnerabilities. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Field programmable gate arrays (FPGA)

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Success Factors for software Development Projects through Collaboration between Japan and India

Success Factors for Software Development Projects through Co...

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Technology & engineering Management conference - asia pacific (TEMSCON-ASPAC), IEEE

作者： Takashi Ishikawa Naoshi Uchihira Graduate School of Advanced Science and Technology Japan Advanced Institute of Science and Technology Ishikawa Japan

ISBN: (数字)9798350384659

ISBN: (纸本)9798350384666

The importance of developing software through global collaboration has increased in recent years, but such projects are not always successful. Collaborations involving embedded systems development, where a high degree of software and hardware coordination is required and where development depends heavily on tacit knowledge, are especially challenging. This study focuses on software development projects involving collaboration between a client in Japan and a vendor in India. We define success as a situation in which both the client and the vendor enjoy long-term benefits from the project, then identify factors that affect success and propose a methodology for evaluating global collaborative software development projects based on these factors. We then apply our proposed evaluation methodology to 13 actual projects and suggest that project success or failure could be predicted by evaluations based on the proposed methodology. Theoretical contributions of this study include defining nine success factors with clear evaluation criteria, five of which are already recognized in global software development and proposing an evaluation method based on these definitions. The practical contribution is that applying the proposed evaluation methodology can lead to successful projects in practice.

关键词： Embedded systems Correlation engineering management Collaborative software asia Collaboration Companies

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Resource management architecture and technology for coordination of computing and networking in satellite-Terrestrial integrated network 8

Resource management architecture and technology for coordina...

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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： Liu, Xianfeng Song, Yaqin Xu, Hui Xiang, Zihao Wang, Hucheng Cheng, Zhimi CICT Mobile Communication Technology Co Ltd Beijing100083 China Department of Electronic Engineering Tsinghua University Beijing100084 China

ISBN: (纸本)9781510672673

With the development of computing capability onboard, satellite-Terrestrial integrated network presents characteristics such as large scale, complex topology, and heterogeneous and diverse resources, making it difficult to accurately adapt to the resource requirements of different services. This article analyses the diverse and heterogeneous computing and networking resources in satellite-Terrestrial integrated network, and presents an intelligent resource management and control architecture. This architecture aims to achieve intelligent collaborative management of multi-dimensional and multi-domain computing and networking resources in space and ground, and to provide resources for diverse scenarios as needed. Based on the proposed architecture, a knowledge space-based resource management mechanism is proposed to achieve deep integration of computing, data, algorithms, and networks, and to improve the effectiveness of resource orchestration. Meanwhile, a highly dynamic end-To-end network slicing management mechanism is presented to adapt to the differentiated needs and to provide on-demand network services for users. Finally, the experimental results showed that a dynamic deployment policy for the satellite-Terrestrial integrated network can be generated in just 1.3 seconds using the greedy algorithm to meet the computing and networking resource requirements of the service scenario on a scale of 20 satellites, which verified the rationality and effectiveness of the intelligent resource management architecture. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Satellites

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Optimization on Installing Bracket for Fast Handling Trailer of Aircrafts

Optimization on Installing Bracket for Fast Handling Trailer...

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

作者： Hua Qing Zhenfeng Zhao Xianfeng Zhang Yan Li Officer Aviation Maintenance NCO Academy Air Force Engineering University Xinyang China

ISBN: (数字)9798350393682

ISBN: (纸本)9798350393699

The installing bracket is the main load-bearing component of fast handling trailer. Its design plays a key role in the overall quality of fast handling trailer. In order to design the strength and rigidity to meet the requirements of light installing bracket, the paper uses the CATIA software of Dassault to establish the three-dimensional finite element modle of the installing bracket, analyzes it with the finite element analysis (FEA) based on the full load condition, obtains the distribution of stress and displacement. Accroding to the analysis results, the size of the maximum stess concentration part of the installing bracket is optimized, and its optimal design scheme is obtained on the premise of ensuring the strength and rigidity of the installing bracket. The results provide the theoretical basis for its optimal design.

关键词： Solid modeling Deformation Welding software Finite element analysis Rigidity Aircraft manufacture

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Data Flow Testing for PLC Programs via Dynamic Symbolic Execution 28

Data Flow Testing for PLC Programs via Dynamic Symbolic Exec...

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28th asia-pacific software engineering conference (APSEC)

作者： He, Weigang Mao, Xia Su, Ting Huang, Yanhong Shi, Jianqi East China Normal Univ Natl Trusted Embedded Software Engn Technol Res C Shanghai Peoples R China East China Normal Univ Shanghai Key Lab Trustworthy Comp Shanghai Peoples R China

ISBN: (纸本)9781665437844

Programmable logic controllers (PLCs) are broadly used in the safety-critical industrial field, which requires high reliability to avoid catastrophes. Data flow testing (DFT) focuses on data flow relationships in a program and has a stronger fault-detection ability than other control flow-based testing. However, there is no automated testing tool supporting DFT for PLC programs. Hence, we propose an automated data flow testing framework for PLC programs. Our DFT framework is based on dynamic symbolic execution (DSE). Considering the cyclic execution feature of PLC programs, our approach needs reachable states which can be provided by branch testing. Besides, our approach improves testing performance through a novel guided path search algorithm. Furthermore, we evaluate our approach on several programs to demonstrate that this approach is practical and effective.

关键词： PLC Data flow Testing Dynamic symbolic execution

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MEC in IoV: A Review of Resource Issues and Solution Methods * 8

MEC in IoV: A Review of Resource Issues and Solution Methods...

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8th IEEE asia pacific conference on Wireless and Mobile, APWiMob 2023

作者： Obeng, Kobby Asare Ariffin, Sharifah H.S. Muhammad, Nor Aishah Universiti Teknologi Faculty of Electrical Engineering Johor Malaysia Koforidua Technical University Department of Computer Science Ghana

ISBN: (纸本)9798350327861

Multi-access Edge Computing (MEC) has received a lot of traction since its introduction by The European Telecommunications Standards Institute (ETSI) promising the integration of the Telecommunications and Information Technology worlds. The Internet of Vehicles (IoV) is an area that could greatly benefit from the implementation of MEC-based solutions. In this paper we first present an overview of the Internet of Vehicles (IoV) and the key technologies that facilitate its implementation. Next, we categorize varied use cases of Multi-access Edge Computing in the Internet of Vehicles. The results of the categorization show that MEC allows the integration of technologies such as software Defined Networking, Network Functions Virtualization, Service Function Chaining, Blockchain and Machine Learning to improve IoV network topology design, computational capacity and Quality of Service. This review also discusses the implementation of machine learning approaches with respect to network topology, computational capacity and Quality of Service as a new horizon that will breathe new life into the MEC-IoV landscape. © 2023 IEEE.

关键词： Quality of service

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