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An Empirical Study on Multi-Source Cross-Project Defect Prediction Models 29

An Empirical Study on Multi-Source Cross-Project Defect Pred...

引用

29th asia-pacific software engineering conference (APSEC)

作者： Liu, Xuanying Li, Zonghao Zou, Jiaqi Tong, Haonan Beijing Jiaotong Univ Sch Software Engn Beijing 100044 Peoples R China

ISBN: (纸本)9781665455374

Multi-source cross-project defect prediction (MSCPDP) refers to transferring defect knowledge from multiple source projects to the target project. MSCPDP has drawn increasing attention of academic and industry communities owing to its advantages compared with single-source cross-project defect prediction (SSCPDP) and some MSCPDP models have been proposed. However, to the best of our knowledge, there are no empirical studies to investigate the effect of different MSCPCP models on the performance of MSCPDP. To comprehensively investigate the performance of different MSCPDP models, we first conduct the literature research about MSCPDP studies, and then identify and compare 7 state-of-the-art MSCPDP models in terms of multiple performance measures including PD, PF, area under ROC curve (AUC), F1, precision, Matthews correlation coefficient (MCC), and Popt20% on 20 publicly available defect datasets. Furthermore, a robust multiple comparison method, i.e., the Scott-Knott effect-size difference (ESD) test, is used for statistical test. The experiment results show that 1) Burak's Filter always performs best in terms of precision, AUC, MCC, Popt20% except for F1;2) MSCPDP models outperform the mean performance of SSCPDP models on most datasets;3) the performance of MSCPDP models still needs to be further improved. We suggest software engineers use MSCPDP models but not SSCPDP models for CPDP and pay more attention to both the distribution difference of different datasets and the problems of sample similarity and weight when building MSCPDP models.

关键词： Empirical software engineering Cross-Project Defect Prediction Multiple Source Datasets software Defect Proneness Mining software Repository

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Low Power Application Design of Adaptive Circuits Based on Deep Learning Algorithm

Low Power Application Design of Adaptive Circuits Based on D...

引用

2024 asia-pacific conference on software engineering, Social Network Analysis and Intelligent Computing, SSAIC 2024

作者： Qi, Huajuan Liu, Hailin Weifang Engineering Vocational College Shandong Weifang262500 China

ISBN: (纸本)9798350393682

The theme of low-power design involves different levels of system algorithm level, logic, circuit, layout, as well as devices and processes in integrated circuit design. How to design a low power consumption, low latency, small area resource consumption, and high accuracy system is crucial for solving the current problem. In recent years, DL (Deep Learning) has been proven to have absolute suriority in achieving the accuracy of different sech recognition tasks. In this regard, this article attempts to design the application of DL algorithm in low-power adaptive circuits. The research results show that the average detection rate in the training set is 96.5%, and the average false detection rate is 4.7%;The average detection rate of the validation set is 91.3%, and the average false detection rate is 7%. It can be seen that the algorithm in this article has completed the circuit design for low-power CNN (Convolutional Neural Network). It can be seen that the adaptive bias circuit in this article does not require additional static current, but instead uses a very small bias current to comnsate for the transistor threshold voltage. This not only reduces the power consumption of the orational amplifier circuit, but also further reduces the power consumption of the entire circuit, meeting the design requirements of low-power circuits. © 2024 IEEE.

关键词： Learning algorithms

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Research and Design of A Personalized Recommendation System for Ceramic Products Based on User Profiling and Cluster Analysis

Research and Design of A Personalized Recommendation System ...

引用

2024 asia-pacific conference on software engineering, Social Network Analysis and Intelligent Computing, SSAIC 2024

作者： Yu, Jiping Li, Boyuan Wuhan University Of Technology School Of Management Wuhan China Wuhan University Of Technology School Of Information Engineering Wuhan China

ISBN: (纸本)9798350393682

In recent years, with the rapid development of ecommerce and the rapid increase of product categories, it is difficult for users to choose suitable products in the face of a large amount of product information on the one hand, and the products cannot be accurately marketed to specific users on the other hand, and this phenomenon is particularly prominent in the marketing of niche products such as ceramic cultural and creative products. This paper designs an intelligent recommendation system for ceramic products based on user portrait technology, which can model the user and product characteristics, calculate the similarity between users and products through collaborative filtering algorithm, and perform clustering analysis on products and users, and better understand users' needs, preferences and behavioral habits by analyzing user portraits to improve user experience and marketing effect. The recommendation system can dynamically store users' real-time behavioral data and provide feedback on users' real-time preferences, and as the system continues to run, the recommendation quality of the recommendation system gradually increases and becomes perfect. The design of this paper can effectively improve the marketing accuracy, reduce the marketing cost, explore potential customers, and provide a basis for decision making in the operation of ceramic cultural and creative products. © 2024 IEEE.

关键词： Recommender systems

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Optimal Design of Carrier Communication Matching in Internet of Things Based on Machine Learning Algorithm

Optimal Design of Carrier Communication Matching in Internet...

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2024 asia-pacific conference on software engineering, Social Network Analysis and Intelligent Computing, SSAIC 2024

作者： Jia, Fengqi Feng, Na Liu, Qianqian Weifang Engineering Vocational College Shandong Qingzhou262500 China

ISBN: (纸本)9798350393682

In Internet of Things (IOT) carrier communication, communication parameters can be used as input and communication performance as output, and the relationship between them can be modeled by machine learning (ML) algorithm, so as to optimize communication parameters. In this paper, an optimal design method of IOT carrier communication matching based on support vector machine (SVM) algorithm is proposed. The purpose of this study is to discuss the performance of the routing algorithm of IOT communication based on SVM, so as to solve the problem of malicious nodes and high packet loss rate faced by traditional routing schemes. The results show that the proposed algorithm has better performance than the traditional routing scheme and K- nearest neighbor (KNN) algorithm, and can keep a relatively low packet loss rate growth when the quantity of malicious nodes increases, thus improving the reliability and stability of IOT communication. Compared with the traditional routing scheme, the effectiveness of this algorithm has obvious advantages, and it can keep a relatively low packet loss rate growth when the quantity of malicious nodes increases. This provides a new idea and method for the research of IOT communication routing algorithm. © 2024 IEEE.

关键词： Support vector machines

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Study on Occupant Damage Analysis and Reliability Optimization under AEB and Active Seat Belt

Study on Occupant Damage Analysis and Reliability Optimizati...

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2024 asia-pacific conference on software engineering, Social Network Analysis and Intelligent Computing, SSAIC 2024

作者： Zhao, Pin Jia, Yunhui Automotive Engineering Research Institute Co. Ltd. Tianjin China China Auto Information Technology Co. Ltd. Tianjin China

ISBN: (纸本)9798350393682

AEB Chinese name for automatic emergency braking, is currently a vehicle safety protection device, and the air bag the same role. With the rapid development of our country' s social economy, the living standard of our people is constantly improving. At present, every family basically owns a car, which causes great traffic pressure in the city, it also increases the probability of traffic accident, and AEB as a kind of vehicle safety protection device, the research on vehicle safety and personnel protection is concerned by the community. However, when an unavoidable collision occurs, the AEB safety protection device will, to a certain extent, cause a change in the posture of the driver or passenger of the vehicle, which will affect the protection function of the restraint system, therefore, in order to effectively prevent vehicle drivers and passengers in the accident occurred during the posture changes, the active seat belt appeared. Based on this, in order to further improve the safety factor of driver and passenger of the restraint system, and effectively realize the maximum safety performance of the restraint system, in this paper, the occupant damage caused by AEB and active seat belt is analyzed, and its reliability is studied. © 2024 IEEE.

关键词： Vehicle safety

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An Interdisciplinary Study of Fuzzy AHP Model for Prioritizing Agile Cost Overhead and Infusion of Machine Learning

An Interdisciplinary Study of Fuzzy AHP Model for Prioritizi...

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2024 asia pacific conference on Innovation in Technology, APCIT 2024

作者： Neve, Jitesh R. Agarwal, Sohit Suresh Gyan Vihar University Dept of Computer Engineering and IT Jaipur India

ISBN: (纸本)9798350361537

In the recent era, most of the software industries are using Agile as a software development process. These industries are using different flavors of Agile Methodology (like-Scrum, Kanban, XP, Lean, SAFe, etc). While practicing Agile methodologies;planning, prioritization and cost overhead estimation are big challenges faced by different stakeholders. Estimating costs and creating budgets are essential components of the project management process. There exists a requirement to focus on factors which are helpful for cost optimization. In other hand a process of Fuzzy Analytic Hierarchy (FAHP) operates on the theory of 'Fuzzy Set'. It can be applied on the Agile software Development (ASD) process. This article reviews the existing fuzzy based Analytical Hierarchy Process (AHP) for Cost Overheads Prioritization and infusion of Machine Learning. The fact is the integration of machine learning algorithms within these systems remains unexplored as of present times. © 2024 IEEE.

关键词： Budget control

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SEED 2019 - Proceedings of the 2nd software engineering Education Workshop 2019, co-located with 26th asia pacific software engineering conference, APSEC 2019

SEED 2019 - Proceedings of the 2nd Software Engineering Educ...

引用

2nd software engineering Education Workshop, SEED 2019

The proceedings contain 6 papers. The topics discussed include: understanding the decision-making of students in requirements engineering course projects;toward industry oriented software engineering project course: a pilot study;teaching object-oriented modeling as a part of programming courses;collaborative learning strategies in software engineering course;literature reviews on applying artificial intelligence/machine learning to software engineering research problems: preliminary;and report on the 2nd software engineering Education Workshop (SEED 2019) co-located with APSEC 2019.

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SceneCommitter: a screen scenario review system using the GitHub and Figma WebAPI in the waterfall based software development 29

SceneCommitter: a screen scenario review system using the Gi...

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29th asia-pacific software engineering conference (APSEC)

作者： Ueda, Mihato Asano, Yousuke Kondo, Hane Sato, Oh Hazeyama, Atsuo Tokyo Gakugei Univ Dept Informat Educ Tokyo Japan Tokyo Gakugei Univ Grad Sch Educ Tokyo Japan

ISBN: (纸本)9781665455374

In software development, screen scenarios (screen diagrams with intuitive transitions) are often created to design the contents. However, there is a problem that it is difficult to review them in conjunction with version control tools such as GitHub. To solve this problem, we propose a system that converts project files created using the screen design system Figma into text format and automatically uploads them to GitHub.

关键词： software development screen scenarios web system review

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Design and Implementation of UART with Effective Serial Communication

Design and Implementation of UART with Effective Serial Comm...

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2024 asia pacific conference on Innovation in Technology, APCIT 2024

作者： Baby Chithra, R. Shreyas, A.R. Mujassim, Noor E Gupta, Monika Prem Kumar, N. New Horizon College of Engineering Dept. of Electronics and Communication Bengaluru India

ISBN: (纸本)9798350361537

The Universal Asynchronous Receiver-Transmitter (UART) remains a fundamental component in modern communication systems, facilitating serial data exchange between devices. This paper presents the design and implementation of UART system optimized for effective serial communication. First, the paper delves into the theoretical underpinnings of UART communication, elucidating its core functionalities and signaling protocols. Subsequently, it discusses key design considerations including baud rate selection, error detection and correction mechanisms, and flow control strategies. The implementation phase outlines the hardware and software architecture employed in realizing the UART system. This encompasses the design of UART transmitter and receiver modules, integration with microcontrollers or FPGA platforms, and software protocols for data framing and error handling. © 2024 IEEE.

关键词： Transmitters

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Small Educational Steps Towards Improving the Status of Women in software engineering 35

Small Educational Steps Towards Improving the Status of Wome...

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35th International conference on software engineering and knowledge engineering, SEKE 2023

作者： Kamthan, Pankaj Shahmir, Nazlie Computer Science and Software Engineering Concordia University Montreal Canada Information Services Canadian Pacific Railway Company Calgary Canada

The women in software engineering continue to face a culture of discord that manifests itself in the form of underrepresentation, unpleasantness, and/or inequitableness. This somewhat dire situation was only exacerbated during the COVID-19 pandemic when the women in software engineering education and profession had to deal with multiple ‘crisis’. The status quo is clearly unacceptable, not least because of pervasiveness of software in society. In that regard, relying on a multipronged approach grounded in a body of knowledge, ethicality, and history, this paper proposes certain basic steps in software engineering courses and projects that could be put into practice for improving "gender literacy" among students. These educational steps are illustrated by anecdotes and examples. © 2023 knowledge Systems Institute Graduate School. All rights reserved.

关键词： software engineering

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