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共 8688 条记录，以下是411-420 订阅

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Large Language Models Empowered Online Log Anomaly Detection in AIOps

Large Language Models Empowered Online Log Anomaly Detection...

引用

asia-pacific conference on software engineering

作者： Suqiong Zhang Dongyi Fan Lili He Zhejiang Sci-Tech University Hangzhou China

ISBN: (数字)9798331534011

ISBN: (纸本)9798331534028

AIOps has become increasingly crucial in managing modern IT infrastructures, leveraging AI techniques to enhance operational efficiency and reliability in log anomaly detection. However, existing approaches, such as Deeplog, face two significant challenges in log anomaly detection: frequent changes in data patterns due to software and hardware upgrades, and the demand for high efficiency in online scenarios. To address these issues, we propose LogX, a novel method based on large language models and optimized prompting strategies, particularly interactive modes, to promptly correct previously unseen errors. By integrating input-label pairs directly into the prompt, LogX eliminates the need for iterative training processes and additional resource costs, ensuring high adaptability in online scenarios. Furthermore, to maintain control over sensitive data while ensuring privacy and security, we utilize open-source tools and on-premise infrastructure for AIOps system. It seamlessly integrates with LogX's online log diagnostic capabilities, providing a robust solution for companies aiming to manage their software maintenance processes internally.

关键词： Training software maintenance Costs Large language models Hardware software reliability Prompt engineering Iterative methods Anomaly detection software engineering

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Frugal Innovation in SMEs: Challenges and Opportunities of Doing More With Less Strategy

Frugal Innovation in SMEs: Challenges and Opportunities of D...

引用

2022 IEEE Technology and engineering Management Society conference - asia pacific, TEMSCON-ASPAC 2022

作者： Kusumawardhany, Prita Ayu Baihaqi, Imam Karningsih, Putu Dana Institut Teknologi Sepuluh November Surabaya Technology Management Dept Surabaya Indonesia Institut Teknologi Sepuluh November Surabaya Business Management Dept Surabaya Indonesia Institut Teknologi Sepuluh November Surabaya Industrial and System Engineering Dept Surabaya Indonesia

ISBN: (数字)9781665427692

ISBN: (纸本)9781665427692

The concept of frugal innovation (FI) has many positive sides such as how to provide customers with value-added and affordable solutions. Sustainability as one of the opportunities of FI can be created but the negative sides as challenges and positive sides as opportunities have not been explored much. This study aims to identify the challenges and opportunities of FI that will be faced by Small, Medium Enterprises (SMEs) in developing countries. A systematic literature review was used to address the gap. Therefore, it is important to develop a balanced knowledge of the topic based on a comparative perspective to gain a holistic understanding of frugal innovation. First, it points out the understanding of FI, overlapping concepts, and FI in SMEs. Second, it identifies the main challenges and opportunities of FI. © 2022 IEEE.

关键词： Sustainable development

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Who is in Charge here? Understanding How Runtime Configuration Affects software Along with Variables&Constants

Who is in Charge here? Understanding How Runtime Configurati...

引用

asia-pacific conference on software engineering

作者： Chaopeng Luo Yuanliang Zhang Haochen He Zhouyang Jia Teng Wang Shulin Zhou Si Zheng Shanshan Li National University of Defense Technology Changsha China Key Laboratory of Satellite Information Intelligent Processing and Application Research Beijing China National Innovation Institute of Defense Technology Beijing China

ISBN: (数字)9798331534011

ISBN: (纸本)9798331534028

Runtime misconfiguration can lead to software performance degradation and even cause failure. It is usually caused by invalid parameter values set by users. Developers typically perform sanity checks during the configuration parsing stage to prevent invalid parameter values. However, we discovered that even valid values that pass these checks can also lead to unexpected severe consequences. Our study reveals the underlying reason: the value of runtime configuration parameters may interact with other constants and variables when propagated and used, altering its original effect on software behavior. Consequently, parameter values may no longer be valid when encountering complex runtime environments and workloads. Therefore, it is extremely challenging for users to properly configure the software before it starts running. This paper presents the first comprehensive and in-depth study (to the best of our knowledge) on how configuration affects software at runtime through the interaction with constants, and variables (PCV Interaction). Parameter values represent user intentions, constants embody developer knowledge, and variables are typically defined by the runtime environment and workload. This interaction essentially illustrates how different roles jointly determine software behavior. In this regard, we studied 705 configuration parameters from 10 large-scale software systems. We reveal that a large portion of configuration parameters interact with constants/variables after parsing. We analyzed the interaction patterns and their effects on software runtime behavior. Furthermore, we highlighted the risks of PCV interaction and identified potential issues behind specific interaction patterns. Our findings expose the “double edge” of PCV interaction, providing new insights and motivating the development of new automated techniques to help users configure software appropriately and assist developers in designing better configurations.

关键词： Degradation Runtime environment Focusing software performance software systems software software reliability

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Improved model for knowledge representation: TransMR 22

Improved model for knowledge representation: TransMR

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3rd asia-pacific conference on Image Processing, Electronics and Computers, IPEC 2022

作者： Wang, Xuyang Zhang, Yiyuan Department of Computer and Communication Lanzhou University of Technology Lanzhou China Software Engineering Lanzhou University of Technology Lanzhou China

ISBN: (纸本)9781450395786

knowledge graphs have developed rapidly in recent years, and knowledge representation learning is a fundamental task of knowledge graphs, so knowledge representation learning has likewise received widespread attention. Therefore, a series of knowledge representation models based on TransE methods have been proposed by scholars one after another, among which, the translation model TransE has low model complexity, high computational efficiency, and strong semantic representation ability for knowledge representation of triples. However, the TransE method cannot handle dealing with complex relations. In view of this, this paper proposes an improved knowledge representation model TransMR based on the TransE method, which uses the Marxian distance instead of Euclidean distance to calculate the distance between vectors, and builds entity and relationship models in entity space and relationship space respectively, in which the back propagation and nonlinear operation of single layer neural network are used to enhance the semantic connection between them. Meanwhile, during the model training process, experiments are conducted to improve the fault tolerance of negative example triples by using substitution for the most similar entities. © 2022 ACM.

关键词： Vector spaces

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Quantitative Economics Model Research Based on Computer Simulation Digitization

Quantitative Economics Model Research Based on Computer Simu...

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

作者： Lei Shen Economics and Management School Shanghai University of Political Science and Law Shanghai China

ISBN: (数字)9798350393682

ISBN: (纸本)9798350393699

This paper considers the economic system as a kind of birth and death process. Firstly, this paper establishes the control model of the economic system at the macro level based on the actual economic analysis and prediction model. The continuous model facilitates theoretical study. The discrete model is convenient for computer simulation. Then, on the basis of this control model, we find the expression form of minimum asset accumulation rate which is necessary for the sustainable development of national economy. Experiments on the computer prove that both estimation methods are very robust and reliable.

关键词： Economics Analytical models Social networking (online) Computational modeling Computer simulation software algorithms Predictive models

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Developer's Cognitive Effort Maintaining Monoliths vs. Microservices - An Eye-Tracking Study

Developer's Cognitive Effort Maintaining Monoliths vs. Micro...

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asia-pacific conference on software engineering

作者： Georg Simhandl Philipp Paulweber Uwe Zdun Faculty of Computer Science Research Group Software Architecture University of Vienna Vienna Austria fiskaly GmbH Vienna Austria

The microservices architectural style improves flexi-bility and performance but might come at the cost of complexity and cognitive effort. Understanding how architectural design decision affects cognitive effort can support software engineers in designing and building more maintainable systems. However, little research exists measuring the impact of architectural styles on developers' cognitive processes. To the best of our knowledge, no empirical study on navigation and comprehension strategies compares a microservice-based and monolithic variant of a trading system, which is widely used for empirical research on information system evolution. To assess the cognitive processes, we conducted an eye-tracking study (n=42) of typical maintenance tasks. We randomly assigned participants to two groups performing a feature location and a code change task using the trading system's monolithic or microservices-based implementation. Efficacy is significantly higher in the monolith variant. We investigate the reasons and propose a cognitively-grounded method to analyse comprehension strategies and estimate maintenance effort. We measure differences in comprehension strategies (top-down and bottom-up comprehension) and conclude that 1) there is a significant difference in visual effort and time taken to identify a specific feature, and 2) bottom-up comprehension is more frequently applied in microservices than in the monolith variant. Finally, we discuss our findings and their implications for practitioners and the research community.

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Pre-training Retnet of Simulating Entities and Relations as Sentences for knowledge Graph Reasoning

Pre-training Retnet of Simulating Entities and Relations as ...

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Information engineering (ACIE), IEEE asia conference on

作者： Jun Cheng Tao Meng Xiao Ao Xiaohua Wu Midea Building Technology Midea Group (Shanghai) Co. Ltd Shanghai China School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China School of Information and Software Engineering YiBin Park of UESTC Chengdu China

knowledge graphs have diverse applications, but a common challenge across these scenarios is the issue of missing triples. In this paper, we present a knowledge reasoning model based on the Retnet framework, employing a pre-training and fine-tuning approach. During the pre-training phase, we enhance the model's inference capabilities by replacing entities with sentence descriptions as inputs. This novel strategy aims to address the prevalent problem of missing triples in knowledge graphs. For various downstream tasks, we can fine-tune it to meet specific requirements. We conducted extensive experiments on several public datasets, covering triple classification, relationship prediction, and link prediction. The results consistently showcase the exceptional performance of our model. Particularly, in link prediction experiments on the FB15K-237 dataset, we achieved an impressive Mean Reciprocal Rank (MRR) of .356 and a Hits@10 score of 52.4.

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Learning Factory: A Proposed Framework for engineering Learning Ecology by Automated Manufacturing System Kits 30

Learning Factory: A Proposed Framework for Engineering Learn...

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30th International conference on Computers in Education (ICCE)

作者： Chookaew, Sasithorn Raijaidee, Panupong Khanthinthara, Watcharapong Howimanporn, Suppachai Sootkaneung, Warin King Mongkuts Univ Technol Fac Tech Educ Dept Teacher Training Mech Engn North Bangkok Thailand Rajamangala Univ Technol Phra Nakhon Fac Engn Bangkok Thailand

ISBN: (纸本)9786269689002

In the engineering education program, how to help engineering students fully understand the concept and practical procedure in industry, especially, mechatronic engineering students are encouraged to learn many concepts related to industrial, especially the challenges of Industry 4.0 technology. However, the industrial process is complex and lacks learning material covering the industrial manufacturing context, causing engineering students with no experience and knowledge of automated manufacturing technology. It is necessary to educate the next generation of student engineering, but the learning tools needed for education are often expensive, and lack of funding to buy learning material. Most importantly, technology changes and evolves rapidly. This study offers the development of an automated manufacturing system learning kit that can be used to teach engineering education. It consists of three stations: loading, assembly, and warehouse packing. In addition, the learning factory ecosystem presented in this study aims at a much broader use of novel learning methods to introduce mechatronics engineering students to understand the new digital manufacturing process. The study results inspire instructors and educational institutions to prepare engineering students with the knowledge and practical skills based on the learning factory ecosystem.

关键词： Learning outcome engineering education learning kit

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Design of intelligent classified trash can based on STM32 2

Design of intelligent classified trash can based on STM32

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2nd asia-pacific conference on Communications Technology and Computer Science, ACCTCS 2022

作者： Zeng, Fanbao Hu, Xinyu Fu, Siyong Shao, Xiang Peng, Minglong Zte School of Communication and Information Engineering Xinyu University Jiangxi Xinyu China

ISBN: (纸本)9781665400343

Aiming at the problem of low efficiency of waste classification at the present stage, an intelligent classified waste bin based on STM32 single chip microcomputer is designed, which has the functions of automatic identification and classification of waste types. According to the functional requirements, six parts are designed: stepper motor garbage delivery module, garbage full load alarm module, openmv camera identification of multiple types of garbage module, environmental protection video publicity module, multiple communication modules and UCOS real-time operating system. Through the cooperation of each module, it can independently identify the types of garbage for delivery and realize garbage classification. Aiming at the problem of full load of garbage and the rotation angle of different garbage, the hardware part is designed. At the same time, the software design is completed by studying the working principle of openmv. After the prototype is assembled, the test data can be obtained for many times. The garbage identification success rate is high, which can better realize the function of independent garbage classification, so as to enhance the garbage classification ability at the present stage. © 2022 IEEE.

关键词： software design

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Towards Safety Assessment of Robot Behaviors in SMACH

Towards Safety Assessment of Robot Behaviors in SMACH

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asia-pacific conference on software engineering

作者： Eun-Young Kang Miguel Campusano SDU Software Engineering MMMI University of Southern Denmark Odense Denmark

Due to the critical consequences of possible failures, robot systems must be formally verified to guarantee that their behaviors are correct and safe. There is, however, a gap in terms of building safe behaviors between the formal methods and robotic communities as the latter focuses on informal design and its implementation in a manner which is accessible to robotics engineers. In this paper, we present an approach to bridge that gap which enables a tight coupling of informal robot behaviors defined in SMACH, Python state machine API, with formal models through a process of translation. A set of mapping rules, which facilitates transformation is provided and the result is utilized for formal verification of safety properties. We also discuss the current limitations of such work along with recommendations on how these might be addressed.

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