Zhenyue Long

China Southern Power Grid (China)

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Zheheng Liang

China Southern Power Grid (China)

Guoquan Wu

Institute of Software

Jun Wei

Ningbo University of Technology

Lei Cui

China Southern Power Grid (China)

Wei Chen

Institute of Software

Jieqing Ai

China Southern Power Grid (China)

Xiaoning Chang

State Key Laboratory of Computer Science

Jijun Zeng

China Southern Power Grid (China)

Zhang Jinbo

Beijing Normal University

Xiaojiang Chen

Northwest University

Cooperative Institutions

China Southern Power Grid (China)

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Institute of Software

State Key Laboratory of Computer Science

Power Grid Corporation (India)

Fudan University

Sun Yat-sen University

Beijing Normal University

China Guangzhou Analysis and Testing Center

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Characterizing Flaky Tests in Node.js Applications

2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2023)

Xiaoning Chang Zheheng Liang Guoquan Wu Yu Gao Wei Chen

Regression testing is an important means of assessing the quality of Node.js applications. However, non-deterministic executions inside Node.js framework could make test cases intermittently pass or fail on the same version of code, which are called flaky tests. Flaky tests can cause unreliable test results, and make developers waste a significant amount of time debugging the bugs that do not belong to the target application. In this paper, we conduct an empirical study on 87 flaky tests from 7 popular Node.js applications, and analyze the non-determinism that causes these flaky tests. Through this study, there is a wide range of non-determinism to cause flaky tests, including non-deterministic event triggering order, non-deterministic function calls, non-deterministic process/thread scheduling order, non-deterministic execution of asynchronous tasks and non-deterministic event triggering data. The result reveals that, existing approaches on event race detection are not sufficient for flaky test detection. In future, researchers can design flaky test detection approaches targeted at different categories of non-determinism.

Regression testing

Code coverage

10.1109/ase56229.2023.00025

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アンドロイドソフトウェアによるマルチ特徴連携意思決定のための方法を提案した。【JST・京大機械翻訳】

Jisuanji Gongcheng yu Yingyong (2016)

Wei Lihao Jieqing Ai Zou Hong Cui Lei Zhenyue Long

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MCloud: Efficient Monitoring Framework for Cloud Computing Platforms

Lecture notes in computer science (2017)

Jijun Zeng Zhenyue Long Guiquan Shen Lihao Wei Yunkui Song

10.1007/978-3-319-72389-1_33

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Citations (1)

Demand-side Ubiquitous Electric power Internet of Things: Architecture, Functionalities and Technologies

IEEE Conference Proceedings (2020)

Zhenyue Long Bojian Wen Xiaojiang Chen Jiangyao Wu Zhang Jinbo

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FaultFuzz: A Coverage Guided Fault Injection Tool for Distributed Systems

Wenhan Feng Qiugen Pei Yu Gao Dong Wang Wensheng Dou

Distributed systems are expected to correctly recover from various faults, e.g., node crash / reboot and network disconnection / reconnection. However, faults that occur under special timing can trigger fault recovery bugs that are rooted in incorrect fault recovery protocols and implementations. Existing random and brute-force fault injection approaches are not effective in revealing fault recovery bugs due to the combinatorial explosion of multiple faults in distributed systems.

Fault injection

Reboot

Implementation

Disconnection

Software fault tolerance

10.1145/3639478.3640036

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Multisound source joint localization algorithm for moving targets with multipath coherent sources based on DOA clustering algorithm

Wuqiang Shen Zhenyue Long Lei Cui Jinbo Zhang

The conventional multi-path coherent source moving target location method focuses on signal processing. Although it reduces the location interference, part of the sound source information may become invalid, affecting the location accuracy. Therefore, a joint localization algorithm based on DOA clustering algorithm for multi-path coherent source moving target and multiple sound sources is designed. Map the DOA sound source feature interval of the moving target of multipath coherent source, extract the DOA feature of the multi-path coherent source from the received signal, and provide basic conditions for subsequent sound source localization. Based on the DOA clustering algorithm, a joint localization model of multiple sound sources of source moving targets is constructed. With DOA characteristics as the basic condition, different sound source signals are separated through the clustering algorithm to ensure the accuracy of source moving target localization. Solve the optimal vector of multi sound source coherent source moving target joint positioning array, determine the optimal position of each sound source receiving point in the source moving array, and achieve multi sound source joint precise positioning. Simulation experiments show that the algorithm has higher positioning accuracy and can be applied in real life.

10.1117/12.3038798

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Fitness-guided Resilience Testing of Microservice-based Applications

Zhenyue Long Guoquan Wu Xiaojiang Chen Chengxu Cui Wei Chen

Modern distributed applications are moving toward a microservice architecture, in which each service is developed and managed independently, and new features and updates are delivered continuously. A guiding principle of microservice architecture is that it is vital to anticipate and mitigate a variety of hardware and software failures. In order to test the fault handling capabilities of microservices automatically, this paper presents IntelliFT, a guided resilience testing technique for microservice based applications, which aims to expose the defects in the fault-handling logic effectively within a fixed time limit. The characteristic of IntelliFT is that it leverages existing integration tests of the applications under test to explore the fault space, and decides whether injected faults can lead to severe failures by designing fitness-guided search technique. Our experimental results on a medium-size microservice benchmark system show that the proposed technique is effective, improves the state-of-the-art, and can quickly expose bugs in the recovery logic.

Microservices

Benchmark (surveying)

Resilience

Software fault tolerance

Fault injection

Software bug

10.1109/icws49710.2020.00027

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Citations (7)

Android malware detection method based on multifeature collaborative decision

Jisuanji Gongcheng yu Yingyong (2016)

Wei Lihao Jieqing Ai Hong Zou Lei Cui Zhenyue Long

Android Malware

Android application

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Demand-side Ubiquitous Electric power Internet of Things: Architecture, Functionalities and Technologies

Zhenyue Long Bojian Wen Xiaojiang Chen Jiangyao Wu Zhang Jinbo

The demand side management of power consumption is one of the most important components in fulfilling the promise of smart grid. In such context, the smart metering, monitoring and control terminals close to the customers effectively serve as the devices and components for the implementation of smart functionalities. Currently, to effectively support the operation of energy Internet system and services, the ubiquitous electric power Internet of Things (IoT) that forms a flexible electricity energy allocation and management platform is proposed and developed for promoting the development of integrated diverse energy services and new businesses. This paper presents the demand-side ubiquitous power Internet of Things architecture and key technologies as well as the requirements. In conclusion, the IoT enabled infrastructure can significantly improve the system performance in the future for power utilities.

Metering mode

Home Automation

10.1109/ccdc49329.2020.9164391

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Citations (2)

Recurrent Highway Network-Based Model for Mouse Dynamic Authentication

Lei Cui Zheheng Liang Zhenyue Long Dehua Xie

10.1109/icetis61828.2024.10593748

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