2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)最新文献_第6页

Within-Project Software Aging Defect Prediction Based on Active Learning 基于主动学习的项目内软件老化缺陷预测

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00037

Mengting Liang, Dimeng Li, Bin Xu, Dongdong Zhao, Xiao Yu, Jianwen Xiang

{"title":"Within-Project Software Aging Defect Prediction Based on Active Learning","authors":"Mengting Liang, Dimeng Li, Bin Xu, Dongdong Zhao, Xiao Yu, Jianwen Xiang","doi":"10.1109/ISSREW53611.2021.00037","DOIUrl":"https://doi.org/10.1109/ISSREW53611.2021.00037","url":null,"abstract":"Long-running software systems tend to exhibit performance degradation and increase failure rate, and the phenomenon is known as software aging. The bugs that cause the aging phenomenon are called Aging-Related Bugs (ARBs), and may bring serious economic loss or even endanger human security. To discover and remove ARBs, ARBs prediction is presented. But ARBs prediction model often needs a large number of training data in order to train a high performance classification model. In practice, the labeled data are rare in many cases. In addition, it is difficult to label all samples manually. Furthermore, there is a serious class imbalance problem in ARBs datasets. In order to address the two problems, we propose a framework named QUIRE-HUE. On the one hand, we use a approach named Active Learning by Querying Informative and Representative Examples (QUIRE) to select a few informative and representative samples to label for training set, which can reduce the cost of labeling and get a high performance classification model. On the other hand, we apply a Hashing-Based Undersampling Ensemble (HUE) by constructing diversified training subspaces for undersampling to alleviate class imbalance problem. A set of experiments are performed on two large open-source projects (MySQL, Linux) with six different machine learning classifiers. We use Balance and AUC as the evaluation metrics. Experimental results indicate that QUIRE-HUE achieves encouraging results. Average AUC and Balance are 0.769 and 0.812 respectively on MySQL dataset, 0.772 and 0.828 respectively on Linux dataset, which significantly outperforms all baseline methods.","PeriodicalId":385392,"journal":{"name":"2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122399660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Exception Handling Recommendation Based on Self-Attention Network 基于自关注网络的异常处理建议

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00080

Kai Lin, Chuanqi Tao, Zhiqiu Huang

引用次数: 0

Online Log Parsing: Preliminary Literature Review 在线日志解析:初步文献综述

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00091

Scott Lupton, H. Washizaki, Nobukazu Yoshioka, Y. Fukazawa

引用次数: 2

ISSRE 2021 Fast Abstracts Track Committees ISSRE 2021快速摘要跟踪委员会

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/issrew53611.2021.00011

引用次数: 0

Dynamic Filtering and Prioritization of Static Code Analysis Alerts 静态代码分析警报的动态过滤和优先级

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/issrew53611.2021.00086

Ulas Yuksel, Hasan Sozer

引用次数: 0

MultiCode: A Unified Code Analysis Framework based on Multi-type and Multi-granularity Semantic Learning 基于多类型、多粒度语义学习的统一代码分析框架

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00102

Xu Duan, Jingzheng Wu, Mengnan Du, Tianyue Luo, Mutian Yang, Yanjun Wu

引用次数: 1

A Combinatorial Reliability Analysis of Dynamic Fault Trees with Priority-AND Gates 具有优先级与门的动态故障树组合可靠性分析

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00062

Piaoyi Liu, Siwei Zhou, Luyao Ye, Dongdong Zhao, Jianwen Xiang

引用次数: 1

Reliability Analysis of Systems Subject to Imperfect Fault Coverage Considering Failure Propagation and Component Relevancy 考虑故障传播和部件相关性的不完全故障覆盖系统可靠性分析

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00065

Chuanli Wu, Zixiang Wang, Siwei Zhou, Dongdong Zhao, Jing Tian, Jianwen Xiang

{"title":"Reliability Analysis of Systems Subject to Imperfect Fault Coverage Considering Failure Propagation and Component Relevancy","authors":"Chuanli Wu, Zixiang Wang, Siwei Zhou, Dongdong Zhao, Jing Tian, Jianwen Xiang","doi":"10.1109/ISSREW53611.2021.00065","DOIUrl":"https://doi.org/10.1109/ISSREW53611.2021.00065","url":null,"abstract":"This paper proposes a method to analyze the component relevance and the failure propagation in the system subjected to imperfect fault coverage (IFC). In fault-tolerant systems, uncovered component failures may directly lead to a system failure because the non-isolated component failures may propagate through the system, or the system cannot be reconfigured to eliminate the impact of relevant component failures. The failure effect of components is studied and divided into propagated failures and non-propagated failures according to whether the effects of failure could spread. The fault-tolerance is described by isolation phase and reconfiguration phase in this paper which are supposed to be independent. In our method, the not-isolated propagated component failure can lead to system failure and the not-reconfigured relevant component failure also can lead to system failure. Our experiments show that compared to the traditional imperfect coverage model, the proposed approach can analyze system reliability more accurately based on the same example system.","PeriodicalId":385392,"journal":{"name":"2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131369609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Software Requirement Criteria based on Human Errors 基于人为错误的软件需求标准

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00047

Fuqun Huang

引用次数: 1

Genetic Algorithm-based Testing of Industrial Elevators under Passenger Uncertainty 基于遗传算法的工业电梯乘客不确定性测试

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00101

Joritz Galarraga, A. Marcos, Sajid Ali, Goiuria Sagardui Mendieta, Maite Arratibel

{"title":"Genetic Algorithm-based Testing of Industrial Elevators under Passenger Uncertainty","authors":"Joritz Galarraga, A. Marcos, Sajid Ali, Goiuria Sagardui Mendieta, Maite Arratibel","doi":"10.1109/ISSREW53611.2021.00101","DOIUrl":"https://doi.org/10.1109/ISSREW53611.2021.00101","url":null,"abstract":"Elevators, as other cyber-physical systems, need to deal with uncertainty during their operation due to several factors such as passengers and hardware. Such uncertainties could affect the quality of service promised by elevators and in the worst case lead to safety hazards. Thus, it is important that elevators are extensively tested by considering uncertainty during their development to ensure their safety in operation. To this end, we present an uncertainty testing methodology supported with a tool to test industrial dispatching systems at the Software-in-the-Loop (SiL) test level. In particular, we focus on uncertainties in passenger data and employ a Genetic Algorithm (GA) with specifically designed genetic operators to significantly reduce the quality of service of elevators, thus aiming to find uncertain situations that are difficult to extract by users. An initial experiment with an industrial dispatcher revealed that the GA significantly decreased the quality of service as compared to not considering uncertainties. The results can be used to further improve the implementation of dispatching algorithms to handle various uncertainties.","PeriodicalId":385392,"journal":{"name":"2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114113646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1