2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS)最新文献_第2页

MVSE: Effort-Aware Heterogeneous Defect Prediction via Multiple-View Spectral Embedding 基于多视点光谱嵌入的努力感知异质缺陷预测

2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2019-07-22 DOI: 10.1109/QRS.2019.00015

Zhou Xu, Sizhe Ye, Tao Zhang, Z. Xia, Shuai Pang, Yong Wang, Yutian Tang

{"title":"MVSE: Effort-Aware Heterogeneous Defect Prediction via Multiple-View Spectral Embedding","authors":"Zhou Xu, Sizhe Ye, Tao Zhang, Z. Xia, Shuai Pang, Yong Wang, Yutian Tang","doi":"10.1109/QRS.2019.00015","DOIUrl":"https://doi.org/10.1109/QRS.2019.00015","url":null,"abstract":"Cross-Project Defect Prediction (CPDP) predicts defects in a target project using the defect information of the external project. Existing CPDP methods assume that the data of two projects share identical features. When cross-project data contain heterogeneous features, traditional CPDP methods become ineffective. In this paper, we propose a novel approach called Multiple-View Spectral Embedding (MVSE) to address the heterogeneous CPDP issue. MVSE treats the cross-project data as two different views and exploits the spectral embedding method to map the heterogeneous feature sets into a consistent space where the two mapped feature sets have maximal similarity. To evaluate MVSE in the realistic setting, we employ an effort-aware performance indicator that considers the cost of inspection in the context of heterogeneous CPDP scenario. We have conducted extensive experiments to compare MVSE with two state-of-the-art heterogeneous CPDP methods and within-project setting. The experiments on 94 cross project pairs show that MVSE achieves promising results.","PeriodicalId":122665,"journal":{"name":"2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127532497","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: 4

An Empirical Study of Bug Isolation on the Effectiveness of Multiple Fault Localization Bug隔离对多故障定位有效性的实证研究

2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2019-07-22 DOI: 10.1109/QRS.2019.00016

Zheng Li, Yonghao Wu, Yong Liu

引用次数: 7

A Point Process Approach of Bug Fixing Analysis in Open Source Software Projects 开源软件项目中Bug修复分析的点过程方法

2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2019-07-22 DOI: 10.1109/QRS.2019.00024

Takahiro Ushiroda, T. Dohi, Yasuhiro Saito, H. Okamura

引用次数: 1

A Cluster-Based Hybrid Feature Selection Method for Defect Prediction 基于聚类的混合特征选择缺陷预测方法

2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2019-07-22 DOI: 10.1109/QRS.2019.00014

Fei Wang, J. Ai, Zhuoliang Zou

引用次数: 9

Automatic Analysis of Critical Sections for Efficient Secure Multi-Execution 高效安全多执行的关键部分自动分析

2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2019-07-22 DOI: 10.1109/QRS.2019.00048

Tobias F. Pfeffer, Thomas Göthel, S. Glesner

引用次数: 0

Microservice Based Architecture: Towards High-Availability for Stateful Applications with Kubernetes 基于微服务的架构:用Kubernetes实现有状态应用的高可用性

2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2019-07-22 DOI: 10.1109/QRS.2019.00034

Leila Abdollahi Vayghan, M. Saied, M. Toeroe, F. Khendek

{"title":"Microservice Based Architecture: Towards High-Availability for Stateful Applications with Kubernetes","authors":"Leila Abdollahi Vayghan, M. Saied, M. Toeroe, F. Khendek","doi":"10.1109/QRS.2019.00034","DOIUrl":"https://doi.org/10.1109/QRS.2019.00034","url":null,"abstract":"Kubernetes is an open source platform that hides the complexity of orchestrating containerized microservices while managing their availability. Stateless microservices can be executed in a resilient manner with Kubernetes. However, the same is not true for stateful microservices. Containers are characterized by having an ephemeral state and the state aspect of stateful microservices makes orchestration more complex than what the initial Kubernetes controllers were built for. In this paper, we investigate the current Kubernetes support for stateful microservices and identify the problems. We propose a solution to enrich Kubernetes with a State Controller that allows for state replication and automatic service redirection to the healthy entities through the management of secondary labels. We have conducted experiments under the default configuration of Kubernetes as well as under its most responsive one to evaluate our solution and compare the different architectures from an availability perspective. We also perform a comparative evaluation with OpenSAF, which is a proven solution for enabling high-availability. The results of our investigations show that our solution improves the recovery time of stateful microservices by 55% and even up to 99% in certain cases.","PeriodicalId":122665,"journal":{"name":"2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134110558","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: 52

A Systematic Requirements and Risks-Based Test Case Prioritization Using a Fuzzy Expert System 基于模糊专家系统的基于需求和风险的测试用例排序

2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2019-07-22 DOI: 10.1109/QRS.2019.00054

Charitha Hettiarachchi, Hyunsook Do

引用次数: 6

Analyzing Software Architecture Evolvability Based on Multiple Architectural Attributes Measurements 基于多体系结构属性度量的软件体系结构可演化性分析

2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2019-07-01 DOI: 10.1109/QRS.2019.00037

Tong Wang, Bixin Li

{"title":"Analyzing Software Architecture Evolvability Based on Multiple Architectural Attributes Measurements","authors":"Tong Wang, Bixin Li","doi":"10.1109/QRS.2019.00037","DOIUrl":"https://doi.org/10.1109/QRS.2019.00037","url":null,"abstract":"When the erosion of software architecture occurs, there is an increase in software maintenance costs, a decrease in software quality, and degradation of software performance, etc. Therefore, it is particularly crucial to find a feasible way to evaluate software architecture to detect and avoid the erosion of software architecture in a timely manner. Through empirical study, we find that software architecture (SA) evolvability is one of the critical causes that leads to the erosion of software architecture. In this paper, we propose an approach to analyze SA evolvability based on multiple architectural attribute measurements and further solve the above problems in software architecture evolution. Our approach consists of the following steps: first, according to the evolutionary process, we propose four corresponding architectural attributes; second, these attributes are measured based on basic information and dependency information; third, SA evolvability is measured based on multiple architectural attribute measurements. Our experiments are conducted on thirteen Java open-source projects to verify the effectiveness of our approach. The experimental results show that our approach can effectively reflect the SA evolvability from the following two aspects: a single attribute can reflect a specific aspect of the SA evolvability; the composition of attributes can reflect the composite SA evolvability. Furthermore, we can locate the causes of the erosion of SA by combining the measurements and the evolutionary activities, and we further propose evolutionary proposals to improve the SA evolvability.","PeriodicalId":122665,"journal":{"name":"2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115212191","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

Importance and Aptitude of Source Code Density for Commit Classification into Maintenance Activities 源代码密度对提交分类到维护活动中的重要性和适用性

2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2019-07-01 DOI: 10.1109/QRS.2019.00027

Sebastian Hönel, Morgan Ericsson, Welf Löwe, Anna Wingkvist

引用次数: 14

Reorganizing and Optimizing Post-Inspection on Suspicious Bug Reports in Path-Sensitive Analysis 路径敏感分析中可疑Bug报告的事后检验重组与优化

2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2019-07-01 DOI: 10.1109/QRS.2019.00042

Xutong Ma, Jiwei Yan, Jun Yan, Jian Zhang

引用次数: 4