2018 IEEE International Conference on Software Quality, Reliability and Security (QRS)最新文献_第5页

Using Mutant Stubbornness to Create Minimal and Prioritized Test Sets 使用突变顽固创建最小和优先级测试集

2018 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2018-07-01 DOI: 10.1109/QRS.2018.00058

Loreto Gonzalez-Hernandez, B. Lindström, A. Offutt, S. F. Andler, P. Potena, M. Bohlin

{"title":"Using Mutant Stubbornness to Create Minimal and Prioritized Test Sets","authors":"Loreto Gonzalez-Hernandez, B. Lindström, A. Offutt, S. F. Andler, P. Potena, M. Bohlin","doi":"10.1109/QRS.2018.00058","DOIUrl":"https://doi.org/10.1109/QRS.2018.00058","url":null,"abstract":"In testing, engineers want to run the most useful tests early (prioritization). When tests are run hundreds or thousands of times, minimizing a test set can result in significant savings (minimization). This paper proposes a new analysis technique to address both the minimal test set and the test case prioritization problems. This paper precisely defines the concept of mutant stubbornness, which is the basis for our analysis technique. We empirically compare our technique with other test case minimization and prioritization techniques in terms of the size of the minimized test sets and how quickly mutants are killed. We used seven C language subjects from the Siemens Repository, specifically the test sets and the killing matrices from a previous study. We used 30 different orders for each set and ran every technique 100 times over each set. Results show that our analysis technique performed significantly better than prior techniques for creating minimal test sets and was able to establish new bounds for all cases. Also, our analysis technique killed mutants as fast or faster than prior techniques. These results indicate that our mutant stubbornness technique constructs test sets that are both minimal in size, and prioritized effectively, as well or better than other techniques.","PeriodicalId":114973,"journal":{"name":"2018 IEEE International Conference on Software Quality, Reliability and Security (QRS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131811077","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: 8

An Empirical Study of the Impact of Code Smell on File Changes 代码气味对文件变更影响的实证研究

2018 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2018-07-01 DOI: 10.1109/QRS.2018.00037

Can Zhu, Xiaofang Zhang, Yang Feng, Lin Chen

引用次数: 1

A Program Slicing-Based Bayesian Network Model for Change Impact Analysis 基于程序切片的变更影响分析贝叶斯网络模型

2018 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2018-07-01 DOI: 10.1109/QRS.2018.00062

Ekincan Ufuktepe, Tugkan Tuglular

引用次数: 9

On the Suitability of a Portfolio-Based Design Improvement Approach 基于投资组合的设计改进方法的适用性研究

2018 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2018-07-01 DOI: 10.1109/QRS.2018.00038

Johannes Bräuer, Reinhold Plösch, Christian Körner, Matthias Saft

引用次数: 0

QRS 2018 Steering Committee QRS 2018指导委员会

2018 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2018-07-01 DOI: 10.1109/qrs.2018.00008

W. Wong

引用次数: 0

An Analysis of Complex Industrial Test Code Using Clone Analysis 用克隆分析分析复杂的工业测试代码

2018 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2018-07-01 DOI: 10.1109/QRS.2018.00061

Wafa Hasanain, Y. Labiche, Sigrid Eldh

引用次数: 12

An Automatic Parameterized Verification of FLASH Cache Coherence Protocol FLASH缓存一致性协议的自动参数化验证

2018 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2018-07-01 DOI: 10.1109/QRS.2018.00018

Yongjian Li, Jialun Cao, Kaiqiang Duan

引用次数: 0

Spiral^SRA: A Threat-Specific Security Risk Assessment Framework for the Cloud 螺旋^SRA:针对云的特定威胁的安全风险评估框架

2018 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2018-07-01 DOI: 10.1109/QRS.2018.00049

A. Nhlabatsi, Jin B. Hong, Dong Seong Kim, Rachael Fernandez, Noora Fetais, K. Khan

{"title":"Spiral^SRA: A Threat-Specific Security Risk Assessment Framework for the Cloud","authors":"A. Nhlabatsi, Jin B. Hong, Dong Seong Kim, Rachael Fernandez, Noora Fetais, K. Khan","doi":"10.1109/QRS.2018.00049","DOIUrl":"https://doi.org/10.1109/QRS.2018.00049","url":null,"abstract":"Conventional security risk assessment approaches for cloud infrastructures do not explicitly consider risk with respect to specific threats. This is a challenge for a cloud provider because it may apply the same risk assessment approach in assessing the risk of all of its clients. In practice, the threats faced by each client may vary depending on their security requirements. The cloud provider may also apply generic mitigation strategies that are not guaranteed to be effective in thwarting specific threats for different clients. This paper proposes a threat-specific risk assessment framework which evaluates the risk with respect to specific threats by considering only those threats that are relevant to a particular cloud client. The risk assessment process is divided into three phases which have inter-related activities arranged in a spiral. Application of the framework to a cloud deployment case study shows that considering risk with respect to specific threats leads to a more accurate quantification of security risk. Although our framework is motivated by risk assessment challenges in the cloud it can be applied in any network environment.","PeriodicalId":114973,"journal":{"name":"2018 IEEE International Conference on Software Quality, Reliability and Security (QRS)","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133622346","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: 3

Hypervisor-Based Sensitive Data Leakage Detector 基于hypervisor的敏感数据泄漏检测器

2018 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2018-07-01 DOI: 10.1109/QRS.2018.00029

Shu-Hao Chang, S. Mallissery, Chih-Hao Hsieh, Yu-Sung Wu

引用次数: 3

SynEva: Evaluating ML Programs by Mirror Program Synthesis SynEva:通过镜像程序合成评估ML程序

2018 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2018-07-01 DOI: 10.1109/QRS.2018.00031

Yi Qin, Huiyan Wang, Chang Xu, Xiaoxing Ma, Jian Lu

引用次数: 11