2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)最新文献_第3页

A Test Case Generation Method of Combinatorial Testing based on τ-way Testing with Adaptive Random Testing 基于τ-way测试和自适应随机测试的组合测试用例生成方法

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00048

Jinfu Chen, Jingyi Chen, Saihua Cai, Haibo Chen, Chi Zhang, Chuangfei Huang

{"title":"A Test Case Generation Method of Combinatorial Testing based on τ-way Testing with Adaptive Random Testing","authors":"Jinfu Chen, Jingyi Chen, Saihua Cai, Haibo Chen, Chi Zhang, Chuangfei Huang","doi":"10.1109/ISSREW53611.2021.00048","DOIUrl":"https://doi.org/10.1109/ISSREW53611.2021.00048","url":null,"abstract":"Combinatorial testing is an effective software testing technique, which has gained wide attention on industry and academic. It detects faults triggered by the interactions among parameters relevant to software through selection of a reasonably sized set, which consists of the combination of the values of these parameters. However, as the complexity of software system increases, the time cost increases greatly, which leads how to efficiently generate the smallest coverage array under the given input parameter model to become the major sticking points in some scenarios. In order to address this issue, by analyzing existing generation algorithms, it is found that these algorithms are based on the complete input parameter model constructed in the first step of combinatorial testing. This paper proposes a test case generation method of combinatorial testing based on $tau$-way testing and adaptive random testing which test cases can be generated partially using $tau$-way strategy and partially using adaptive random testing by splitting the input parameter model, so as to achieve a balance between effectiveness and efficiency in a specific scenario. To this end, experimental results show that the proposed method has better faults detection ability and the computational overhead of test case generation on subject Tcas program.","PeriodicalId":385392,"journal":{"name":"2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"45 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":"127861331","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: 0

Classification of Testable and Valuable User Stories by using Supervised Machine Learning Classifiers 使用监督机器学习分类器对可测试和有价值的用户故事进行分类

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00111

Isha Subedi, Maninder Singh, Vijayalakshmi Ramasamy, G. Walia

{"title":"Classification of Testable and Valuable User Stories by using Supervised Machine Learning Classifiers","authors":"Isha Subedi, Maninder Singh, Vijayalakshmi Ramasamy, G. Walia","doi":"10.1109/ISSREW53611.2021.00111","DOIUrl":"https://doi.org/10.1109/ISSREW53611.2021.00111","url":null,"abstract":"Agile is one of the most widely used software development methodologies that include user stories, the smallest units semi-structured specifications to capture the requirements from a user's point of view. Despite being popular, only a little research has been done to automate the quality checking/analysis of a user story before assigning it to a sprint. In this study, we have chosen two metrics, i.e., Testable and Valuable criteria from INVEST checklist, and have applied supervised machine learning classifiers to automatically classify them. Since the industrial data collected for the research was unbalanced, we also applied data balancing techniques such as SMOTE, RUS, ROS, and Back translation (BT) to verify if they improved any classification metrics. Although we did not see any significant improvements in accuracy and precision for the classifiers after applying data balancing techniques, we noticed a significant improvement in recall values across all the classifiers. Our research provides some promising insights into how this research could be used in the software industry to automate the analysis of user stories and improve the quality of software produced.","PeriodicalId":385392,"journal":{"name":"2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"6 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":"124020717","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

Message from the WoSoCer 2021 Workshop Chairs 2021年世界足球锦标赛工作坊主席致辞

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/issrew53611.2021.00015

引用次数: 0

Hierarchical Scheduling for Real-Time Containers in Mixed-Criticality Systems 混合临界系统中实时容器的分层调度

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00082

Marco Barletta, M. Cinque, Raffaele Della Corte

引用次数: 2

A Static Analysis Framework for Detecting Bugs in Introductory Programs 在介绍性程序中检测bug的静态分析框架

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00078

Wenchu Xu, Yanran Ma

引用次数: 0

Input/Output Check Bugs Taxonomy: Injection Errors in Spotlight 输入/输出检查错误分类:聚光灯下的注入错误

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00052

Irena Bojanova, C. E. Galhardo, Sara Moshtari

{"title":"Input/Output Check Bugs Taxonomy: Injection Errors in Spotlight","authors":"Irena Bojanova, C. E. Galhardo, Sara Moshtari","doi":"10.1109/ISSREW53611.2021.00052","DOIUrl":"https://doi.org/10.1109/ISSREW53611.2021.00052","url":null,"abstract":"In this work, we present an orthogonal classification of input/output check bugs, allowing precise structured descriptions of related software vulnerabilities. We utilize the Bugs Framework (BF) approach to define two language-independent classes that cover all possible kinds of data check bugs. We also identify all types of injection errors, as they are always directly caused by input/output data validation bugs. In BF each class is a taxonomic category of a weakness type defined by sets of operations, cause→consequence relations, and attributes. A BF description of a bug or a weakness is an instance of a taxonomic BF class with one operation, one cause, one consequence, and their attributes. Any vulnerability then can be described as a chain of such instances and their consequence-cause transitions. With our newly developed Data Validation Bugs and Data Verification Bugs classes, we confirm that BF is a classification system that extends the Common Weakness Enumeration (CWE). It allows clear communication about software bugs and weaknesses, providing a structured way to precisely describe real-world vulnerabilities.","PeriodicalId":385392,"journal":{"name":"2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"118 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":"117286941","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

Evolution of the IEEE P7009 Standard: Towards Fail-Safe Design of Autonomous Systems IEEE P7009标准的演进:迈向自动系统的故障安全设计

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00109

M. Farrell, Matt Luckcuck, Laura Pullum, M. Fisher, A. Hessami, Danit Gal, Zvikomborero Murahwi, Ken Wallace

{"title":"Evolution of the IEEE P7009 Standard: Towards Fail-Safe Design of Autonomous Systems","authors":"M. Farrell, Matt Luckcuck, Laura Pullum, M. Fisher, A. Hessami, Danit Gal, Zvikomborero Murahwi, Ken Wallace","doi":"10.1109/ISSREW53611.2021.00109","DOIUrl":"https://doi.org/10.1109/ISSREW53611.2021.00109","url":null,"abstract":"Autonomous systems are complex, diverse, and likely be used in environments that change unpredictably. We must develop mechanisms to cope with failures, potentially caused by both the natural stresses of the operating environment and the system's inadequate environmental models. Failures also arise from system component wear. In 2016, the IEEE launched the Global Initiative on Ethics of Autonomous and Intelligent Systems in response to the proliferation of increasingly-autonomous systems. A cornerstone of this initiative is the IEEE P7000 series of projects, which set the standards for the future of ethical intelligent and autonomous technologies. This paper describes the ongoing development of the IEEE P7009 standard on “Fail-Safe Design of Autonomous and Semi-Autonomous Systems”. We provide a collective perspective on the ongoing development of IEEE P7009, and outline the objectives, current approaches, issues under discussion, and two exemplar use cases from different sectors: one high-regulation, the other low-regulation.","PeriodicalId":385392,"journal":{"name":"2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"13 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":"114513188","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: 6

Detection of IoT Devices That Mine Cryptocurrency 检测挖掘加密货币的物联网设备

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00074

Wei Zheng, Liangbo Hou, Junming Yu, Fei Chen

引用次数: 0

ColocationSim: Simulate Colocation Datacenter with Microservices and Performance Interference ColocationSim:模拟带有微服务和性能干扰的托管数据中心

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/ISSREW53611.2021.00087

Kangjin Wang, Ying Li

引用次数: 0

GAUSS 2021 Workshop Committees GAUSS 2021车间委员会

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2021-10-01 DOI: 10.1109/issrew53611.2021.00024

引用次数: 0