2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)最新文献_第3页

Flexible Soft Error Mitigation Strategy for Memories in Mixed-Critical Systems 混合关键系统中存储器的柔性软错误缓解策略

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2019-10-01 DOI: 10.1109/ISSREW.2019.00108

Amer Kajmakovic, K. Diwold, N. Kajtazovic, Robert Zupanc, Georg Macher

引用次数: 7

Towards Rust for Critical Systems 面向关键系统的Rust

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2019-10-01 DOI: 10.1109/ISSREW.2019.00036

André Pinho, L. Couto, José Oliveira

引用次数: 3

Coordinated Analysis of Heterogeneous Monitor Data in Enterprise Clouds for Incident Response 企业云中异构监控数据的事件响应协调分析

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2019-10-01 DOI: 10.1109/ISSREW.2019.00042

Uttam Thakore, H. Ramasamy, W. Sanders

{"title":"Coordinated Analysis of Heterogeneous Monitor Data in Enterprise Clouds for Incident Response","authors":"Uttam Thakore, H. Ramasamy, W. Sanders","doi":"10.1109/ISSREW.2019.00042","DOIUrl":"https://doi.org/10.1109/ISSREW.2019.00042","url":null,"abstract":"During incident analysis and response, enterprise cloud administrators want to use as much of their generated monitor data as possible. However, the reality is that decisions are often dictated by the tools actually available to automatically process the monitor data, rather than by an understanding of the relevance of the data for incident response. The significant manual effort and domain expertise required to process diverse cloud monitors means that much monitor data remain unexamined. We propose a framework for simplifying the complexity of data analysis for incident response. Our framework enables coordinated analysis of both metric (numerical) data and log (semi-structured, textual) data and exposes salient features within those data. As a foundation for the framework, we define a taxonomy for fields within monitor data based on insights gained from analyzing logs and metrics collected from all levels of an experimental platform-as-a-service (PaaS) cloud (EPC). Using the taxonomy, we lay out a method for semi-automated feature extraction and discovery across heterogeneous monitors. We then describe a method for feature clustering to promote effective analysis of the data, and to remove redundant and uninformative features. We discuss the application of our framework for incident response within the EPC, including root cause analysis.","PeriodicalId":166239,"journal":{"name":"2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129227697","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

Mobile App to SGX Enclave Secure Channel 移动应用程序到新交所Enclave安全通道

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2019-10-01 DOI: 10.1109/ISSREW.2019.00081

Fernando Kaway Carvalho Ota, J. Meira, C. Cassagnes, R. State

引用次数: 3

Design for Testability of ERMTS Applications ERMTS应用的可测试性设计

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2019-10-01 DOI: 10.1109/ISSREW.2019.00062

Andrea Riboni, Luca Guglielmo, Matteo Orrù, Pietro Braione, G. Denaro

引用次数: 2

Stochastic Model for Availability Analysis of Service Function Chains using Rejuvenation and Live Migration 基于回春和动态迁移的服务功能链可用性分析随机模型

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2019-10-01 DOI: 10.1109/ISSREW.2019.00074

Erico A. C. Guedes, P. Maciel

引用次数: 6

IDEAR 2019 Workshop Keynote IDEAR 2019研讨会主题演讲

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2019-10-01 DOI: 10.1109/issrew.2019.00027

引用次数: 0

Building Resource Adaptations via Test-Based Software Minimization: Application, Challenges, and Opportunities 通过基于测试的软件最小化构建资源适应性:应用、挑战和机遇

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2019-10-01 DOI: 10.1109/ISSREW.2019.00046

Arpit Christi, Alex Groce, A. Wellman

引用次数: 4

Concurrency Defect Localization in Embedded Systems using Static Code Analysis: An Evaluation 基于静态代码分析的嵌入式系统并发缺陷定位研究

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2019-10-01 DOI: 10.1109/ISSREW.2019.00034

Bjarne Johansson, A. Papadopoulos, T. Nolte

{"title":"Concurrency Defect Localization in Embedded Systems using Static Code Analysis: An Evaluation","authors":"Bjarne Johansson, A. Papadopoulos, T. Nolte","doi":"10.1109/ISSREW.2019.00034","DOIUrl":"https://doi.org/10.1109/ISSREW.2019.00034","url":null,"abstract":"Defects with low manifestation probability, such as concurrency defects, are difficult to find during testing. When such a defect manifests into an error, the low likelihood can make it time-consuming to reproduce the error and find the root cause. Static Code Analysis (SCA) tools have been used in the industry for decades, mostly for compliance checking towards guidelines such as MISRA. Today, these tools are capable of sophisticated data and execution flow analysis. Our work, presented in this paper, evaluates the feasibility of using SCA tools for concurrency defect detection and localization. Earlier research has categorized concurrency defects. We use this categorization and develop an object-oriented C++ based test suite containing defects from each category. Secondly, we use known and real defects in existing products' source code. With these two approaches, we perform the evaluation, using tools from some of the largest commercial actors in the field. Based on our results, we provide a discussion about how to use static code analysis tools for concurrency defect detection in complex embedded real-time systems.","PeriodicalId":166239,"journal":{"name":"2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127587653","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

TRIADE A Three-Factor Trace Segmentation Method to Support Program Comprehension 一种支持程序理解的三因素跟踪分割方法

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2019-10-01 DOI: 10.1109/ISSREW.2019.00103

R. Khoury, A. Hamou-Lhadj, Mohamed Ilyes Rahim, Sylvain Hallé, Fábio Petrillo

{"title":"TRIADE A Three-Factor Trace Segmentation Method to Support Program Comprehension","authors":"R. Khoury, A. Hamou-Lhadj, Mohamed Ilyes Rahim, Sylvain Hallé, Fábio Petrillo","doi":"10.1109/ISSREW.2019.00103","DOIUrl":"https://doi.org/10.1109/ISSREW.2019.00103","url":null,"abstract":"Trace analysis allows software engineers to gain insights into the behavior of the systems they maintain, and thus serves as an essential tool to aid in multiple tasks that require an understanding of complex systems, including security analysis, debugging and maintenance. However, the considerable size of execution traces can hinder the effectiveness of trace analysis. There exist techniques that extract higher level abstractions from a lengthy trace by automatically segmenting a trace into a number of cohesive segments, allowing software engineers to focus only on the segments of interest. In this paper, we improve on related work on segmenting traces of method calls by considering three factors: method names, method calling relationship, and method parameters. We show experimentally that this approach is more effective for the purpose of dividing a trace in a manner concordant with the underlying behavior of the program than existing algorithms. We also examine the issue of key element extraction from a trace, and again demonstrate experimentally that traces segmented using our method can more readily be subjected to this analysis","PeriodicalId":166239,"journal":{"name":"2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125149656","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