{"title":"Introduction to the Special Issue on QEST 2021","authors":"Alessandro Abate, Andrea Marin","doi":"10.1145/3631707","DOIUrl":null,"url":null,"abstract":"The International Conference on Quantitative Evaluation of SysTems (QEST) is the leading forum on evaluation and verification of computer systems and networks, through stochastic models and measurements. QEST covers topics including classic measures involving performance and reliability, as well as quantification of properties that are classically qualitative, such as safety, correctness, and security. QEST welcomes measurement-based studies as well as analytic studies, diversity in the model formalisms and methodologies employed, as well as development of new formalisms and methodologies. In short, QEST aims to encourage all aspects of work centered around creating a sound methodological basis for assessing and designing systems using quantitative means. This special issue consists of five articles extending earlier versions presented at QEST 2021, the 18th edition of the conference, which was hosted in Paris but virtually held August 23 through 27, 2021. A selection of the top-ranked conference papers was chosen by the chairs, and the authors were invited to submit an extended version to this special issue. The journal review process included both members of the QEST program committee and additional reviewers who were not involved in the conference refereeing process. The resulting collection of articles comprises exciting developments in the areas of system verification and performance or reliability analysis. In the contribution titled “Optimizing Reachability Probabilities for a Restricted Class of SHA via Flowpipe Construction,” da Silva, Schupp, and Remke","PeriodicalId":50943,"journal":{"name":"ACM Transactions on Modeling and Computer Simulation","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Modeling and Computer Simulation","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3631707","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The International Conference on Quantitative Evaluation of SysTems (QEST) is the leading forum on evaluation and verification of computer systems and networks, through stochastic models and measurements. QEST covers topics including classic measures involving performance and reliability, as well as quantification of properties that are classically qualitative, such as safety, correctness, and security. QEST welcomes measurement-based studies as well as analytic studies, diversity in the model formalisms and methodologies employed, as well as development of new formalisms and methodologies. In short, QEST aims to encourage all aspects of work centered around creating a sound methodological basis for assessing and designing systems using quantitative means. This special issue consists of five articles extending earlier versions presented at QEST 2021, the 18th edition of the conference, which was hosted in Paris but virtually held August 23 through 27, 2021. A selection of the top-ranked conference papers was chosen by the chairs, and the authors were invited to submit an extended version to this special issue. The journal review process included both members of the QEST program committee and additional reviewers who were not involved in the conference refereeing process. The resulting collection of articles comprises exciting developments in the areas of system verification and performance or reliability analysis. In the contribution titled “Optimizing Reachability Probabilities for a Restricted Class of SHA via Flowpipe Construction,” da Silva, Schupp, and Remke
期刊介绍:
The ACM Transactions on Modeling and Computer Simulation (TOMACS) provides a single archival source for the publication of high-quality research and developmental results referring to all phases of the modeling and simulation life cycle. The subjects of emphasis are discrete event simulation, combined discrete and continuous simulation, as well as Monte Carlo methods.
The use of simulation techniques is pervasive, extending to virtually all the sciences. TOMACS serves to enhance the understanding, improve the practice, and increase the utilization of computer simulation. Submissions should contribute to the realization of these objectives, and papers treating applications should stress their contributions vis-á-vis these objectives.