{"title":"Second International Workshop on Software Architecture and Metrics (SAM 2015)","authors":"I. Ozkaya, R. Nord, H. Koziolek, P. Avgeriou","doi":"10.1109/ICSE.2015.346","DOIUrl":null,"url":null,"abstract":"Software engineers and architects of complex software systems need to balance hard quality attribute requirements while at the same time manage risks and make decisions with a system-wide and long-lasting impact. To achieve these tasks efficiently, they need quantitative information about design-time and run-time system aspects through usable and quick tools. While there is body of work focusing on code quality and metrics, their applicability at the design and architecture level and at scale are inconsistent and not proven. We are interested in exploring whether architecture can assist with better contextualizing existing system and code quality and metrics approaches. Furthermore, we ask whether we need additional architecture-level metrics to make progress and whether something as complex and subtle as software architecture can be quantified. The goal of this workshop is to discuss progress, gather empirical evidence, and identify priorities for a research agenda on architecture and metrics in the software engineering field.","PeriodicalId":330487,"journal":{"name":"2015 IEEE/ACM 37th IEEE International Conference on Software Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE/ACM 37th IEEE International Conference on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSE.2015.346","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Software engineers and architects of complex software systems need to balance hard quality attribute requirements while at the same time manage risks and make decisions with a system-wide and long-lasting impact. To achieve these tasks efficiently, they need quantitative information about design-time and run-time system aspects through usable and quick tools. While there is body of work focusing on code quality and metrics, their applicability at the design and architecture level and at scale are inconsistent and not proven. We are interested in exploring whether architecture can assist with better contextualizing existing system and code quality and metrics approaches. Furthermore, we ask whether we need additional architecture-level metrics to make progress and whether something as complex and subtle as software architecture can be quantified. The goal of this workshop is to discuss progress, gather empirical evidence, and identify priorities for a research agenda on architecture and metrics in the software engineering field.