Second International Workshop on Software Architecture and Metrics (SAM 2015)

被引:3
|
作者
Ozkaya, Ipek [1 ]
Nord, Robert L. [1 ]
Koziolek, Heiko [2 ]
Avgeriou, Paris [3 ]
机构
[1] Carnegie Mellon Univ, Inst Software Engn, Pittsburgh, PA 15213 USA
[2] ABB Corp Res, Ladenburg, Germany
[3] Univ Groningen, Groningen, Netherlands
来源
2015 IEEE/ACM 37TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, VOL 2 | 2015年
关键词
Software architecture; metrics; software analytics; technical debt; software quality; software maintenance and evolution; empirical software engineering; qualitative methods;
D O I
10.1109/ICSE.2015.346
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:999 / 1000
页数:2
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