Using software metrics to estimate the impact of maintenance in the performance of embedded software

被引：2
|
作者：
Vieira, Andrws [1 ]
Faustini, Pedro [1 ]
Cota, Erika [1 ]
机构：
[1] Univ Fed Rio Grande do Sul, Inst Informat, PPGC, Porto Alegre, RS, Brazil
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME) | 2014年
关键词：
Software Metrics; Maintenance; Data Mining; Regression Analysis; Embedded Systems;
D O I：
10.1109/ICSME.2014.86
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper proposes a strategy to assist the designer in evaluating the impact of a design choice with respect to the nonfunctional requirements in embedded systems. We use several regression models to predict physical metrics from design metrics in order to estimate the impact on performance of software changes in the early development stages. This prediction can be used during maintenance to compare alternative design changes before implementation. Such an early estimation allows an efficient design space exploration with no penalty in the development time, which are crucial aspects for an embedded system.
引用
收藏
页码：521 / 525
页数：5
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