GuideArch: Guiding the Exploration of Architectural Solution Space under Uncertainty

被引：0

作者：

Esfahani, Naeem ^{[1
]}

Malek, Sam ^{[1
]}

Razavi, Kaveh ^{[1
]}

机构：

[1] George Mason Univ, Dept Comp Sci, Fairfax, VA 22030 USA

来源：

PROCEEDINGS OF THE 35TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2013) | 2013年

关键词：

Software Architecture; Uncertainty; Decision Making;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

A system's early architectural decisions impact its properties (e. g., scalability, dependability) as well as stakeholder concerns (e.g., cost, time to delivery). Choices made early on are both difficult and costly to change, and thus it is paramount that the engineer gets them "right". This leads to a paradox, as in early design, the engineer is often forced to make these decisions under uncertainty, i.e., not knowing the precise impact of those decisions on the various concerns. How could the engineer make the "right" choices in such circumstances? This is precisely the question we have tackled in this paper. We present GuideArch, a framework aimed at quantitative exploration of the architectural solution space under uncertainty. It provides techniques founded on fuzzy math that help the engineer with making informed decisions.

引用

页码：43 / 52

页数：10

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