Metrics-guided quality management for component-based software systems

被引:12
|
作者
Sedigh-Ali, S [1 ]
Ghafoor, A [1 ]
Paul, RA [1 ]
机构
[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
关键词
D O I
10.1109/CMPSAC.2001.960631
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The growing reliance on Commercial-Off-The-Shelf (COTS) components for developing large-scale projects introduces a new paradigm in software engineering, which requires the design of new software development and business processes. Large scale component reuse leads to savings in development resources, enabling these resources to be applied to areas such as quality improvement. These savings come at the price of integration difficulties, performance constraints, and incompatibility of components from multiple vendors. Relying on COTS components also increases the system's vulnerability to risks arising from third-party development, which can negatively affect the quality of the system, as well as causing expenses not incurred in traditional software development. We aim to alleviate such concerns by using software metrics to accurately quantity, factors contributing to the overall quality of a Component-Based System (CBS), guiding quality and risk management bi, identifying and eliminating sources of risk.
引用
收藏
页码:303 / 308
页数:4
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