Software complexity and its impacts in embedded intelligent real-time systems

被引:25
作者
Coskun, E
Grabowski, M
机构
[1] Le Moyne Coll, Business Dept, Syracuse, NY 13214 USA
[2] Sakarya Univ, Econ & Adm Sci Fac, TR-54040 Esentepel Adapazari, Turkey
[3] Rensselaer Polytech Inst, Dept Decis Sci & Engn Syst, Troy, NY 12180 USA
基金
美国海洋和大气管理局;
关键词
software complexity; safety-critical systems; embedded systems; intelligent systems; real-time systems; human performance; operator performance; software performance; technology impact; software evaluation; socio-technical studies;
D O I
10.1016/j.jss.2005.01.009
中图分类号
TP31 [计算机软件];
学科分类号
081202 [计算机软件与理论]; 0835 [软件工程];
摘要
Applications of intelligent software systems are proliferating. As these systems proliferate, understanding and measuring their complexity becomes vital, especially in safety-critical environments. This paper proposes a model assessing the impacts of complexity for a particular type of intelligent software system, embedded intelligent real-time systems (EIRTS), and answers two research questions. (1) How should the complexity of embedded intelligent real-time systems be measured?, and (2) What are the impacts of differing levels of EIRTS complexity on software, operator and system performance when EIRTS are deployed in a safety-critical large-scale system? The model is tested and operationalized using an operational EIRTS in a safety-critical environment. The results suggest that users significantly prefer simple decision support and user interfaces, even when sophisticated user interfaces and complex decision support capabilities have been embedded in the system. These results have interesting implications for operators using complex EIRTS in safety-critical settings. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:128 / 145
页数:18
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