Analysis techniques of autonomy framework metrics for autonomous developers

被引：0

作者：

Hwang, George J. ^{[1
]}

Katre, Aniruddha ^{[2
]}

Hart, Kyle M. ^{[1
]}

Rea, Charles A. ^{[1
]}

机构：

[1] Naval Air Warfare Ctr Aircraft Div, 48110 Shaw Rd, Patuxent River, MD 20670 USA

[2] Aurora Flight Sci, 9950 Wakeman Dr, Manassas, VA 20110 USA

来源：

AUTONOMOUS SYSTEMS: SENSORS, PROCESSING AND SECURITY FOR GROUND, AIR, SEA AND SPACE VEHICLES AND INFRASTRUCTURE 2022 | 2022年 / 12115卷

关键词：

Autonomy; Metrics; Software Metrics; Software Engineering; Sentiment Analysis; Graph Theory; Service riented Architecture; Micro-Services;

D O I：

10.1117/12.2623376

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As autonomous systems proliferate, empirical measurement of their fitness is paramount. Several frameworks have been developed that provide guidance on what should be measured. However, these frameworks require users to develop their own metrics. Additionally, these frameworks focus on the autonomous systems rather than the enablers. An enabler could be the process used by developers. This research introduces novel techniques to analyze metrics used to measure fitness of autonomy architectures for developers. Crucially, this will be generalizable across autonomy measurement frameworks. The results are new techniques acquisition professionals can use to help better make tradeoffs development-wise for different architectures.

引用

页数：13

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