The Planning Software Behind the Bright Spots on Ceres: The Challenges and Successes of Science Opportunity Analyzer

被引：3

作者：

Llopis, Marcel ^{[1
]}

Polanskey, Carol A. ^{[1
]}

Lawler, Christopher R. ^{[1
]}

Ortega, Carolyn ^{[1
]}

机构：

[1] CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON SPACE MISSION CHALLENGES FOR INFORMATION TECHNOLOGY (SMC-IT 2019) | 2019年

基金：

美国国家航空航天局;

关键词：

science opportunity analyzer; observation design; software development; Dawn; science planning; QUALITY;

D O I：

10.1109/SMC-IT.2019.00005

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

The Science Opportunity Analyzer software, or SOA, was developed with one goal in mind: to increase the productivity of science planning teams by streamlining the observation design process. Due to effective software development practices, conscious resource management, and above all, adroit assessment and fulfillment of user needs, SOA has proven instrumental to the scientific successes of NASA's Dawn mission, which include elucidating the nature of Ceres and its spectacular bright spots. We present a retrospective on the challenges experienced while developing SOA, how they were overcome, and how SOA became a more compelling tool for flight projects after its use and maintenance within Dawn.

引用

页码：1 / 8

页数：8