Session
Weekday Poster Session 4
Location
Utah State University, Logan, UT
Abstract
For developing countries, access to space is still limited due to a lack of expertise and resources. This study assesses the extent to which generative AI can augment software development for early-stage CubeSat design in a resource-limited environment. ChatGPT-4 was used to guide the software development process. To demonstrate its effectiveness, a case study involving the construction of an orbital simulator for predicting the mission lifetime of a CubeSat in LEO was conducted, comparing the AI-assisted software with baseline software previously developed by the team. The results demonstrate significant advantages in terms of development effort reduction, but also introduce challenges with verification.
Assessment of Generative AI Tools to Enhance Software Development for Early-Stage CubeSat Design in a Resource-Limited Environment
Utah State University, Logan, UT
For developing countries, access to space is still limited due to a lack of expertise and resources. This study assesses the extent to which generative AI can augment software development for early-stage CubeSat design in a resource-limited environment. ChatGPT-4 was used to guide the software development process. To demonstrate its effectiveness, a case study involving the construction of an orbital simulator for predicting the mission lifetime of a CubeSat in LEO was conducted, comparing the AI-assisted software with baseline software previously developed by the team. The results demonstrate significant advantages in terms of development effort reduction, but also introduce challenges with verification.
