preprintApr 1, 2023Closed access
ChatGPT and Software Testing Education: Promises & Perils
Indexed incrossref
Abstract
Over the past decade, predictive language modeling for code has proven to be a valuable tool for enabling new forms of automation for developers. More recently, we have seen the ad-vent of general purpose "large language models", based on neural transformer architectures, that have been trained on massive datasets of human written text, which includes code and natural language. However, despite the demonstrated representational power of such models, interacting with them has historically been constrained to specific task settings, limiting their general applicability. Many of these limitations were recently overcome with the introduction of ChatGPT, a language model created by OpenAI and trained to operate as…
Citation impact
224
total citations
- FWCI
- 97.40
- Percentile
- 100%
- References
- 27
Citations per year
Authors
5Topics & keywords
Topics
Keywords
- Computer science
- Variety (cybernetics)
- Artificial intelligence
- Natural language
- Language model
- Limiting
- Question answering
- Natural language understanding
UN Sustainable Development Goals
- Quality Education
No related works found for this paper.