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The metacognitive demands and opportunities of generative AI
Generative AI (GenAI) systems offer unprecedented opportunities for transforming
professional and personal work, yet present challenges around prompting, evaluating and …
professional and personal work, yet present challenges around prompting, evaluating and …
A large-scale survey on the usability of ai programming assistants: Successes and challenges
The software engineering community recently has witnessed widespread deployment of AI
programming assistants, such as GitHub Copilot. However, in practice, developers do not …
programming assistants, such as GitHub Copilot. However, in practice, developers do not …
On the design of ai-powered code assistants for notebooks
AI-powered code assistants, such as Copilot, are quickly becoming a ubiquitous component
of contemporary coding contexts. Among these environments, computational notebooks …
of contemporary coding contexts. Among these environments, computational notebooks …
Grounded copilot: How programmers interact with code-generating models
Powered by recent advances in code-generating models, AI assistants like Github Copilot
promise to change the face of programming forever. But what is this new face of …
promise to change the face of programming forever. But what is this new face of …
Discovering the syntax and strategies of natural language programming with generative language models
In this paper, we present a natural language code synthesis tool, GenLine, backed by 1) a
large generative language model and 2) a set of task-specific prompts that create or change …
large generative language model and 2) a set of task-specific prompts that create or change …
Exploring the learnability of program synthesizers by novice programmers
Modern program synthesizers are increasingly delivering on their promise of lightening the
burden of programming by automatically generating code, but little research has addressed …
burden of programming by automatically generating code, but little research has addressed …
Explainable program synthesis by localizing specifications
The traditional formulation of the program synthesis problem is to find a program that meets
a logical correctness specification. When synthesis is successful, there is a guarantee that …
a logical correctness specification. When synthesis is successful, there is a guarantee that …
Understanding in-situ programming for smart home automation
Programming a smart home is an iterative process in which users configure and test the
automation during the in-situ experience with IoT space. However, current end-user …
automation during the in-situ experience with IoT space. However, current end-user …
WebRobot: web robotic process automation using interactive programming-by-demonstration
It is imperative to democratize robotic process automation (RPA), as RPA has become a
main driver of the digital transformation but is still technically very demanding to construct …
main driver of the digital transformation but is still technically very demanding to construct …
Semanticon: Specifying content-based semantic conditions for web automation programs
Data scientists, researchers, and clerks often create web automation programs to perform
repetitive yet essential tasks, such as data scra** and data entry. However, existing web …
repetitive yet essential tasks, such as data scra** and data entry. However, existing web …