Architecture and Knowledge Representation for Composable Inductive Programming
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Abstract (arXiv)
We present an update on the current architecture of the Zoea knowledge-based, Composable Inductive Programming system. The Zoea compiler is built using a modern variant of the black-board architecture. Zoea integrates a large number of knowledge sources that encode different aspects of programming language and software development expertise. We describe the use of synthetic test cases as a ubiquitous form of knowledge and hypothesis representation that sup-ports a variety of reasoning strategies. Some future plans are also outlined.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 4 of its 25 references that are in the map. First posted on arXiv 22 Dec 2022.
Builds on
4 of 25 references.
References · 4
- 2021Automatic Code Generation using Pre-Trained Language Modelscited by 8
- 2020Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approachescited by 6
- 2019Zoea -- Composable Inductive Programming Without Limitscited by 4
- 2020A Visual Language for Composable Inductive Programmingcited by 3
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Citing papers per year: 2023: 1.
1 paper.