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The Premature Obituary of Programming

https://doi.org/10.1145/3555367
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10009-013-0287-9openalex-snapshot
Algorithmic program synthesis: introduction
inferredcites →https://doi.org/10.1145/3208071openalex-snapshot
Search-based program synthesis
inferredcites →https://doi.org/10.1145/3510003.3510203openalex-snapshot
Jigsaw
inferredcites →https://doi.org/10.1613/jair.5714openalex-snapshot
Learning Explanatory Rules from Noisy Data
inferredcites →https://doi.org/10.2753/mis0742-1222230307openalex-snapshot
Using Enterprise Architecture Standards in Managing Information Technology
inferredcites →https://doi.org/10.4230/lipics.ecoop.2024.23openalex-snapshot
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
inferredcites →https://doi.org/10.48550/arxiv.2102.04664openalex-snapshot
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Is ChatGPT 3 Safe for Students?
inferred← citeshttps://doi.org/10.1007/s10270-023-01136-yopenalex-snapshot
On the persistent rumors of the programmer’s imminent demise
inferred← citeshttps://doi.org/10.1007/s10270-024-01183-zopenalex-snapshot
ModelXGlue: a benchmarking framework for ML tools in MDE
inferred← citeshttps://doi.org/10.1109/cars61786.2024.10778769openalex-snapshot
Exploring AI for Vulnerability Detection and Repair
inferred← citeshttps://doi.org/10.1109/cseet66350.2025.00007openalex-snapshot
Insights from the Frontline: GenAI Utilization Among Software Engineering Students
inferred← citeshttps://doi.org/10.1109/educon60312.2024.10578869openalex-snapshot
Experiences and Proposals of Use of Generative AI in Advanced Software Courses
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650888openalex-snapshot
AI-augmented Framework to Enable Process Awareness in Collaborative Teams
inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3514774openalex-snapshot
Cost-Sensitive Hypergraph Learning With Structure Quality Preservation for IoT Software Defect Prediction
inferred← citeshttps://doi.org/10.1111/jcal.70043openalex-snapshot
From Imitation Games to Robot‐Teachers: A Review and Discussion of the Role of LLMs in Computing Education
inferred← citeshttps://doi.org/10.1145/3597503.3639201openalex-snapshot
How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering
inferred← citeshttps://doi.org/10.1145/3624720openalex-snapshot
Computing Education in the Era of Generative AI
inferred← citeshttps://doi.org/10.1145/3631802.3631807openalex-snapshot
What Skills Do You Need When Developing Software Using ChatGPT? (Discussion Paper)
inferred← citeshttps://doi.org/10.1145/3639562openalex-snapshot
The Myth of the Coder
inferred← citeshttps://doi.org/10.1145/3680410openalex-snapshot
On Program Synthesis and Large Language Models
inferred← citeshttps://doi.org/10.1145/3771937openalex-snapshot
On Developers’ Self-Declaration of AI-Generated Code: An Analysis of Practices
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1011511openalex-snapshot
Evaluating a large language model’s ability to solve programming exercises from an introductory bioinformatics course
inferred← citeshttps://doi.org/10.3389/frai.2024.1436350openalex-snapshot
Software engineering education in the era of conversational AI: current trends and future directions
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