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Dataset of Program Source Codes Solving Unique Programming Exercises Generated by Digital Teaching Assistant

https://doi.org/10.3390/data8060109
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What this work says

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

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An open graph visualization system and its applications to software engineering
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Introducing Markdown and Pandoc
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Mining Patterns in Source Code Using Tree Mining Algorithms
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Detecting Energy Bugs in Android Apps Using Static Analysis
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Performance and isolation analysis of RunC, gVisor and Kata Containers runtimes
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A Comparative Study of Industrial Static Analysis Tools
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Constraint satisfaction problems: Algorithms and applications
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PDetect: A Clustering Approach for Detecting Plagiarism in Source Code Datasets
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Divergence measures based on the Shannon entropy
inferredcites →https://doi.org/10.1109/access.2020.2990980openalex-snapshot
Building a Comprehensive Automated Programming Assessment System
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Identification of high-level concept clones in source code
inferredcites →https://doi.org/10.1109/ase.2019.00064openalex-snapshot
DIRE: A Neural Approach to Decompiled Identifier Naming
inferredcites →https://doi.org/10.1109/dsaa49011.2020.00096openalex-snapshot
Cluster Quality Analysis Using Silhouette Score
inferredcites →https://doi.org/10.1109/icmla.2018.00120openalex-snapshot
Automated Vulnerability Detection in Source Code Using Deep Representation Learning
inferredcites →https://doi.org/10.1109/icse.2007.30openalex-snapshot
DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones
inferredcites →https://doi.org/10.1109/icse43902.2021.00060openalex-snapshot
A Context-Based Automated Approach for Method Name Consistency Checking and Suggestion
inferredcites →https://doi.org/10.1109/iwcia47330.2019.8955090openalex-snapshot
Code Completion for Programming Education based on Recurrent Neural Network
inferredcites →https://doi.org/10.1109/ms.2008.130openalex-snapshot
Using Static Analysis to Find Bugs
inferredcites →https://doi.org/10.1109/ms.2016.147openalex-snapshot
Cyclomatic Complexity
inferredcites →https://doi.org/10.1109/snpd.2009.62openalex-snapshot
Automatic Source Code Plagiarism Detection
inferredcites →https://doi.org/10.1109/tele52840.2021.9482762openalex-snapshot
Automatic Generation of Programming Exercises
inferredcites →https://doi.org/10.1109/tele55498.2022.9801060openalex-snapshot
Digital Teaching Assistant for the Python Programming Course
inferredcites →https://doi.org/10.1145/1595696.1595728openalex-snapshot
Learning from examples to improve code completion systems
inferredcites →https://doi.org/10.1145/2325296.2325344openalex-snapshot
PETCHA
inferredcites →https://doi.org/10.1145/2491411.2501854openalex-snapshot
Scalable and incremental software bug detection
inferredcites →https://doi.org/10.1145/2635868.2635901openalex-snapshot
Mining idioms from source code
inferredcites →https://doi.org/10.1145/3021460.3021473openalex-snapshot
Unsupervised Learning Based Approach for Plagiarism Detection in Programming Assignments
inferredcites →https://doi.org/10.1145/3194164.3194186openalex-snapshot
Cognitive complexity
inferredcites →https://doi.org/10.1145/3287324.3287507openalex-snapshot
Comparing Jailed Sandboxes vs Containers Within an Autograding System
inferredcites →https://doi.org/10.1145/3290353openalex-snapshot
code2vec: learning distributed representations of code
inferredcites →https://doi.org/10.1145/3292500.3330699openalex-snapshot
Pythia: AI-assisted Code Completion System
inferredcites →https://doi.org/10.1145/3468264.3468606openalex-snapshot
Authorship attribution of source code: a language-agnostic approach and applicability in software engineering
inferredcites →https://doi.org/10.1145/3540250.3549143openalex-snapshot
Making Python code idiomatic by automatic refactoring non-idiomatic Python code with pythonic idioms
inferredcites →https://doi.org/10.21667/1995-4565-2022-81-51-64openalex-snapshot
CLUSTERING OF PROGRAM SOURCE TEXT REPRESENTATIONS BASED ON MARKOV CHAINS
inferredcites →https://doi.org/10.32362/2500-316x-2022-10-3-7-23openalex-snapshot
Pedagogical design of a digital teaching assistant in massive professional training for the digital economy
inferredcites →https://doi.org/10.3390/a15090329openalex-snapshot
Classification of Program Texts Represented as Markov Chains with Biology-Inspired Algorithms-Enhanced Extreme Learning Machines
inferredcites →https://doi.org/10.3390/e21050485openalex-snapshot
On the Jensen–Shannon Symmetrization of Distances Relying on Abstract Means
inferredcites →https://doi.org/10.3390/jimaging8040113openalex-snapshot
Fuzzy Information Discrimination Measures and Their Application to Low Dimensional Embedding Construction in the UMAP Algorithm
inferredcites →https://doi.org/10.3390/software1010002openalex-snapshot
Automated Code Assessment for Education: Review, Classification and Perspectives on Techniques and Tools
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
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Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
inferredcites →https://doi.org/10.5281/zenodo.16435756openalex-snapshot
A Statistical Method for Evaluating Systematic Relationships

What points at this work

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

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Algorithm for Detecting Anomalous Student Activities in the Online Learning Process Based on Box Plots
inferred← citeshttps://doi.org/10.1109/summa60232.2023.10349673openalex-snapshot
An Approach to Identifying Suspicious Student Activities During Online Programming Training Based on One-Class Classifiers
inferred← citeshttps://doi.org/10.1109/summa64428.2024.10803670openalex-snapshot
Source Code Embeddings Based on Control Flow Graphs and Markov Chains for Program Classification
inferred← citeshttps://doi.org/10.1109/summa64428.2024.10803826openalex-snapshot
An Approach to Comparative Analysis of Online Programming Education Datasets Based on Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1145/3623762.3633499openalex-snapshot
The Robots Are Here: Navigating the Generative AI Revolution in Computing Education
inferred← citeshttps://doi.org/10.1145/3769994.3770017openalex-snapshot
Failures in Reliably Assessing Program Code Readability
inferred← citeshttps://doi.org/10.25559/injoit.2307-8162.12.202404.68-76openalex-snapshot
An Approach to Generating Recommendations for Improving the Performance of Software for Heterogeneous Computing Platforms
inferred← citeshttps://doi.org/10.3389/fpsyg.2026.1929887openalex-snapshot
Reflective AI use and student engagement in AI-supported programming: technology acceptance, programming self-efficacy, and behavioral trace evidence
inferred← citeshttps://doi.org/10.3390/computers13030075openalex-snapshot
A Rule-Based Algorithm and Its Specializations for Measuring the Complexity of Software in Educational Digital Environments
inferred← citeshttps://doi.org/10.3390/data8080129openalex-snapshot
Anomaly Detection in Student Activity in Solving Unique Programming Exercises: Motivated Students against Suspicious Ones
inferred← citeshttps://doi.org/10.3390/fi15090314openalex-snapshot
Analysis of Program Representations Based on Abstract Syntax Trees and Higher-Order Markov Chains for Source Code Classification Task
inferred← citeshttps://doi.org/10.48550/arxiv.2310.00658openalex-snapshot
The Robots are Here: Navigating the Generative AI Revolution in Computing Education
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