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Publication search results
found 111 matches
- 2024
- Fangwei Chen, Li Zhang, Xiaoli Lian:
CDTC: Automatically establishing the trace links between class diagrams in design phase and source code. Softw. Pract. Exp. 54(2): 281-307 (2024) - Eman Abdullah AlOmar, Mohamed Wiem Mkaouer, Ali Ouni:
Automating Source Code Refactoring in the Classroom. SIGCSE (1) 2024: 60-66 - Yong Ma, Senlin Luo, Yu-Ming Shang, Yifei Zhang, Zhengjun Li:
CodePrompt: Improving Source Code-Related Classification with Knowledge Features through Prompt Learning. CoRR abs/2401.05544 (2024) - 2023
- Valeria Mercuri, Martina Saletta, Claudio Ferretti:
Evolutionary Approaches for Adversarial Attacks on Neural Source Code Classifiers. Algorithms 16(10): 478 (2023) - Jose Miguel Llanos Mosquera, Carlos Giovanny Hidalgo Suarez, Víctor Andrés Bucheli Guerrero:
Effect of flipped classroom and automatic source code evaluation in a CS1 programming course according to the Kirkpatrick evaluation model. Educ. Inf. Technol. 28(10): 13235-13252 (2023) - Artyom V. Gorchakov, Liliya A. Demidova, Peter N. Sovietov:
Analysis of Program Representations Based on Abstract Syntax Trees and Higher-Order Markov Chains for Source Code Classification Task. Future Internet 15(9): 314 (2023) - Yukun Dong, Yeer Tang, Xiaotong Cheng, Yufei Yang:
DeKeDVer: A deep learning-based multi-type software vulnerability classification framework using vulnerability description and source code. Inf. Softw. Technol. 163: 107290 (2023) - Hayato Sato, Hiroshi Inamura, Shigemi Ishida, Yoshitaka Nakamura:
Plain Source Code Obfuscation as an Effective Attack Method on IoT Malware Image Classification. COMPSAC 2023: 940-945 - Patcharaprapa Khamkhiaw, Chartchai Doungsa-ard, Passakorn Phannachitta:
The Source Code Maintenance Time Classifications from Code Smell. EIDWT 2023: 22-32 - Zhi Sun, Ye Han, Da He, BingWen Wang, Ling Zhang, Deming Mao:
Semi-supervised Learning for Source Code Function Classification Using Hierarchical Density-Based Clustering. ICSRS 2023: 513-517 - Maximilian Kaul, Alexander Küchler, Christian Banse:
A Uniform Representation of Classical and Quantum Source Code for Static Code Analysis. QCE 2023: 1013-1019 - Paul Maximilian Bittner, Christof Tinnes, Alexander Schultheiß, Sören Viegener, Timo Kehrer, Thomas Thüm:
Classifying Edits to Variability in Source Code - Summary. Software Engineering 2023: 39-40 - Seunghoon Woo, Eunjin Choi, Heejo Lee, Hakjoo Oh:
V1SCAN: Discovering 1-day Vulnerabilities in Reused C/C++ Open-source Software Components Using Code Classification Techniques. USENIX Security Symposium 2023: 6541-6556 - Cezar Sas, Andrea Capiluppi:
Weak Labelling for File-level Source Code Classification. SANER 2023: 698-702 - Vivien Zahs, Katharina Anders, Julia Kohns, Alexander Stark, Bernhard Höfle:
Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data [Data and Source Code]. heiDATA, 2023 - Vivien Zahs, Katharina Anders, Julia Kohns, Alexander Stark, Bernhard Höfle:
Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data [Data and Source Code]. heiDATA, 2023 - Maximilian Kaul, Alexander Küchler, Christian Banse:
A Uniform Representation of Classical and Quantum Source Code for Static Code Analysis. CoRR abs/2308.06113 (2023) - Eman Abdullah AlOmar, Mohamed Wiem Mkaouer, Ali Ouni:
Automating Source Code Refactoring in the Classroom. CoRR abs/2311.10753 (2023) - 2022
- Aleksandar Kovacevic, Jelena Slivka, Dragan Vidakovic, Katarina-Glorija Grujic, Nikola Luburic, Simona Prokic, Goran Sladic:
Automatic detection of Long Method and God Class code smells through neural source code embeddings. Expert Syst. Appl. 204: 117607 (2022) - Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva:
Making the Most of Scarce Input Data in Deep Learning-Based Source Code Classification for Heterogeneous Device Mapping. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(6): 1636-1648 (2022) - Ayman Hussien Odeh, Munther Odeh, Nada Odeh:
Using Multinomial Naive Bayes Machine Learning Method To Classify, Detect, And Recognize Programming Language Source Code. ACIT 2022: 1-5 - Martina Saletta, Claudio Ferretti:
A Grammar-based Evolutionary Approach for Assessing Deep Neural Source Code Classifiers. CEC 2022: 1-8 - Dario Branco, Luigi Cuccaro, Beniamino Di Martino:
Software Reuse Enabled by Machine Learning Based Source Code Analysis: A Case for Automated Classification of OpenSource Software with Respect to Requirements. CISIS 2022: 467-476 - Soumen Paul:
Source Code Comment Classification using Logistic Regression and Support Vector Machine. FIRE (Working Notes) 2022: 53-59 - Amisha Shingala, Namrata Shroff:
Comments in Source Code: A classification approach. FIRE (Working Notes) 2022: 74-79 - Ke Liu, Guang Yang, Xiang Chen, Yanlin Zhou:
EL-CodeBert: Better Exploiting CodeBert to Support Source Code-Related Classification Tasks. Internetware 2022: 147-155 - Paul Maximilian Bittner, Christof Tinnes, Alexander Schultheiß, Sören Viegener, Timo Kehrer, Thomas Thüm:
Classifying edits to variability in source code. ESEC/SIGSOFT FSE 2022: 196-208 - Jonathan Camargo, Will Flanagan, Noel Csomay-Shanklin, Bharat Kanwar, Aaron J. Young:
Feature tables and source code for Camargo et al. A Machine Learning Strategy for Locomotion Classification and Parameter Estimation using Fusion of Wearable Sensors. Transactions on Biomedical Engineering. 2021. IEEE DataPort, 2022 - 2021
- Francesco Barchi, Emanuele Parisi, Gianvito Urgese, Elisa Ficarra, Andrea Acquaviva:
Exploration of Convolutional Neural Network models for source code classification. Eng. Appl. Artif. Intell. 97: 104075 (2021) - Lobna Ghadhab, Ilyes Jenhani, Mohamed Wiem Mkaouer, Montassar Ben Messaoud:
Augmenting commit classification by using fine-grained source code changes and a pre-trained deep neural language model. Inf. Softw. Technol. 135: 106566 (2021)
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