• Suche: "source code analysis"

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1

Evaluating Small-Scale Code Models for Code Clone Detection
Martinez-Gil, Jorge ; Software Competence Center Hagenberg (SCCH) ; University of Linz - Johannes Kepler Universität Linz (JKU)

Source Code Analysis Code Clone Detection Benchmarking Transformers Small Code Models Transformers model …
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2

Energy Codesumption, Leveraging Test Execution for Source Code Energy Consumption Analysis
Jérôme Maquoi ; Maxime Cauz ; Benoit Vanderose ; et al.
Maquoi, J, Cauz, M, Vanderose, B & Devroey, X 2025, Energy Codesumption, Leveraging Test Execution for Source Code Energy Consumption Analysis. in J Li (ed.), FSE Companion 2025-Companion Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering. Proceedings of the ACM SIGSOFT Symposium on the Foundations of Software Engineering, ACM Press, Trondheim, Norway, pp. 1432-1436, 33rd ACM International Conference on the Foundations of Software Engineering, Trondheim, Norway, 23/06/25. https://doi.org/10.1145/3696630.3728707

source code analysis energy consumption java test execution
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3

Quantifying the researcher degrees of freedom in FMRI preprocessing
Atay, Melvin Selim ; Clénet, Boris ; Bannier, Elise ; et al.

Analytical variability reproducibility source code analysis open source task-fMRI [INFO.INFO-BI]Computer S... …
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4

Information-theoretic detection of unusual source code changes
Torres, Adriano ; Baltes, Sebastian ; Treude, Christoph ; et al.
Empirical Software Engineering: An International Journal. 30(5)

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5

Drilling Down I/O Bottlenecks with Cross-layer I/O Profile Exploration
Ather, Hammad ; Bez, Jean Luca ; Xia, Yankun ; et al.
PROCEEDINGS 2024 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, IPDPS 2024. 00

46 Information and Compu... 4612 Software Engineerin... I/O bottleneck source code analysis root causes
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6

A Comprehensive Content-Based Recommendation System for Programming Problems Through Multi-Faceted Code Analysis
Daniel M. Muepu ; Yutaka Watanobe ; Md. Faizul Ibne Amin
IEEE Access, Vol 13, Pp 93712-93734 (2025)

source code analysis online judge system programming education Recommender systems content-based filtering Electrical engineering.... …
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7

A machine learning approach to vulnerability detection combining software metrics and topic modelling: Evidence from smart contracts
Giacomo Ibba ; Rumyana Neykova ; Marco Ortu ; et al.
Machine Learning with Applications, Vol 22, Iss , Pp 100759- (2025)

Vulnerability detection Software metrics Topic modelling Machine learning Source code analysis Smart contracts …
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8

Boosting source code learning with text-oriented data augmentation: an empirical study
Dong, Zeming ; Hu, Qiang ; Guo, Yuejun ; et al.
Empirical Software Engineering: An International Journal. 30(3)

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9

On Developing and Improving Tools for Architecture-Smell Tracking in Java Systems
Gnoyke, Philipp ; Schulze, Sandro ; Krüger, Jacob
2023 IEEE 23rd International Working Conference on Source Code Analysis and Manipulation (SCAM). :248-253

Source-Code Analysis Software Tools Tracking Software Evolution Architecture Smells Software evolution …
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10

Dataset of Functionally Equivalent Java Methods and Its Application to Evaluating Clone Detection Tools
Higo, Yoshiki
IEICE Transactions on Information and Systems. :751-760

source code analysis dataset code clone functionally-equivalent...
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11

Analysing the Analysers: An Investigation of Source Code Analysis Tools
Vikram Bhutani ; Farshad Ghassemi Toosi ; Jim Buckley ; et al.
Applied Computer Systems, Vol 29, Iss 1, Pp 98-111 (2024)

code quality QA76.75-76.765 object oriented paradigm 0202 electrical engineer... Information and computin... Computer software …
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12

Leveraging pre-trained language models for code generation
Ahmed Soliman ; Samir I. Shaheen ; Mayada Hadhoud
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 3955-3980 (2024)

FOS: Computer and inform... Syntax-based Translation... Code Clone Detection Artificial intelligence Language models Set (abstract data type) …
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13

A systematic mapping study on graph machine learning for static source code analysis
Maarleveld, Jesse ; Guo, Jiapan ; Feitosa, Daniel
In Information and Software Technology July 2025 183

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14

PRCollector: Facilitating On-Demand Collection of Pull Request Data From GitHub
Bowen Tang ; Katsuhisa Maruyama
IEEE Access, Vol 13, Pp 150608-150622 (2025)

Empirical software engin... open-source software pro... pull request dataset repository software mining source code analysis …
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15

Smell-Aware Bug Classification
null Khyber ; Sikandar Ali ; Fazli Wahid ; et al.
IEEE Access, Vol 12, Pp 14061-14082 (2024)

FOS: Computer and inform... Code Clone Detection Artificial intelligence source code Support vector machine smell-aware …
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16

Enhancing Software Co-Change Prediction: Leveraging Hybrid Approaches for Improved Accuracy
Mohammed Zagane ; Mamdouh Alenezi
IEEE Access, Vol 12, Pp 68441-68452 (2024)

FOS: Computer and inform... Code Clone Detection Artificial intelligence Computer Networks and Co... Software Defect Predicti... 12. Responsible consumpt... …
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17

Selecting the Best Compiler Optimization by Adopting Natural Language Processing
Hameeza Ahmed ; Muhammad Fahim Ul Haque ; Hashim Raza Khan ; et al.
IEEE Access, Vol 12, Pp 121700-121711 (2024)

source code analysis Compiler vectorization regression Electrical engineering.... natural language process... …
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18

Source Code Features and their Dependencies: An Aggregative Statistical Analysis on Open-Source Java Software Systems
Farshad Ghassemi Toosi
Applied Computer Systems, Vol 28, Iss 2, Pp 221-231 (2023)

source code analysis source code feature extr... QA76.75-76.765 object oriented principl... 0202 electrical engineer... Computer software …
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19

Do CONTRIBUTING Files Provide Information about OSS Newcomers’ Onboarding Barriers?
Felipe Fronchetti ; David Shepherd ; Igor Wiese ; et al.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. :16-28

FOS: Computer and inform... Knowledge management Social Sciences Onboarding Social psychology Data science …
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20

GLICE: Combining Graph Neural Networks and Program Slicing to Improve Software Vulnerability Detection: Combining Graph Neural Networks and Program Slicing to Improve Software Vulnerability Detection
Kraker, Wesley De ; Vranken, Harald ; Hommmersom, Arjen
EuroS&PW 2023: 8th IEEE European Symposium on Security and Privacy Workshops 3–7 July 2023 Delft, Netherlands. Proceedings, pp. 34-41
Kraker, W D, Vranken, H & Hommmersom, A 2023, GLICE : Combining Graph Neural Networks and Program Slicing to Improve Software Vulnerability Detection. in 8th IEEE European Symposium on Security and Privacy Workshops. Institute of Electrical and Electronics Engineers Inc., pp. 34-41, 8th IEEE European Symposium on Security and Privacy Workshops, Delft, Netherlands, 3/07/23. https://doi.org/10.1109/eurospw59978.2023.00009

Vulnerability detection Software Science Static source code analy... Digital Security Program slicing Graph neural network
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