Results 11 to 20 of about 729,783 (267)
Automated Data-Processing Function Identification Using Deep Neural Network
IEEE Access, 2020 The number of software vulnerabilities is increasing year by year. In the era of big data, data-processing software with many users is more concerned by hackers.
Hongyu Kuang +4 more
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Complex Cases of Source Code Authorship Identification Using a Hybrid Deep Neural Network
Future Internet, 2022 This paper is a continuation of our previous work on solving source code authorship identification problems. The analysis of heterogeneous source code is a relevant issue for copyright protection in commercial software development. This is related to the
Anna Kurtukova +3 more
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Looking before Leaping: Creating a Software Registry
Journal of Open Research Software, 2015 What lessons can be learned from examining numerous efforts to create a repository or directory of scientist-written software for a discipline? Astronomy has seen a number of efforts to build such a resource, one of which is the Astrophysics Source Code ...
Alice Allen, Judy Schmidt
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Medienimpulse, 2011 „They say ev’rything can be replaced Yet ev’ry distance is not near “ Bob ...
Thomas Ballhausen, Lisa Leitenmüller
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Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code
IEEE Access, 2023 Source code authorship attribution is the task of identifying who develops the code based on learning based on the programmer style. It is one of the critical activities which used extensively in different aspects such as computer security, computer law,
Bilal Al-Ahmad +8 more
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A methodology of automatic class diagrams generation from source code using Model-Driven Architecture and Machine Learning to achieve Energy Efficiency [PDF]
E3S Web of Conferences, 2023 The automated generation of class diagrams is a crucial task in software engineering, facilitating the understanding, analysis, and documentation of complex software systems.
Sajji Abir +2 more
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Proceedings of the ACM on Programming Languages, 2017 In this paper, we consider the problem of source code abridgment, where the goal is to remove statements from a source code in order to display the source code in a small space, while at the same time leaving the ``important'' parts of the source code intact, so that an engineer can read the code and quickly understand purpose of the code. To this end,
Binhang Yuan +2 more
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Locating Source Code Bugs in Software Information Systems Using Information Retrieval Techniques
Big Data and Cognitive Computing, 2022 Bug localization is the process through which the buggy source code files are located regarding a certain bug report. Bug localization is an overwhelming and time-consuming process.
Ali Alawneh +2 more
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DETECTION OF SOURCE CODE IN INTERNET TEXTS USING AUTOMATICALLY GENERATED MACHINE LEARNING MODELS [PDF]
Applied Computer Science, 2022 In the paper, the authors are presenting the outcome of web scraping software allowing for the automated classification of source code. The software system was prepared for a discussion forum for software developers to find fragments of source code ...
Marcin BADUROWICZ
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Deep Code-Comment Understanding and Assessment
IEEE Access, 2019 Code comments are a key software component for program comprehension and software maintainability. High-quality code and comments are urgently needed by data-driven models widely used in tasks like code summarization.
Deze Wang +5 more
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