Results 21 to 30 of about 12,796,570 (330)
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding [PDF]
International Conference on Software Engineering, 2021 With the great success of pre-trained models, the pretrain-then-fine tune paradigm has been widely adopted on downstream tasks for source code understanding.
Deze Wang +6 more
semanticscholar +1 more source
Code Flows: Visualizing Structural Evolution of Source Code [PDF]
, 2008 Understanding detailed changes done to source code is of great importance in software maintenance. We present Code Flows, a method to visualize the evolution of source code geared to the understanding of fine and mid-level scale changes across several ...
Telea, Alexandru,, Auber, David,
core +12 more sources
AI, 2021 In recent years, the use of deep learning in language models has gained much attention. Some research projects claim that they can generate text that can be interpreted as human writing, enabling new possibilities in many application areas.
Juan Cruz-Benito +3 more
doaj +1 more source
Intellectual property rights in the era of Italian “artificial” public decisions: time to collapse?
Rivista Italiana di Informatica e Diritto, 2023 Considering that the Public Administration may not be able to internally develop the technologies necessary for its digital transformation process, having to procure them on the private market, the exclusivity of copy-right could affirm an unprecedented ...
Massimo Farina
doaj +1 more source
Code Structure–Guided Transformer for Source Code Summarization [PDF]
ACM Transactions on Software Engineering and Methodology, 2021 Code summaries help developers comprehend programs and reduce their time to infer the program functionalities during software maintenance. Recent efforts resort to deep learning techniques such as sequence-to-sequence models for generating accurate code ...
Shuzheng Gao +6 more
semanticscholar +1 more source
Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention
IEEE Transactions on Software Engineering, 2022 Code summarization (aka comment generation) provides a high-level natural language description of the function performed by code, which can benefit the software maintenance, code categorization and retrieval.
Wenhua Wang +7 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
Social Development & Security, 2022 The issues of possibility of application of the code reuse mechanism in the process of designing and developing software of knowledge-oriented systems have been considered.
Serhii Osiievskyi +5 more
doaj +1 more source
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,
Yuan, Binhang +2 more
openaire +2 more sources