Zobrazeno 1 - 10
of 435
pro vyhledávání: '"D.2.8"'
Software security mainly studies vulnerability detection: is my code vulnerable today? This hinders risk estimation, so new approaches are emerging to forecast the occurrence of future vulnerabilities. While useful, these approaches are coarse-graine
Externí odkaz:
http://arxiv.org/abs/2411.11202
In order to detect performance changes, measurements are performed with the same execution environment. In cloud environments, the noise from different processes running on the same cluster nodes might change measurement results and thereby make perf
Externí odkaz:
http://arxiv.org/abs/2411.05491
Deep learning has been proven to be a powerful tool for addressing the most significant issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource allocation, and security attacks. The utilization of deep learning techni
Externí odkaz:
http://arxiv.org/abs/2410.23949
Autor:
Eertmans, Jérome, Di Cicco, Nicola, Oestges, Claude, Jacques, Laurent, Vittuci, Enrico M., Degli-Esposti, Vittorio
Radio propagation modeling is essential in telecommunication research, as radio channels result from complex interactions with environmental objects. Recently, Machine Learning has been attracting attention as a potential alternative to computational
Externí odkaz:
http://arxiv.org/abs/2410.23773
Autor:
Eertmans, Jérome, Vittuci, Enrico Maria, Esposti, Vittorio Degli, Jacques, Laurent, Oestges, Claude
With the increasing presence of dynamic scenarios, such as Vehicle-to-Vehicle communications, radio propagation modeling tools must adapt to the rapidly changing nature of the radio channel. Recently, both Differentiable and Dynamic Ray Tracing frame
Externí odkaz:
http://arxiv.org/abs/2410.14535
Autor:
Paradis, Elise, Grey, Kate, Madison, Quinn, Nam, Daye, Macvean, Andrew, Meimand, Vahid, Zhang, Nan, Ferrari-Church, Ben, Chandra, Satish
How much does AI assistance impact developer productivity? To date, the software engineering literature has provided a range of answers, targeting a diversity of outcomes: from perceived productivity to speed on task and developer throughput. Our ran
Externí odkaz:
http://arxiv.org/abs/2410.12944
Autor:
Bishop III, Vincil, Simske, Steven J
The durability and quality of software contributions are critical factors in the long-term maintainability of a codebase. This paper introduces the Time to Modification (TTM) Theory, a novel approach for quantifying code quality by measuring the time
Externí odkaz:
http://arxiv.org/abs/2410.11768
Autor:
Bishop III, Vincil, Simske, Steven
The "Theory of Contribution Rate Imputation" estimates developer effort by analyzing historical commit data and typical development rates. Building on the Time-Delta Method, this approach calculates unobserved work periods using metrics like cyclomat
Externí odkaz:
http://arxiv.org/abs/2410.09285
Autor:
Augeri, Christopher James, Mullins, Barry E., Baird III, Leemon C., Bulutoglu, Dursun A., Baldwin, Rusty O.
Publikováno v:
Proceedings of the 2007 workshop on Experimental Computer Science (ExpCS) at ACM FCRC 2007
XML simplifies data exchange among heterogeneous computers, but it is notoriously verbose and has spawned the development of many XML-specific compressors and binary formats. We present an XML test corpus and a combined efficiency metric integrating
Externí odkaz:
http://arxiv.org/abs/2410.07603
Publikováno v:
in Proceedings of the 5th IEEE International Symposium on the Internet of Sounds (IEEE IS2 2024, https://internetofsounds.net/is2_2024/)
This paper explores a structured application of the One-Class approach and the One-Class-One-Network model for supervised classification tasks, focusing on vowel phonemes classification and speakers recognition for the Automatic Speech Recognition (A
Externí odkaz:
http://arxiv.org/abs/2410.04098