Results 211 to 220 of about 142,773 (238)
Some of the next articles are maybe not open access.

Design and implementation: Dealing with large-scale bug traces [Series Editorial]

IEEE Communications Magazine, 2014
As our networks, hosts, and services become complex, and indeed, as the number of networks, hosts, and services grow and shrink on demand through the magic of virtualization, uncovering software defects by analyzing packet traces are becoming even more important. A by-product of Big Data appears to be Big Traces as well.
Vijay Gurbani, Salvatore Loreto
openaire   +1 more source

Time series prediction of debian bug data using autoregressive neural network

2013 4th International Conference on Computer and Communication Technology (ICCCT), 2013
Predicting the increasing or decreasing bug numbers is an important factor that affect the decision making process of the software managers. Software managers can make timely decisions, such as effort investment and allocation of resources by predicting the bug number of a software system accurately.
Jayadeep Pati, K. K. Shukla
openaire   +1 more source

Psychiatric Consequences of Actual Versus Feared and Perceived Bed Bug Infestations: A Case Series Examining a Current Epidemic

Psychosomatics, 2012
Bed bugs have plagued humans since the beginning of history and have been mentioned in classical Greek writings dating back to the era of Aristotle as well as in medieval European texts. With the introduction of the pesticide dichlorodiphenyltrichloroethane (DDT) in the 1950s, bedbugs were virtually eradicated in the United States.
Evan, Rieder   +5 more
openaire   +2 more sources

BugCat: A Novel Approach to Bug Number Categorization with Multi-modal Time Series Learning

2022
Wen Zhang   +5 more
openaire   +1 more source

Improving high-impact bug report prediction with combination of interactive machine learning and active learning

Information and Software Technology, 2021
Xiaoxue Wu, Wei Zheng, Xiang Chen
exaly  

TSGuard: Detecting Logic Bugs in Time Series Management Systems Via Time Series Algebra

2025 IEEE International Conference on Software Maintenance and Evolution (ICSME)
Lingwei Kuang   +7 more
openaire   +1 more source

A spatial–temporal graph neural network framework for automated software bug triaging

Knowledge-Based Systems, 2022
Wu Hongrun, Yutao, Zhenglong Xiang
exaly  

A survey on bug prioritization

Artificial Intelligence Review, 2016
Jamal Uddin   +2 more
exaly  

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