Prediction of Fault Fix Time Transition in Large-Scale Open Source Project Data
نویسندگان
چکیده
منابع مشابه
Open source tools for large-scale neuroscience
New technologies for monitoring and manipulating the nervous system promise exciting biology but pose challenges for analysis and computation. Solutions can be found in the form of modern approaches to distributed computing, machine learning, and interactive visualization. But embracing these new technologies will require a cultural shift: away from independent efforts and proprietary methods a...
متن کاملLarge Scale Experiments Data Analysis for Estimation of Hydrodynamic Force Coefficients Part 1: Time Domain Analysis
This paper describes various time-domain methods useful for analyzing the experimental data obtained from a circular cylinder force in terms of both wave and current for estimation of the drag and inertia coefficients applicable to the Morison’s equation. An additional approach, weighted least squares method is also introduced. A set of data obtained from experiments on heavily roughened circul...
متن کاملQuality Prediction of Open Source Software for e-Governance Project
The government organizations in Africa, Asia and South America are adopting OSS solutions because of its low cost and availability of cheap skilled programmers in their countries to customize the software to their needs. In a study conducted to track the usage of OSS, it was found that OSS is extensively promoted in countries like India, China and Taiwan followed by South Korea, Malaysia, Singa...
متن کاملLarge Scale P2P Distribution of Open-Source Software
Open-source software communities currently face an increasing complexity in managing and distributing software content among their developers and contributors. This is mainly due to the continuously growing size of the software, of the community, the high frequency of updates, and the heterogeneity of the participants. We propose a large scale P2P distribution system that tackles two main issue...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Data
سال: 2019
ISSN: 2306-5729
DOI: 10.3390/data4030109