don't leave patch management to chance
Clicks: 81
ID: 225088
2005
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
24.0
/100
80 views
11 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Patch management is a costly but necessary part of server management. Should more time be spent on patch evaluation and analysis or testing and implementation? This paper attempts to introduce conditional probability into the patch management process giving the reader a tool to evaluate where best to spend their time, analysis or testing. Bayes’ theorem will be used to help predict the outcome of a patch management example.
| Reference Key |
defrangesco2005australasiandon't
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Ralph DeFrangesco |
| Journal | expert review of clinical pharmacology |
| Year | 2005 |
| DOI |
10.3127/ajis.v13i1.62
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.