Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
19
click to vote
ICSE
1999
IEEE-ACM
favorite
Email
discuss
report
112
views
Software Engineering
»
more
ICSE 1999
»
N Degrees of Separation: Multi-Dimensional Separation of Concerns
14 years 1 months ago
Download
www.cs.wustl.edu
Peri L. Tarr, Harold Ossher, William H. Harrison,
Real-time Traffic
ICSE 1999
|
Software Engineering
|
claim paper
Related Content
»
MultiDimensional Separation of Concerns in Requirements Engineering
»
Refinements and multidimensional separation of concerns
»
BoundedDegree Graphs have Arbitrarily Large Geometric Thickness
»
Bandwidth expansion treewidth separators and universality for boundeddegree graphs
»
A note concerning the closest point pair algorithm
»
Sharp Separation and Applications to Exact and Parameterized Algorithms
»
Binary is Good A Binary Inference Framework for Primary User Separation in Cognitive Radio...
»
Promoting Component Reuse by Separating Transmission Policy from Implementation
»
RAFDA Middleware Supporting the Separation of Application Logic from Distribution Policy
more »
Post Info
More Details (n/a)
Added
04 Aug 2010
Updated
04 Aug 2010
Type
Conference
Year
1999
Where
ICSE
Authors
Peri L. Tarr, Harold Ossher, William H. Harrison, Stanley M. Sutton Jr.
Comments
(0)
Researcher Info
Software Engineering Study Group
Computer Vision