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
28
click to vote
SOFSEM
2010
Springer
favorite
Email
discuss
report
169
views
Theoretical Computer Science
»
more
SOFSEM 2010
»
Model-Driven Software Product Line Testing: An Integrated Approach
14 years 5 months ago
Download
www.sofsem.cz
Andy Schürr, Sebastian Oster, Florian Markert
Real-time Traffic
SOFSEM 2010
|
Theoretical Computer Science
|
claim paper
Related Content
»
Product Line Implementation using AspectOriented and ModelDriven Software Development
»
Product Derivation in a ModelDriven Software Product Line using Decision Models
»
Model Driven Development of Software Product Lines
»
A ModelDriven Approach to Variability Management in ProductLine Engineering
»
Enterprise application deployment A model driven approach
»
Using Incremental Consistency Management for Conformance Checking in FeatureOriented Model...
»
Adopting Computational Independent Models for Derivation of Architectural Requirements of ...
»
Dealing with NonFunctional Requirements in ModelDriven Development
»
Testing Software Product Lines Using Incremental Test Generation
more »
Post Info
More Details (n/a)
Added
18 May 2010
Updated
18 May 2010
Type
Conference
Year
2010
Where
SOFSEM
Authors
Andy Schürr, Sebastian Oster, Florian Markert
Comments
(0)
Researcher Info
Theoretical Computer Science Study Group
Computer Vision