Amanote Research
Register
Sign In
Scalable Test Data Generation From Multidimensional Models
doi 10.1145/2393596.2393637
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2012
Authors
Emina Torlak
Publisher
ACM Press
Related search
SkipTree: A Scalable Range-Queryable Distributed Data Structure for Multidimensional Data
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Scalable, Updatable Predictive Models for Sequence Data
Automated Test Data Generation on the Analyses of Feature Models: A Metamorphic Testing Approach
Scalable Preference Learning From Data Streams
Reducibility of Sequential Test Generation to Combinational Test Generation for Several Delay Fault Models
From Multidimensional Signals to the Generation of Responses
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Towards the Automated Generation of Consistent, Diverse, Scalable and Realistic Graph Models
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Test Generation Driven by User-Defined Fault Models
IFIP Advances in Information and Communication Technology
Computer Networks
Information Systems
Management
Communications
Sequential Circuit Test Generation Using Decision Diagram Models