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ICSE
2007
IEEE-ACM
14 years 5 months ago
Automated Generation of Context-Aware Tests
The incorporation of context-awareness capabilities into pervasive applications allows them to leverage contextual information to provide additional services while maintaining an ...
Zhimin Wang, Sebastian G. Elbaum, David S. Rosenbl...
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
14 years 2 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
DEXA
2003
Springer
147views Database» more  DEXA 2003»
13 years 10 months ago
Context-Aware Data Mining Framework for Wireless Medical Application
Abstract. Data mining, which aims at extracting interesting information from large collections of data, has been widely used as an effective decision making tool. Mining the datas...
Pravin Vajirkar, Sachin Singh, Yugyung Lee
ICSE
2004
IEEE-ACM
14 years 5 months ago
Automated Generation of Test Programs from Closed Specifications of Classes and Test Cases
Most research on automated specification-based software testing has focused on the automated generation of test cases. Before a software system can be tested, it must be set up ac...
Wee Kheng Leow, Siau-Cheng Khoo, Yi Sun
ICST
2010
IEEE
13 years 3 months ago
Automated Test Data Generation on the Analyses of Feature Models: A Metamorphic Testing Approach
A Feature Model (FM) is a compact representation of all the products of a software product line. The automated extraction of information from FMs is a thriving research topic invo...
Sergio Segura, Robert M. Hierons, David Benavides,...