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» The data mining approach to automated software testing
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GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
14 years 2 months ago
Benefits of software measures for evolutionary white-box testing
White-box testing is an important method for the early detection of errors during software development. In this process test case generation plays a crucial role, defining appropr...
Frank Lammermann, Stefan Wappler
BMCBI
2008
204views more  BMCBI 2008»
13 years 8 months ago
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
Javier Forment, Francisco Gilabert Villamón...
JAR
2006
99views more  JAR 2006»
13 years 8 months ago
An Integrated Approach to High Integrity Software Verification
Using automated reasoning techniques, we tackle the niche activity of proving that a program is free from run-time exceptions. Such a property is particularly valuable in high inte...
Andrew Ireland, Bill J. Ellis, Andrew Cook, Roderi...
CORR
2010
Springer
171views Education» more  CORR 2010»
13 years 8 months ago
Reliable Mining of Automatically Generated Test Cases from Software Requirements Specification (SRS)
Writing requirements is a two-way process. In this paper we use to classify Functional Requirements (FR) and Non Functional Requirements (NFR) statements from Software Requirement...
Lilly Raamesh, G. V. Uma
MLDM
2009
Springer
14 years 1 months ago
Assisting Data Mining through Automated Planning
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
Fernando Fernández, Daniel Borrajo, Susana ...