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» The data mining approach to automated software testing
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XPU
2004
Springer
14 years 2 months ago
Generative Acceptance Testing for Difficult-to-Test Software
Abstract. While there are many excellent acceptance testing tools and frameworks available today, this paper presents an alternative approach, involving generating code from tests ...
Jennitta Andrea
ILP
2003
Springer
14 years 1 months ago
Mining Model Trees: A Multi-relational Approach
In many data mining tools that support regression tasks, training data are stored in a single table containing both the target field (dependent variable) and the attributes (indepe...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 9 months ago
Maximum profit mining and its application in software development
While most software defects (i.e., bugs) are corrected and tested as part of the lengthy software development cycle, enterprise software vendors often have to release software pro...
Charles X. Ling, Victor S. Sheng, Tilmann F. W. Br...
ICSE
2004
IEEE-ACM
14 years 8 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
PKDD
2010
Springer
127views Data Mining» more  PKDD 2010»
13 years 6 months ago
Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs
Defect localisation is essential in software engineering and is an important task in domain-specific data mining. Existing techniques building on call-graph mining can localise dif...
Frank Eichinger, Klaus Krogmann, Roland Klug, Klem...