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» Genetic programming - a tool for flexible rule extraction
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ICST
2009
IEEE
13 years 6 months ago
A Flexible Framework for Quality Assurance of Software Artefacts with Applications to Java, UML, and TTCN-3 Test Specifications
Manual reviews and inspections of software artefacts are time consuming and thus, automated analysis tools have been developed to support the quality assurance of software artefac...
Jens Nodler, Helmut Neukirchen, Jens Grabowski
CEC
2008
IEEE
14 years 3 months ago
Policy evolution with Genetic Programming: A comparison of three approaches
— In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is now much more complex. Subt...
Yow Tzu Lim, Pau-Chen Cheng, John Andrew Clark, Pa...
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
14 years 1 months ago
Adapting Representation in Genetic Programming
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees....
Cezary Z. Janikow
COMPSAC
1996
IEEE
14 years 21 days ago
Business Rule Extraction from Legacy Code
Business rules are operational rules that business organizationsfollow to peq%rm various activities. Over time, business rules evolve and the software that implemented them are al...
Hai Huang, Wei-Tek Tsai, Sourav Bhattacharya, Xiao...
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 9 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen