- author = "Stefan Wappler and Joachim Wegener",
- title = "Evolutionary Unit Testing Of Object-Oriented Software Using A Hybrid Evolutionary Algorithm",
- booktitle = "Proceedings of the 2006 IEEE Congress on Evolutionary Computation",
- year = "2006",
- editor = "Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas",
- pages = "3193--3200",
- address = "Vancouver",
- month = "16-21 " # jul,
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, SBSE",
- ISBN = "0-7803-9487-9",
-
URL = "
http://www.systematic-testing.com/documents/WCCI2006_0462.pdf",
-
DOI = "
10.1109/CEC.2006.1688400",
- size = "8 pages",
- abstract = "Evolutionary algorithms have been successfully applied in the area of software testing. However, previous approaches in the area of object-oriented testing are limited in terms of test case feasibility due to call dependences and runtime exceptions. In this paper, we present a search-based approach to automatically generating test cases for object oriented software. It relies on a tree-based representation of method call sequences. Strongly-typed genetic programming is employed to generate method call trees which respect the call dependences among the methods. We apply a new kind of distance-based fitness function that accounts for runtime exceptions. In a case study, the approach outperformed random testing in terms of achieved coverage and it produced test cases achieving full branch coverage for a test object that makes ample use of explicit runtime exceptions.",
-
notes = "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
the IEE.
IEEE Catalog Number: 06TH8846D",
