- author = "Stefan Wappler and Ina Schieferdecker",
- title = "Improving evolutionary class testing in the presence of non-public methods",
- booktitle = "ASE '07: Proceedings of the twenty-second IEEE/ACM international conference on Automated Software Engineering",
- year = "2007",
- pages = "381--384",
- address = "Atlanta, Georgia, USA",
- publisher_address = "New York, NY, USA",
- publisher = "ACM",
- keywords = "genetic algorithms, genetic programming, SBSE, unit testing, object-orientation, encapsulation, evolutionary testing, POSTER SESSION",
- isbn13 = "978-1-59593-882-4",
-
URL = "
http://www.systematic-testing.com/documents/ASE07_wappler_Paper.pdf",
-
DOI = "
doi:10.1145/1321631.1321689",
- size = "4 pages",
-
abstract = "Automating the generation of object-oriented unit
tests is a challenging task. This is mainly due to the
complexity and peculiarities that the principles of
object-orientation imply. One of these principles is
the encapsulation of class members which prevents
non-public methods and attributes of the class under
test from being freely accessed.
This paper suggests an improvement of our automated search-based test generation approach which particularly addresses the test of non-public methods. We extend our objective functions by an additional component that accounts for encapsulation. Additionally, we propose a modification of the search space which increases the efficiency of the approach. The value of the improvement in terms of achieved code coverage is demonstrated by a case study with 7 real-world test objects. In contrast to other approaches which break encapsulation in order to test non-public methods, the tests generated by our approach inherently guarantee that class invariants are not violated. At the same time, refactorings of the encapsulated class members will not break the generated tests",
- notes = "Also known as \cite{1321689}",
