- author = "Paolo Tonella",
- title = "Evolutionary Testing of Classes",
- booktitle = "Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)",
- year = "2004",
- editor = "Gregg Rothermel",
- pages = "119--128",
- address = "Boston, MA, USA",
- publisher_address = "New York, NY, USA",
- month = "11-14 " # jul,
- publisher = "ACM",
- keywords = "genetic algorithms, genetic programming, SBSE, Verification, eToc, Java, Junit, object-Oriented testing, automated testcase generation, Testing and Debugging",
- ISBN = "1-58113-820-2",
-
URL = "
http://selab.fbk.eu/tonella/papers/issta2004.ps.gz",
-
DOI = "
doi:10.1145/1007512.1007528",
- size = "10 pages",
-
abstract = "Object oriented programming promotes reuse of classes
in multiple contexts. Thus, a class is designed and
implemented with several usage scenarios in mind, some
of which possibly open and generic. Correspondingly,
the unit testing of classes cannot make too strict
assumptions on the actual method invocation sequences,
since these vary from application to application.
In this paper, a genetic algorithm is exploited to automatically produce test cases for the unit testing of classes in a generic usage scenario. Test cases are described by chromosomes, which include information on which objects to create, which methods to invoke and which values to use as inputs. The proposed algorithm mutates them with the aim of maximizing a given coverage measure. The implementation of the algorithm and its application to classes from the Java standard library are described.",
-
notes = "eTOC. Assertion (added by hand) based fitness. (AST
visitor) Javac pretty printer customised to print
instrumented code. java reflection. CUT:
StringTokenizer, BitSet, HashMap, LinkedList, Stack.
TreeSet.
Also available as SEN article doi:10.1145/1013886.1007528
Also known as \cite{1007528}",
