- author = "Arjan Seesing",
- title = "EvoTest Test Case Generation Using Genetic Programming and Software Analysis",
- school = "Electrical Engineering, Mathematics, and Computer Science, Delft University of Technology",
- year = "2006",
- address = "The Netherlands",
- month = "22 " # jun,
- keywords = "genetic algorithms, genetic programming, SBSE",
-
URL = "
http://swerl.tudelft.nl/bin/view/Main/ArjanSeesing",
-
URL = "
http://swerl.tudelft.nl/twiki/pub/Main/ArjanSeesing/thesis_final_submitted.pdf",
- size = "70 pages",
-
abstract = "Testing in diverse software development paradigms is
an ongoing problem in software engineering. Many
techniques have been devised over the past decades to
help software engineers create useful testing suites.
In this thesis, the focus is on test case generation
for object orientated software using genetic
programming. The automatic creation of test data is
still an open problem in object-oriented software
testing, and many new techniques are being researched.
For object orientated software, the automatic test data
generation technique is not sufficient, because besides
input data used for testing, it additionally has to
produce the right sequences of method calls, and the
right artefacts, to bring the object under test in the
required state for testing.
Genetic algorithms have already been used to tackle typical testing problems with success, but the use of genetic programming applied to automatic test case generation is relatively new and promising. This master thesis shows how genetic algorithms combined with different types of software analysis can create new unit tests with a high amount of program coverage. Together with static analysis, the genetic algorithm is able to generate tests for more real world programs in a shorter amount of time. This new approach is implemented in a prototype tool called EvoTest?. With this tool I demonstrate the coverage obtained for small programs and some larger real world programs.",
-
notes = "
supervisor: Hans-Gerhard Gross (TUDelft)
Georgia Institute of Technology, Alex Orso, Jim Clause.
SERG The Software Engineering Research Group http://swerl.tudelft.nl/bin/view/Main/SoftwareEngineeringResearchGroup",
