Abstract
This hands-on tutorial will teach the principles of Parameterized Unit Testing [5,4] with Pex [2], an automatic test input generator for .NET which performs a systematic program analysis, similar to path bounded model-checking.
A parameterized unit test is simply a method that takes parameters, calls the code under test, and states assertions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Mackinnon, T., Freeman, S., Craig, P.: Endotesting: Unit testing with mock objects. In: XP 2000 (May 2000)
Pex development team. Pex (2007), http://research.microsoft.com/Pex
Saff, D., Artzi, S., Perkins, J.H., Ernst, M.D.: Automatic test factoring for Java. In: Proc. 20th ASE, pp. 114–123. ACM Press, New York (2005)
Saff, D., Boshernitsan, M., Ernst, M.D.: Theories in practice: Easy-to-write specifications that catch bugs. Technical Report MIT-CSAIL-TR-2008-002, MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, January 14 (2008)
Tillmann, N., Schulte, W.: Parameterized unit tests. In: Proceedings of the 10th European Software Engineering Conference held jointly with 13th ACM SIGSOFT International Symposium on Foundations of Software Engineering, pp. 253–262. ACM, New York (2005)
Wiki. Mock objects, http://www.mockobjects.com
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
de Halleux, J., Tillmann, N. (2008). Parameterized Unit Testing with Pex. In: Beckert, B., Hähnle, R. (eds) Tests and Proofs. TAP 2008. Lecture Notes in Computer Science, vol 4966. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79124-9_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-79124-9_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79123-2
Online ISBN: 978-3-540-79124-9
eBook Packages: Computer ScienceComputer Science (R0)