Generating Unit Tests with Structured System Interactions

Havrikov, Nikolas; Gambi, Alessio; Zeller, Andreas; Arcuri, Andrea; Galeotti, Juan Pablo

Reference : Generating Unit Tests with Structured System Interactions


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/31276

Title :	Generating Unit Tests with Structured System Interactions
Language :	English
Author, co-author :	Havrikov, Nikolas []
	Gambi, Alessio []
	Zeller, Andreas []
	Arcuri, Andrea [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Galeotti, Juan Pablo []
Publication date :	2017
Main document title :	IEEE/ACM International Workshop on Automation of Software Test (AST)
Peer reviewed :	Yes
Event name :	IEEE/ACM International Workshop on Automation of Software Test (AST)
Event date :	2017
Abstract :	[en] There is a large body of work in the literature about automatic unit tests generation, and many successful results have been reported so far. However, current approaches target library classes, but not full applications. A major obstacle for testing full applications is that they interact with the environment. For example, they establish connections to remote servers. Thoroughly testing such applications requires tests that completely control the interactions between the application and its environment. Recent techniques based on mocking enable the generation of tests which include environment interactions; however, generating the right type of interactions is still an open problem. In this paper, we describe a novel approach which addresses this problem by enhancing search-based testing with complex test data generation. Experiments on an artificial system show that the proposed approach can generate effective unit tests. Compared with current techniques based on mocking, we generate more robust unit tests which achieve higher coverage and are, arguably, easier to read and understand.
Permalink :	http://hdl.handle.net/10993/31276
FnR project :	FnR ; FNR3949772 > Lionel Briand > VVLAB > Validation and Verification Laboratory > 01/01/2012 > 31/07/2018 > 2010

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