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EvoMaster: Evolutionary Multi-context Automated System Test Generation
Arcuri, Andrea
2018In IEEE Conference on Software Testing, Validation and Verification
Peer reviewed
 

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Abstract :
[en] This paper presents EVOMASTER, an open-source tool that is able to automatically generate system level test cases using evolutionary algorithms. Currently, EVOMASTER targets RESTful web services running on JVM technology, and has been used to find several faults in existing open-source projects. We discuss some of the architectural decisions made for its implementation, and future work.
Disciplines :
Computer science
Author, co-author :
Arcuri, Andrea;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
EvoMaster: Evolutionary Multi-context Automated System Test Generation
Publication date :
2018
Event name :
IEEE Conference on Software Testing, Validation and Verification
Event place :
OSLO, Norway
Event date :
april 2018
Main work title :
IEEE Conference on Software Testing, Validation and Verification
Peer reviewed :
Peer reviewed
FnR Project :
FNR3949772 - Validation And Verification Laboratory, 2010 (01/01/2012-31/07/2018) - Lionel Briand
Available on ORBilu :
since 11 March 2018

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