A. Barbosa, A. Paiva and J.C. Campos
Test case generation from mutated task models
In Fabio Paterṇ, Kris Luyten, Frank Maurer, Prasun Dewan and Carmen Santoro, editors, ACM Symposium on Engineering Interactive Computing Systems (EICS 2011), pages 175-184. ACM. 2011. (ISBN: 978-1-4503-0778-9)

Abstract

This paper describes an approach to the model-based testing of graphical user interfaces from task models. Starting from a task model of the system under test, oracles are generated whose behaviour is compared with the execution of the running system. The use of task models means that the effort of producing the test oracles is reduced. It does also mean, however, that the oracles are confined to the set of expected user behaviours for the system. The paper focuses on solving this problem. It shows how task mutations can be generated automatically, enabling a broader range of user behaviours to be considered. A tool, based on a classification of user errors, generates these mutations. A number of examples illustrate the approach.

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@InProceedings{BarbosaPC:2011,
 author = {A. Barbosa and A. Paiva and J.C. Campos},
 title = {Test case generation from mutated task models},
 booktitle = {ACM Symposium on Engineering Interactive Computing Systems (EICS 2011)},
 booktitle = {Proceedings of the 3rd ACM SIGCHI Symposium on Engineering Interactive Computing Systems},
 pages = {175-184},
 year = {2011},
 editor = {Fabio Paterṇ and Kris Luyten and Frank Maurer and Prasun Dewan and Carmen Santoro},
 publisher = {ACM}, 
 note = {ISBN: 978-1-4503-0778-9},
 abstract = {This paper describes an approach to the model-based testing of graphical user interfaces from task models. Starting from a task model of the system under test, oracles are generated whose behaviour is compared with the execution of the running system. The use of task models means that the effort of producing the test oracles is reduced. It does also mean, however, that the oracles are confined to the set of expected user behaviours for the system. The paper focuses on solving this problem. It shows how task mutations can be generated automatically, enabling a broader range of user behaviours to be considered. A tool, based on a classification of user errors, generates these mutations. A number of examples illustrate the approach.},
  doi = {10.1145/1996461.1996516}
}

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