@inproceedings{thummalapenta2012efficiently,
author = {Thummalapenta, Suresh},
title = {Efficiently scripting change-resilient tests},
booktitle = {FSE '12: Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering},
year = {2012},
month = {January},
abstract = {In industrial practice, test cases often start out as steps described in natural language and are intended to be executed by a human. Since tests are executed repeatedly, they go through an automation process, in which they are converted to automated test scripts (or programs) that perform the test steps mechanically. Conventional test-automation techniques can be time-consuming, require specialized skills, and can produce fragile scripts. To address these limitations, we present a tool, called ata, for automating the test-automation task. Using a novel combination of natural-language processing, backtracking exploration, and learning, ata can significantly improve tester productivity in automating manual tests. ata also produces change-resilient scripts, which automatically adapt themselves in the presence of certain common types of user-interface changes.},
publisher = {ACM},
url = {http://approjects.co.za/?big=en-us/research/publication/efficiently-scripting-change-resilient-tests/},
pages = {1–2},
isbn = {978-1-4503-1614-9},
edition = {FSE '12: Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering},
}