Vista: web test repair using computer vision

Andrea Stocco, Rahulkrishna Yandrapally, Ali Mesbah

Abstract

Repairing broken web element locators represents the major main- tenance cost of web test cases. To detect possible repairs, testers typically inspect the tests’ interactions with the application under test through the GUI. Existing automated test repair techniques focus instead on the code and ignore visual aspects of the applica- tion. In this demo paper, we give an overview of Vista, a novel test repair technique that leverages computer vision and local crawling to automatically suggest and apply repairs to broken web tests. URL: https://github.com/saltlab/Vista

BibTeX

@inproceedings{Stocco-al:FSE18,
  author    = {Andrea Stocco and
               Rahulkrishna Yandrapally and
               Ali Mesbah},
  title     = {Vista: web test repair using computer vision},
  booktitle = {{ESEC/SIGSOFT} {FSE}},
  pages     = {876--879},
  publisher = {{ACM}},
  year      = {2018},
}

Vista: web test repair using computer vision

Abstract

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