https://github.com/testingautomated-usi/tig-validity-icse23

https://github.com/testingautomated-usi/tig-validity-icse23

Last synced: about 1 month ago
JSON representation

• Host: GitHub
• URL: https://github.com/testingautomated-usi/tig-validity-icse23
• Owner: testingautomated-usi
• License: mit
• Created: 2022-12-19T22:14:44.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-10-31T11:13:42.000Z (about 1 year ago)
• Last Synced: 2023-10-31T12:25:26.674Z (about 1 year ago)
• Language: Python
• Size: 64.5 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study

This repository contains the source code and the data of the paper "When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study" by V. Riccio and P. Tonella, accepted at the 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023).

## Reference

If you use our work in your research, or it helps it, please cite us in your publications. 

Here is an example BibTeX entry:

```

@inproceedings{tig_validity_ICSE23,

	title= {When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study},

	author= {Vincenzo Riccio and Paolo Tonella},

	booktitle= {Proceedings of the 45th IEEE/ACM International Conference on Software Engineering},

	series= {ICSE '23},

	year= {2023}

}

```

## License ##

The software we developed is distributed under MIT license. See the [license](./LICENSE) file.

## Contacts

For any related question, please contact its authors: 

* Vincenzo Riccio ([[email protected]](mailto:[email protected]))

* Paolo Tonella ([[email protected]](mailto:[email protected])).