Automatic Data Generation for Aging Related Bugs in Cloud Oriented Softwares
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5994-5_34
Reference19 articles.
1. Andrade E, Pietrantuono R, Machida F, Cotroneo D (2021) A comparative analysis of software aging in image classifiers on cloud and edge. IEEE Trans Dependable Secur Comput (2021)
2. Araujo J, Matos R, Maciel P, Matias R (2011) Software aging issues on the eucalyptus cloud computing infrastructure. In: 2011 IEEE international conference on systems, man, and cybernetics. IEEE, pp 1411–1416
3. Chouhan SS, Rathore SS (2021) Generative adversarial networks-based imbalance learning in software aging-related bug prediction. IEEE Trans Reliab 70(2):626–642
4. Cotroneo D, Natella R, Pietrantuono R (2010) Is software aging related to software metrics? In: 2010 IEEE second international workshop on software aging and rejuvenation. IEEE, pp 1–6
5. Cotroneo D, Natella R, Pietrantuono R (2013) Predicting aging-related bugs using software complexity metrics. Perform Eval 70(3):163–178
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