How bad can a bug get? an empirical analysis of software failures in the OpenStack cloud computing platform-Reference-Cited by-同舟云学术

How bad can a bug get? an empirical analysis of software failures in the OpenStack cloud computing platform

Published:2019-08-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
language:
Short-container-title:

Author:

Cotroneo Domenico¹,De Simone Luigi¹,Liguori Pietro¹,Natella Roberto¹,Bidokhti Nematollah²

Affiliation:

1. Federico II University of Naples, Italy

2. Futurewei Technologies, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3338906.3338916

Reference79 articles.

1. Is mutation an appropriate tool for testing experiments?

2. Dependability of COTS microkernel-based systems

3. Black Duck Software Inc. 2018. The OpenStack Open Source Project on Open Hub. https://www.openhub.net/p/openstack Black Duck Software Inc. 2018. The OpenStack Open Source Project on Open Hub. https://www.openhub.net/p/openstack

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PMTT: Parallel multi-scale temporal convolution network and transformer for predicting the time to aging failure of software systems;Journal of Systems and Software;2024-11

2. MicroFI: Non-Intrusive and Prioritized Request-Level Fault Injection for Microservice Applications;IEEE Transactions on Dependable and Secure Computing;2024-09

3. TTAFPred: Prediction of time to aging failure for software systems based on a two-stream multi-scale features fusion network;Software Quality Journal;2024-07-22

4. State Reconciliation Defects in Infrastructure as Code;Proceedings of the ACM on Software Engineering;2024-07-12

5. ChangeRCA: Finding Root Causes from Software Changes in Large Online Systems;Proceedings of the ACM on Software Engineering;2024-07-12