WoSAR 2023 Program

Session 1 (8:30 – 10:00am) - Software Aging Bugs ( chairs: L. Carnevali, R. Natella )

Keynote Talk + Q&A : 

(8:30-9:20): Predicting is better than Repairing, a tale on Software Performance degradation

Catia Trubiani

Research Paper: 

(9:20-9:40): Cross-Project Aging-Related Bug Prediction Based on Feature Transfer and Class Imbalance Learning

Wenzhi Xie, Chen Zhang, Kai Jia, Dongdong Zhao, Junwei Zhou, Jing Tian and Jianwen Xiang

(9:40-10:00): Mitigating Overfitting for Deep Learning-based Aging-related Bug Prediction via Brain-inspired Regularization in Spiking Neural Networks

Yunzhe Tian, Yike Li, Kang Chen, Endong Tong, Wenjia Niu, Jiqiang Liu, Fangyun Qin and Zheng Zheng

Session 2 (10:30 – 12:00am) - Software Aging Modeling and Testing (chair: J. Xiang )

Keynote Talk + Q&A : 

(10:30-11:20):  Leveraging non-Markovian models for the integration of model-based and data-driven approaches

Enrico Vicario

Research Paper: 

(11:20-11:40):  Software Aging Analysis in a Testing Framework

Douglas Dias da Silva, Fumio Machida and Ermeson Andrade

 (11:40-12:00): Assessment of Aging and Rejuvenation for Resiliency in Heterogeneous Network Clusters

Alberto Avritzer, Andrea Janes, Andrea Marin, André van Hoorn, Matteo Camilli, Catia Trubiani and Daniel Menasché