An empirical study of the impact of hyperparameter tuning and model optimization on the performance properties of deep neural networks

L Liao, H Li, W Shang, L Ma - ACM Transactions on Software …, 2022 - dl.acm.org
Deep neural network (DNN) models typically have many hyperparameters that can be
configured to achieve optimal performance on a particular dataset. Practitioners usually tune …

On the effectiveness of log representation for log-based anomaly detection

X Wu, H Li, F Khomh - Empirical Software Engineering, 2023 - Springer
Logs are an essential source of information for people to understand the running status of a
software system. Due to the evolving modern software architecture and maintenance …

PrePass-Flow: A Machine Learning based technique to minimize ACL policy violation due to links failure in hybrid SDN

M Ibrar, L Wang, GM Muntean, A Akbar, N Shah… - Computer Networks, 2021 - Elsevier
The centralized architecture of Software-Defined Networking (SDN) reduces networking
complexity and improves network manageability by omitting the need for box-by-box …

Performance regression testing initiatives: A systematic map**

LBR dos Santos, ÉF de Souza, C Trubiani… - Information and …, 2024 - Elsevier
Context: Issues related to the performance of software systems are crucial, as they have the
potential to impede the effective utilization of products, compromise user satisfaction …

A case study on the stability of performance tests for serverless applications

S Eismann, DE Costa, L Liao, CP Bezemer… - Journal of Systems and …, 2022 - Elsevier
Context: While in serverless computing, application resource management and operational
concerns are generally delegated to the cloud provider, ensuring that serverless …

IoPV: On inconsistent option performance variations

J Chen, Z Ding, Y Tang, M Sayagh, H Li… - Proceedings of the 31st …, 2023 - dl.acm.org
Maintaining a good performance of a software system is a primordial task when evolving a
software system. The performance regression issues are among the dominant problems that …

Logsd: Detecting anomalies from system logs through self-supervised learning and frequency-based masking

Y **e, H Zhang, MA Babar - Proceedings of the ACM on Software …, 2024 - dl.acm.org
Log analysis is one of the main techniques that engineers use for troubleshooting large-
scale software systems. Over the years, many supervised, semi-supervised, and …

Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization

R Aghili, Q Qin, H Li, F Khomh - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Web applications, accessible via web browsers over the Internet, facilitate complex
functionalities without local software installation. In the context of web applications, a …

CoMSA: A Modeling-Driven Sampling Approach for Configuration Performance Testing

Y **a, Z Ding, W Shang - 2023 38th IEEE/ACM International …, 2023 - ieeexplore.ieee.org
Highly configurable systems enable customers to flexibly configure the systems in diverse
deployment environments. The flexibility of configurations also poses challenges for …

Performance regression detection in devops

J Chen - Proceedings of the ACM/IEEE 42nd International …, 2020 - dl.acm.org
Performance is an important aspect of software quality. The goals of performance are
typically defined by setting upper and lower bounds for response time and throughput of a …