Oct 9, 2023
13:30 - 13:55 Deep Learning for increased software reliability, Vinayak Tanksale, Ball State University, Muncie, IN, USA
13:55 - 14:20 Software Vulnerability Detection using Large Language Models, Moumita Das Purba, Arpita Ghosh, Benjamin Radford, Bei-Tseng Chu, University of North Carolina at Charlotte, Charlotte, NC, USA
14:20 - 14:55 Q&A
The Machine Learning for Software Reliability (MLSR) Workshop will be co-located with the 34th IEEE International Symposium on Software Reliability Engineering (ISSRE), which will take place in October 9-12, 2023 in Florence, Italy. This workshop aims to explore the intersection of machine learning and software reliability, providing participants with the knowledge and practical skills to apply machine learning techniques in order to enhance the reliability of software systems. The workshop will cover a range of topics, including failure prediction, fault detection, anomaly detection, risk assessment, and proactive maintenance. Through a combination of research paper presentations and real-world case studies, participants will gain a deep understanding of how data-driven approaches can improve software reliability and mitigate potential failures.
Topic of Interest
Failure Prediction and Proactive Maintenance
Fault Detection and Anomaly Detection
Understanding failure patterns and predicting potential failures using machine learning
Risk Assessment for Software Reliability
Quantifying reliability risks using machine learning models
Benefits and challenges of applying machine learning to software reliability
Best Practices and Challenges
MLSR invites two types of submissions
Research Papers, 8 pages including references
Short Papers, 5 pages, including references
Important dates
Paper submission deadline: July 31, 2023 AOE
Notification: August 18, 2023
Camera ready papers due: August 25, 2023
At least one author of each accepted paper must register for the ISSRE conference and present the paper at the workshop. Paper submission will be done electronically through EasyChair (https://easychair.org/conferences/?conf=issre23). Authors are required to indicate the paper category as part of the paper’s title.
Submissions must adhere to the IEEE Computer Society Format Guidelines.
Workshop chair: Dr. Vinayak Tanksale, Ball State University, USA