All Stories

  1. A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning
  2. On the Model Update Strategies for Supervised Learning in AIOps Solutions
  3. SimClone: Detecting Tabular Data Clones using Value Similarity
  4. Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware
  5. Disambiguating Performance Anomalies from Workload Changes in Cloud-Native Applications
  6. An Empirical Comparison on the Results of Different Clone Detection Setups for C-based Projects
  7. A Survey of Software Log Instrumentation
  8. Towards training reproducible deep learning models
  9. Towards build verifiability for Java-based systems
  10. Evaluating the Scalability and Elasticity of Function as a Service Platform
  11. Towards a Consistent Interpretation of AIOps Models
  12. An Empirical Study of the Impact of Data Splitting Decisions on the Performance of AIOps Solutions
  13. Developing Cost-Effective Blockchain-Powered Applications
  14. Studying the use of Java logging utilities in the wild
  15. Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform
  16. An automated approach to estimating code coverage measures via execution logs
  17. LT 2015
  18. Detecting performance anti-patterns for applications developed using object-relational mapping