All Stories

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