All Stories

  1. Sustainability of Machine Learning-Enabled Systems: The Machine Learning Practitioner’s Perspective
  2. Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering
  3. Uncovering Community Smells in Machine Learning-Enabled Systems: Causes, Effects, and Mitigation Strategies
  4. Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature Review
  5. FRINGE: context-aware FaiRness engineerING in complex software systEms
  6. Early and Realistic Exploitability Prediction of Just-Disclosed Software Vulnerabilities: How Reliable Can It Be?
  7. Using Genetic Algorithms to Improve Security Testing for IoT Devices.
  8. Security Risk Assessment on Cloud: A Systematic Mapping Study
  9. SERGE – Serious Game for the Education of Risk Management in Software Project Management
  10. Cultural Differences in Software Development
  11. Impact of culture on community smells in software development teams
  12. Toward static test flakiness prediction: a feasibility study
  13. Testing of Mobile Applications in the Wild
  14. Refactoring community smells in the wild
  15. Comparing the effectiveness of three parallelisation approaches for genetic algorithms
  16. Do developers update third-party libraries in mobile apps?
  17. A parallel genetic algorithms framework based on Hadoop MapReduce
  18. Exploiting prior-phase effort data to estimate the effort for the subsequent phases
  19. Web effort estimation