Abstract is missing.
- Accurately Predicting the Location of Code Fragments in Programming Video Tutorials Using Deep LearningMohammad Alahmadi, Jonathan Hassel, Biswas Parajuli, Sonia Haiduc, Piyush Kumar. 2-11 [doi]
- A Public Unified Bug Dataset for JavaRudolf Ferenc, Zoltán Tóth, Gergely Ladányi, István Siket, Tibor Gyimóthy. 12-21 [doi]
- An Empirical Study of Metric-based Comparisons of Software LibrariesFernando López de la Mora, Sarah Nadi. 22-31 [doi]
- Cross-Version Defect Prediction using Cross-Project Defect Prediction Approaches: Does it work?Sousuke Amasaki. 32-41 [doi]
- How Effectively Is Defective Code Actually Tested?: An Analysis of JUnit Tests in Seven Open Source SystemsJean Petric, Tracy Hall, David Bowes. 42-51 [doi]
- Using Bayesian Networks to estimate Strategic Indicators in the context of Rapid Software DevelopmentMartí Manzano, Emilia Mendes, Cristina Gómez, Claudia P. Ayala, Xavier Franch. 52-55 [doi]
- Modeling Relationship between Post-Release Faults and Usage in Mobile SoftwareTapajit Dey, Audris Mockus. 56-65 [doi]
- Are Software Dependency Supply Chain Metrics Useful in Predicting Change of Popularity of NPM Packages?Tapajit Dey, Audris Mockus. 66-69 [doi]
- Mining Communication Patterns in Software Development: A GitHub AnalysisMarco Ortu, Tracy Hall, Michele Marchesi, Roberto Tonelli, David Bowes, Giuseppe Destefanis. 70-79 [doi]
- An Improvement to Test Case Failure Prediction in the Context of Test Case PrioritizationFrancis Palma, Tamer Abdou, Ayse Bener, John Maidens, Stella Liu. 80-89 [doi]
- A Longitudinal Study of Anti Micro Patterns in 113 versions of TomcatGiuseppe Destefanis, S. Qaderi, David Bowes, J. Petric, Marco Ortu. 90-93 [doi]