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ORCID14th PROMISE 2018: Oulu, Finland
- Burak Turhan
, Ayse Tosun, Shane McIntosh:
Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2018, Oulu, Finland, October 10, 2018. ACM 2018 - Mohammad Alahmadi, Jonathan Hassel, Biswas Parajuli, Sonia Haiduc, Piyush Kumar:
Accurately Predicting the Location of Code Fragments in Programming Video Tutorials Using Deep Learning. 2-11 - Rudolf Ferenc, Zoltán Tóth, Gergely Ladányi, István Siket, Tibor Gyimóthy:
A Public Unified Bug Dataset for Java. 12-21 - Fernando López de la Mora, Sarah Nadi:
An Empirical Study of Metric-based Comparisons of Software Libraries. 22-31 - Sousuke Amasaki:
Cross-Version Defect Prediction using Cross-Project Defect Prediction Approaches: Does it work? 32-41 - Jean Petric, Tracy Hall, David Bowes:
How Effectively Is Defective Code Actually Tested?: An Analysis of JUnit Tests in Seven Open Source Systems. 42-51 - Martí Manzano, Emilia Mendes, Cristina Gómez, Claudia P. Ayala, Xavier Franch:
Using Bayesian Networks to estimate Strategic Indicators in the context of Rapid Software Development. 52-55 - Tapajit Dey, Audris Mockus:
Modeling Relationship between Post-Release Faults and Usage in Mobile Software. 56-65 - Tapajit Dey, Audris Mockus:
Are Software Dependency Supply Chain Metrics Useful in Predicting Change of Popularity of NPM Packages? 66-69 - Marco Ortu, Tracy Hall, Michele Marchesi, Roberto Tonelli, David Bowes, Giuseppe Destefanis:
Mining Communication Patterns in Software Development: A GitHub Analysis. 70-79 - Francis Palma, Tamer Abdou, Ayse Bener, John Maidens, Stella Liu:
An Improvement to Test Case Failure Prediction in the Context of Test Case Prioritization. 80-89 - Giuseppe Destefanis, S. Qaderi, David Bowes, Jean Petric, Marco Ortu:
A Longitudinal Study of Anti Micro Patterns in 113 versions of Tomcat. 90-93
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