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ORCID15th PROMISE 2019: Recife, Brazil
- Leandro L. Minku, Foutse Khomh, Jean Petric:
Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2019, Recife, Brazil, September 18, 2019. ACM 2019, ISBN 978-1-4503-7233-6 - Valentina Lenarduzzi
, Nyyti Saarimäki, Davide Taibi:
The Technical Debt Dataset. 2-11 - Idan Amit, Dror G. Feitelson:
Which Refactoring Reduces Bug Rate? 12-15 - Sravya Polisetty, Andriy V. Miranskyy, Ayse Basar:
On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners. 16-25 - Thu Tran, Vu Nguyen, Thong Truong, Chi Tran, Phu Le:
An Evaluation of Parameter Pruning Approaches for Software Estimation. 26-35 - Tapajit Dey, Yuxing Ma, Audris Mockus:
Patterns of Effort Contribution and Demand and User Classification based on Participation Patterns in NPM Ecosystem. 36-45 - Song Wang, Chetan Bansal, Nachiappan Nagappan, Adithya Abraham Philip:
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes. 46-55 - An Nguyen, Bach Le, Vu Nguyen:
Prioritizing automated user interface tests using reinforcement learning. 56-65 - Emre Sülün, Eray Tüzün, Ugur Dogrusöz:
Reviewer Recommendation using Software Artifact Traceability Graphs. 66-75 - Sousuke Amasaki, Tomoyuki Yokogawa, Hirohisa Aman:
Applying Cross Project Defect Prediction Approaches to Cross-Company Effort Estimation. 76-79 - Renan Gomes Vieira, Antônio da Silva, Lincoln S. Rocha, João Paulo Pordeus Gomes:
From Reports to Bug-Fix Commits: A 10 Years Dataset of Bug-Fixing Activity from 55 Apache's Open Source Projects. 80-89 - Hadi Jahanshahi, Dhanya Jothimani, Ayse Basar, Mucahit Cevik:
Does chronology matter in JIT defect prediction?: A Partial Replication Study. 90-99
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