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Accepted Papers


Research Track

  1. Weilun Xiong, Shihao Chen, Yuning Zhang, Mingyuan Xia and Zhengwei Qi
    Reproducible Interference-aware Mobile Testing
  2. Christoph Stanik, Lloyd Montgomery, Daniel Martens, Davide Fucci and Walid Maalej:
    A Simple NLP-based Approach to Support Onboarding and Retention in Open-Source Communities
  3. Kui Liu, Dongsun Kim, Li Li, Anil Koyuncu, Tegawendé Bissyande and Yves Le Traon:
    A Closer Look at Real-World Patches
  4. Alexander Schlie, Sandro Schulze and Ina Schaefer:
    Comparing Multiple MATLAB/Simulink Models Using Static Connectivity Matrix Analysis
  5. Dileep R. K. Murthy and Michael Pradel:
    Change-aware Dynamic Program Analysis for JavaScript
  6. Alexandre Decan, Tom Mens and Eleni Constantinou:
    On the evolution of technical lag in the npm package dependency network
  7. Yikun Hu, Yuanyuan Zhang, Juanru Li, Hui Wang, Bodong Li and Dawu Gu:
    BinMatch: A Semantics-based Hybrid Approach on Binary Code Clone Analysis
  8. Chao Chen, Wenrui Diao, Yingpei Zeng, Shanqing Guo and Chengyu Hu:
    DRLgencert: Deep Learning-based Automated Testing of Certificate Verification in SSL/TLS Implementations
  9. Shengtao Yue, Jun Ma, Qingwei Sun, Xianping Tao, Chang Xu and Jian Lu:
    RegionDroid: A Tool for Detecting Android Application Repackaging Based on Runtime UI Region Features
  10. Davide Spadini, Fabio Palomba, Andy Zaidman, Magiel Bruntink and Alberto Bacchelli:
    On The Relation of Test Smells to Software Code Quality
  11. Jason Lecerf, John Brant, Thierry Goubier and Stéphane Ducasse:
    A Reflexive and Automated Approach to Syntactic Pattern Matching in Code Transformations
  12. Ziming Zhu, Li Jiao and Xiong Xu:
    Combining Search-based Testing and Dynamic Symbolic Execution by Evolvability Metric
  13. Fabio Palomba, Andy Zaidman and Andrea De Lucia:
    Automatic Test Smell Detection using Information Retrieval Techniques
  14. Hongwei Li, Sirui Li, Jiamou Sun, Xuejiao Zhao, Zhenchang Xing, Xin Peng and Mingwei Liu:
    Improving API Caveats Accessibility by Mining API Caveats Knowledge Graph
  15. Wasim Said, Jochen Quante and Rainer Koschke:
    Reflexion Models for State Machine Extraction and Verification
  16. Anh Nguyen, Peter Rigby, Thanh Nguyen, Dharani Palani, Mark Karanfil and Tien Nguyen:
    Statistical Translation of English Texts to API Code Templates
  17. Ye Wang, Na Meng and Hao Zhong:
    An Empirical Study of Multi-Entity Changes in Real Bug Fixes
  18. Ivano Malavolta, Roberto Verdecchia, Bojan Filipovic, Magiel Bruntink and Patricia Lago:
    On the Evolution of Maintainability issues of Android Applications
  19. Emad Aghajani, Csaba Nagy, Gabriele Bavota and Michele Lanza:
    A Large-scale Empirical Study on Linguistic Antipatterns Affecting APIs
  20. Gerald Schermann and Philipp Leitner:
    Search-Based Scheduling of Experiments in Continuous Deployment
  21. Eric Horton and Chris Parnin:
    Gistable: Evaluating the Executability of Code Snippets on the Web
  22. Serena Elisa Ponta, Henrik Plate and Antonino Sabetta:
    Beyond Metadata: Code-centric and Usage-based Analysis of Known Vulnerabilities in Open-source Software
  23. Yue Cai Zhu, Emad Shihab and Peter Rigby:
    Test Re-prioritization in Continuous Testing Environments
  24. Stefan Fischer, Lukas Linsbauer, Roberto Erick Lopez-Herrejon and Alexander Egyed:
    Predicting Higher Order Structural Feature Interactions in Variable Systems
  25. Ameer Armaly, Paige Rodeghero and Collin McMillan:
    AudioHighlight: Code Skimming for Blind Programmers
  26. Qi Luo, Kevin Moran, Denys Poshyvanyk and Massimiliano Di Penta:
    Assessing Test Case Prioritization on Mutants and Real Faults
  27. Hamid Bagheri, Jianghao Wang, Jarod Aerts and Sam Malek:
    Efficient, Evolutionary Security Analysis of Interacting Android Apps
  28. Alexander Leclair, Zachary Eberhart and Collin McMillan:
    Adapting Neural Text Classification for Improved Software Categorization
  29. Xiaoyu Liu, Liguo Huang, Chuanyi Li and Vincent Ng:
    Linking Source Code to Untangled Change Intents
  30. Chris Mills, Jevgenija Pantiuchina, Esteban Parra, Gabriele Bavota and Sonia Haiduc:
    Are Bug Reports Enough for Text Retrieval-based Bug Localization?
  31. Chris Mills, Javier Escobar-Avila and Sonia Haiduc:
    Automatic Traceability Maintenance via Machine Learning Classification
  32. Haoren Wang and Huzefa Kagdi:
    A Conceptual Replication Study on Bugs that Get Fixed in Open Source Software
  33. Mohammad Masudur Rahman and Chanchal K. Roy:
    Effective Reformulation of Query for Code Search using Crowdsourced Knowledge and Extra-Large Data Analytics
  34. Ruru Yue, Zhe Gao, Na Meng, Yingfei Xiong, Xiaoyin Wang and David Morgenthaler:
    Automatic Clone Recommendation for Refactoring Based on the Present and the Past
  35. Xin Zhang, Yang Chen, Yongfeng Gu, Weiqin Zou, Xiaoyuan Xie, Xiangyang Jia and Jifeng Xuan:
    How do Multiple Pull Requests Change the Same Code: A Study of Competing Pull Requests in GitHub
  36. Matthieu Jimenez, Maxime Cordy, Yves Le Traon and Mike Papadakis:
    On the impact of tokenizer and parameters on N-gram based Code Analysis
  37. Jirayus Jiarpakdee, Chakkrit Tantithamthavorn and Christoph Treude:
    AutoSpearman: Automatically Mitigating Correlated Software Metrics for Interpreting Defect Models