Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE)

ISSN: 1382-3256 (Print) 1573-7616 (Online)

In this topical collection (16 articles)

  1. No Access

    OriginalPaper

    Developers’ perception matters: machine learning to detect developer-sensitive smells

    Daniel Oliveira, Wesley K. G. Assunção, Alessandro Garcia… Article:195

  2. OriginalPaper

    A machine and deep learning analysis among SonarQube rules, product, and process metrics for fault prediction

    Francesco Lomio, Sergio Moreschini, Valentina Lenarduzzi Article:189
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  3. OriginalPaper

    Static test flakiness prediction: How Far Can We Go?

    Valeria Pontillo, Fabio Palomba, Filomena Ferrucci Article:187
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  4. OriginalPaper

    FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code

    Nemania Borovits, Indika Kumara, Dario Di Nucci… Article:178
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  5. No Access

    OriginalPaper

    The role of bug report evolution in reliable fixing estimation

    Renan G. Vieira, César Lincoln C. Mattos… Article:164

  6. No Access

    OriginalPaper

    Predicting sensitive information leakage in IoT applications using flows-aware machine learning approach

    Hajra Naeem, Manar H. Alalfi Article:137

  7. OriginalPaper

    Identifying self-admitted technical debt in issue tracking systems using machine learning

    Yikun Li, Mohamed Soliman, Paris Avgeriou Article:131
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  8. No Access

    OriginalPaper

    Defect prediction using deep learning with Network Portrait Divergence for software evolution

    Vijay Walunj, Gharib Gharibi, Rakan Alanazi, Yugyung Lee Article:118

  9. OriginalPaper

    Two is better than one: digital siblings to improve autonomous driving testing

    Matteo Biagiola, Andrea Stocco, Vincenzo Riccio… Article:72
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  10. OriginalPaper

    On the adequacy of static analysis warnings with respect to code smell prediction

    Fabiano Pecorelli, Savanna Lujan, Valentina Lenarduzzi… Article:64
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  11. No Access

    OriginalPaper

    TraceSim: An Alignment Method for Computing Stack Trace Similarity

    Irving Muller Rodrigues, Aleksandr Khvorov, Daniel Aloise… Article:53

  12. No Access

    OriginalPaper

    Improving the quality of software issue report descriptions in Turkish: An industrial case study at Softtech

    Ethem Utku Aktas, Ebru Cakmak, Mete Cihad Inan… Article:43

  13. No Access

    OriginalPaper

    Path context augmented statement and network for learning programs

    Da Xiao, Dengji Hang, Lu Ai, Shengping Li… Article:37

  14. No Access

    OriginalPaper

    Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata

    Peter Devine, Yun Sing Koh, Kelly Blincoe Article:26

  15. No Access

    OriginalPaper

    Bug characterization in machine learning-based systems

    Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon… Article:14

  16. No Access

    OriginalPaper

    Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow

    Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh… Article:10