Search Results - NOTKIN, D

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  1. 1
    Identifying and Summarizing Systematic Code Changes via Rule Inference

    Identifying and Summarizing Systematic Code Changes via Rule Inference by Miryung Kim, Notkin, D., Grossman, D., Wilson, Gary

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  2. 2
    Dynamically discovering likely program invariants to support program evolution

    Dynamically discovering likely program invariants to support program evolution by Ernst, M.D., Cockrell, J., Griswold, W.G., Notkin, D.

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  3. 3
    Software reflexion models: bridging the gap between design and implementation

    Software reflexion models: bridging the gap between design and implementation by Murphy, G.C., Notkin, D., Sullivan, K.J.

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  4. 4
    An empirical analysis of c preprocessor use

    An empirical analysis of c preprocessor use by Ernst, M.D., Badros, G.J., Notkin, D.

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  5. 5
    Checking inside the black box: regression testing by comparing value spectra

    Checking inside the black box: regression testing by comparing value spectra by Xie, T., Notkin, D.

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  6. 6
    Rostra: a framework for detecting redundant object-oriented unit tests

    Rostra: a framework for detecting redundant object-oriented unit tests by Tao Xie, Notkin, D., Marinov, D.

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  7. 7
    Model checking large software specifications

    Model checking large software specifications by Chan, W., Anderson, R.J., Beame, P., Burns, S., Modugno, F., Notkin, D., Reese, J.D.

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  8. 8
    Discovering and representing systematic code changes

    Discovering and representing systematic code changes by Kim, Miryung, Notkin, David

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  9. 9
    ArchJava: connecting software architecture to implementation

    ArchJava: connecting software architecture to implementation by Aldrich, Jonathan, Chambers, Craig, Notkin, David

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  10. 10
    Expectations, outcomes, and challenges of modern code review

    Expectations, outcomes, and challenges of modern code review by Bacchelli, Alberto, Bird, Christian

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  11. 11
    Why don't software developers use static analysis tools to find bugs?

    Why don't software developers use static analysis tools to find bugs? by Johnson, Brittany, Song, Yoonki, Murphy-Hill, Emerson, Bowdidge, Robert

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  12. 12
    Reducing Feedback Delay of Software Development Tools via Continuous Analysis

    Reducing Feedback Delay of Software Development Tools via Continuous Analysis by Muslu, Kivanc, Brun, Yuriy, Ernst, Michael D., Notkin, David

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  13. 13
    Transfer defect learning

    Transfer defect learning by Nam, Jaechang, Pan, Sinno Jialin, Kim, Sunghun

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  14. 14
    Automatic patch generation learned from human-written patches

    Automatic patch generation learned from human-written patches by Kim, Dongsun, Nam, Jaechang, Song, Jaewoo, Kim, Sunghun

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  15. 15
    SemFix: program repair via semantic analysis

    SemFix: program repair via semantic analysis by Nguyen, Hoang Duong Thien, Qi, Dawei, Roychoudhury, Abhik, Chandra, Satish

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  16. 16
    Reengineering with reflexion models: a case study

    Reengineering with reflexion models: a case study by Murphy, G.C., Notkin, D.

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  17. 17
    It's not a bug, it's a feature: how misclassification impacts bug prediction

    It's not a bug, it's a feature: how misclassification impacts bug prediction by Herzig, Kim, Just, Sascha, Zeller, Andreas

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  18. 18
    How, and why, process metrics are better

    How, and why, process metrics are better by Rahman, Foyzur, Devanbu, Premkumar

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  19. 19
    Using twinning to adapt programs to alternative APIs

    Using twinning to adapt programs to alternative APIs by Nita, Marius, Notkin, David

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  20. 20
    Analysis of user comments: an approach for software requirements evolution

    Analysis of user comments: an approach for software requirements evolution by Galvis Carreño, Laura V., Winbladh, Kristina

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