Now showing items 1-2 of 2

    • Detecting Feature-Interaction Symptoms in Automotive Software Using Lightweight Analysis 

      Muscedere, Bryan J.; Hackman, Robert; Anbarnam, Davood; Atlee, Joanne M.; Davis, Ian J.; Godfrey, Michael W. (IEEE, 2019-02)
      Modern automotive software systems are large, com- plex, and feature rich; they can contain over 100 million lines of code, comprising hundreds of features distributed across multiple electronic control units (ECUs), all ...
    • On the Effectiveness of Incremental Fact Extraction and Analysis 

      Anbarnam, Davood (University of Waterloo, 2020-07-30)
      Today's software projects can be huge. They often consist of millions of lines of code, have multiple teams working on them and are constantly evolving. It is no surprise then that developers sometimes seek the help of ...

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