Showing 3 open source projects for "dc"

View related business solutions
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New to Google Cloud? Get $300 in credits to explore Compute Engine, BigQuery, Cloud Run, Gemini Enterprise Agent Platform, and more.

    Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
    Claim $300 Free
  • Stop vibe-debugging. Icon
    Stop vibe-debugging.

    Plug Claude into your app's actual errors.

    AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
    Free 30 days.
  • 1

    Advance-PCT-1.0

    A novel Code transformation technique to guide test input generator

    ...These additional statements along with original program supplied into test executor to improve test data. It ensures that each atomic conditions have been invoked at least once true and once false. It is done to achieve higher MC/DC, because according to the definition of MC/DC it is required to achieve 100% condition coverage, which was not possible due to short-circuit evaluation by the compiler, due to which MC/DC was low and inadequate. This code transformation technique resolves the problem. It has applied Quince-McCluskey simplification technique to resolve complexness of predicate and then applying the method of inserting empty nested if-else conditional statements.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2

    Java-HCT

    Java-HCT: An approach to increase MC/DC using Hybrid Concolic Testing

    In our proposed work, we combine feedback-directed test cases generation with concolic testing to form Java-Hybrid Concolic Testing (Java-HCT). Java-HCT generates test cases combine so that, it create more number of test cases. Hence, through Java-HCT we achieve high MC/DC. Combinations of approaches represent different tradeoffs of completeness and scalability. We developed Java-HCT using RANDOOP, jCUTE, and COPECA. Combination of RANDOOP and jCUTE creates more test cases. COPECA is used to measure MC/DC\% using these generated test cases. Experimental study shows that Java-HCT produce better MC/DC\% through individual testing techniques(feedback-directed random testing and concolic testing).
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    CodeCover
    CodeCover is a free glass box testing tool that measures statement, branch, loop, MC/DC, ?-operator, and sync- coverage. CodeCover supports coverage reports per each test case. Available languages: Java and COBOL.
    Downloads: 1 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
Auth0 Logo