Characterization of Software Quality Assurance Methods: Five Methods for Verification of Learning Systems

نویسندگان

  • Frederick T. Sheldon
  • Ali Mili
چکیده

While learning systems offer great promise in reducing cost and improving quality of control applications [12, 11], they also raise thorny issues in terms of the mismatch between the quality standards that these systems must achieve [10] and the available technology. There is widespread agreement [7, 8, 9, 12, 11] that current verification technology does not apply to online learning systems, whose function evolves over time, and cannot be inferred from static analysis. Yet, we claim that one can still use insights from traditional verification technology to better develop verification techniques for online learning systems. In this short paper, we wish to explore this possibility by:

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تاریخ انتشار 2004