Search Constraints

Start Over
Filtering by: Creator Ek, M. Remove constraint Creator: Ek, M. Committee Member Burnett, Margaret Remove constraint Committee Member: Burnett, Margaret

Search Results

  • Update programming -- a safe approach to software maintenance

    Creator:
    Ren, Deling
    Abstract:
    Software maintenance accounts for a large portion of the software development cost, particularly the process of updating programs either to adapt for requirement change or to enhance design or efficiency. Currently, program updates are generally performed manually by programmers using text editors. This is an unreliable method because syntax and...
    Resource Type:
    Dissertation
    Full Text:
    ;()Ek²<M;*;?'5N()14*0icZ3<$�&)$A0k5<Ï cZE

  • End-user software engineering in the spreadsheet paradigm

    Creator:
    Abraham, Robin
    Abstract:
    Spreadsheets are among the most widely used end-user programming systems. Unfortunately, there is a high incidence of errors in end-user spreadsheets, and some of these errors have high impact. In this dissertation, we describe techniques we have developed to help end users develop safer spreadsheets. As part of our research,...
    Resource Type:
    Dissertation

  • Automatic program generation for scientific computing

    Creator:
    Fu, Zhe
    Abstract:
    The code reuse problem is a common software engineering problem in scientific computing. As a prevailing programming language in many scientific fields, Fortran does not provide support to address this problem. One particular reason is that Fortran lacks the support for generic programming. By applying program-generation techniques, we developed two...
    Resource Type:
    Dissertation
    Full Text:
    ..n by j=1..m Variables can be associated with �elds. A �eld of a variable is de�ned by associ

  • Model-based approximation methods for reinforcement learning

    Creator:
    Wang, Xin
    Abstract:
    The thesis focuses on model-based approximation methods for reinforcement learning with large scale applications such as combinatorial optimization problems. First, the thesis proposes two new model-based methods to stablize the value–function approximation for reinforcement learning. The first one is the BFBP algorithm, a batch-like reinforcement learning process which iterates between...
    Resource Type:
    Dissertation
    Full Text:
    Lipschitz Continuity of ∇M ∞ θk J(θk) . . . . . . . . . 199 LIST OF FIGURES Figure Page 2.1 Performance

  • Test case prioritization

    Creator:
    Malishevsky, Alexey Grigorievich
    Abstract:
    Regression testing is an expensive software engineering activity intended to provide confidence that modifications to a software system have not introduced faults. Test case prioritization techniques help to reduce regression testing cost by ordering test cases in a way that better achieves testing objectives. In this thesis, we are interested...
    Resource Type:
    Dissertation
    Full Text:
    number of tests, m is the number of faults, and TF is the test number (starting from one) which first