يعرض 1 - 10 نتائج من 10 نتيجة بحث عن '"Kumar, Lov"', وقت الاستعلام: 1.10s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Software Fault Prediction Using LSSVM with Different Kernel Functions.

    المؤلفون: Kulamala, Vinod Kumar, Kumar, Lov, Mohapatra, Durga Prasad

    المصدر: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Sep2021, Vol. 46 Issue 9, p8655-8664, 10p

    مصطلحات موضوعية: KERNEL functions, COMPUTER software quality control, RADIAL basis functions, SUPPORT vector machines, COMPUTER software development, SOFTWARE measurement

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  2. 2
    دورية أكاديمية
    An Empirical Framework to Investigate the Impact of Bug Fixing on Internal Quality Attributes.

    المؤلفون: Kumar, Lov, Tummalapalli, Sahithi, Murthy, Lalita Bhanu

    المصدر: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Apr2021, Vol. 46 Issue 4, p3189-3211, 23p

    مصطلحات موضوعية: COMPUTER software quality control, SOURCE code, DESIGN software, COMPUTER software testing, COMPUTER software development

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  3. 3
    دورية أكاديمية
    Quality of service (QoS) parameters prediction for web services using hybrid neural network and ensemble methods.

    المؤلفون: Kumar, Lov, Sureka, Ashish

    المصدر: International Journal of Systems Assurance Engineering & Management; Dec2019, Vol. 10 Issue 6, p1577-1614, 38p

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  4. 4
    دورية أكاديمية
    Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics.

    المؤلفون: Kumar, Lov, Lal, Sangeeta, Murthy, Lalita Bhanu

    المصدر: International Journal of Systems Assurance Engineering & Management; Oct2019, Vol. 10 Issue 5, p1234-1264, 31p

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  5. 5
    دورية أكاديمية
    An effective fault prediction model developed using an extreme learning machine with various kernel methods.

    المؤلفون: Kumar, Lov, Tirkey, Anand, Rath, Santanu-Ku.

    المصدر: Frontiers of Information Technology & Electronic Engineering; Jul2018, Vol. 19 Issue 7, p864-888, 25p

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  6. 6
    دورية أكاديمية
    Empirical validation for effectiveness of fault prediction technique based on cost analysis framework.

    المؤلفون: Kumar, Lov, Rath, Santanu

    المصدر: International Journal of Systems Assurance Engineering & Management; Nov2017 Supplement, Vol. 8, p1055-1068, 14p

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  7. 7
    دورية أكاديمية
    Software maintainability prediction using hybrid neural network and fuzzy logic approach with parallel computing concept.

    المؤلفون: Kumar, Lov, Rath, Santanu

    المصدر: International Journal of Systems Assurance Engineering & Management; Nov2017 Supplement, Vol. 8, p1487-1502, 16p

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  8. 8
    دورية أكاديمية
    Maintainability prediction of web service using support vector machine with various kernel methods.

    المؤلفون: Kumar, Lov, Kumar, Mukesh, Rath, Santanu

    المصدر: International Journal of Systems Assurance Engineering & Management; Jun2017, Vol. 8 Issue 2, p205-222, 18p

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  9. 9
    دورية أكاديمية
    The impact of feature selection on maintainability prediction of service-oriented applications.

    المؤلفون: Kumar, Lov, Krishna, Aneesh, Rath, Santanu

    المصدر: Service Oriented Computing & Applications; Jun2017, Vol. 11 Issue 2, p137-161, 25p

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  10. 10
    كتاب
    Neuro â€˵ Genetic Approach for Predicting Maintainability Using Chidamber and Kemerer Software Metrics Suite.

    المؤلفون: Kumar, Lov, Rath, Santanu Ku.

    المصدر: Recent Advances in Information & Communication Technology 2015; 2015, p31-40, 10p

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