Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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CSTSDE166E8
Muhammad Shahid Khan
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Neural Networks and Rules-based Systems used to Find Rational and
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In-Process testing metrics has been used from some years and its usage is frequently increasing. There are different metrics for software testing i.e. to measure testing progress, Mean time between arrival of error, density of errors, fixation of errors, failure rate, test execution Productivity, cost of defects, Test efficiency and efficiency checking and so on. But all these metrics are independent and have no relation with each other. There are some attributes of testing metrics which are very much homogenous and interrelated with interdisciplinary measurement. It is quit natural to inter-relate all these metrics into a single metric which should provide overall functionality of some of existing selected metrics and also depicts some new approach of testing measurement. So the derived frame work modeled a new metric. This new metric covers the measurement of major quality attributes such as Correctness, Reliability, Efficiency, Flexibility, Inter-operability, Usability and Maintainability. The derived new metric possess higher level of reliability, early predication of testing progress, less cost of correctness in maintenance phase, effectiveness in error exploration, efficient approach of measuring testing process, Compatibility of different existing metrics, reduce the corrective maintenance effort, less cost of corrective maintenance, a new stander for measuring corrective maintenance effort, high degree of flexibility and interoperability of different Tools.
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