SRGM with Imperfect Debugging using Capability Analysis of Log-Logistic Model

Authors

  • Dr.O. Naga Raju Dept. of C.S.E, Acharya Nagarjuna University
  • D. Rakesh Dept. of C.S.E
  • K.V. SubbaReddy Dept. of C.S.E, Acharya Nagarjuna University

DOI:

https://doi.org/10.24297/ijct.v2i1.2613

Keywords:

Software reliability, Imperfect-Debugging, time complexity, Mean Value Function

Abstract

Analyze the predict capability of some SRGMs to understand the different parameters to facilitate the estimate process. The predict validity analysis will be on two key factors, one pertaining to the degree of fitment on available failure data and the other for its prediction capability. The validity analysis will be to arrive at trade off in choosing a simple model as compared to complex model by determining their performances across multiple data sets. Data for the predict validity analysis has been taken from different time periods to understand the impact of these models across various technologies and process during the time frame.

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Author Biographies

Dr.O. Naga Raju, Dept. of C.S.E, Acharya Nagarjuna University

Asst. Professor

D. Rakesh, Dept. of C.S.E

Acharya Nagarjuna University

K.V. SubbaReddy, Dept. of C.S.E, Acharya Nagarjuna University

Research Scholar

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Published

2012-04-30

How to Cite

Naga Raju, D., Rakesh, D., & SubbaReddy, K. (2012). SRGM with Imperfect Debugging using Capability Analysis of Log-Logistic Model. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 2(2), 30–33. https://doi.org/10.24297/ijct.v2i1.2613

Issue

Vol. 2 No. 2 (2012)

Section

Research Articles
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