Open AccessDesign of Generalized Weighted Laplacian Based Quality Assessment for Software Reliability Growth Models
Author(s) -
Chandra Mouli Venkata Srinivas Akana,
C. Divakar,
Ch. Satyanarayana
Publication year - 2018
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2018.05.05
Subject(s) - computer science , software quality , reliability (semiconductor) , reliability engineering , quality (philosophy) , capability maturity model integration , software , function (biology) , data mining , process (computing) , software development process , software development , power (physics) , philosophy , physics , epistemology , quantum mechanics , engineering , programming language , evolutionary biology , biology , operating system
The reliability of a software depends on the quality. So, the software growth models require efficient quality assessment procedure. It can be estimated by various parameters. The current paper proposes a novel approach for assessment of quality based on the Generalized Weighted Laplacian (GWL) method. The proposed method evaluates various parameters for detection and removal time. The Mean Value Function (MVF) is then calculated and the quality of the software is estimated, based on the detection of failures. The proposed method is evaluated on process CMMI level 5 project data and the experimental results shows the efficiency of the proposed method.
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