Digitale Bibliotheek
Sluiten Bladeren door artikelen uit een tijdschrift
<< vorige    volgende >>
     Tijdschrift beschrijving
       Alle jaargangen van het bijbehorende tijdschrift
         Alle afleveringen van het bijbehorende jaargang
           Alle artikelen van de bijbehorende aflevering
                                       Details van artikel 3 van 11 gevonden artikelen
  Exploration for Software Reliability using Neural Network-Based Classification method
Titel: Exploration for Software Reliability using Neural Network-Based Classification method
Auteur: Chitra S.
Madhusudhanan B.
Rajaram M.
Verschenen in: International journal of machine intelligence
Paginering: Jaargang 1 (2009) nr. 2 pagina's 10-13
Jaar: 2009
Inhoud: Software reliability is an important aspect of software quality. According to ANSI, it is defined as "the probability offailure-free operation of a computer program in a specified environment for a specified time". One of reliability's distinguishingcharacteristics is that it is objective, measurable, and can be estimated, whereas much of software quality is subjective criteria.This distinction is especially important in the discipline of SQA. These measured criteria are typically called software metrics.Although software reliability is defined as a probabilistic function, and comes with the notion of time, we must note that, softwarereliability is different from traditional hardware reliability, and not a direct function of time. Electronic and mechanical parts maybecome "old" and wear out with time and usage, but software will not rust or wear-out during its life cycle. Software will notchange over time unless intentionally changed or upgraded. Neural Network-based Classification Method (NNCM) was used toclassify the data using recordset cyclomatic density and design density. The records were preprocessed using normaldistribution. The overall error in the classification using NNCM after normal distribution was found to be 0.38%. The reliability ofclassification with goodness of fit measure results in and forms the subsequent improvement of error classification among thedataset.
Uitgever: Bioinfo Publications (provided by DOAJ)
Bronbestand: Elektronische Wetenschappelijke Tijdschriften

                             Details van artikel 3 van 11 gevonden artikelen
<< vorige    volgende >>
 Koninklijke Bibliotheek - Nationale Bibliotheek van Nederland