Trustworthiness dynamic evaluation method facing software evolution

Trustworthiness dynamic evaluation method facing software evolution

  • CN 101,963,940 A
  • Filed: 10/26/2010
  • Published: 02/02/2011
  • Est. Priority Date: 10/26/2010
  • Status: Active Application
First Claim
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1. the credible dynamic assessment method that develops of software-oriented, it is characterized in that:

  • the overall goal of following the software credibility assessment, in conjunction with domain-specialist knowledge, analyze the correlation technique document of software to be evaluated, obtain complete credible demand collection TR, and extract credible indexes among the credible demand collection TR to obtain a complete deterministic credible indexes collection X e, according to credible indexes collection X eIn the hierarchy characteristic of each credible indexes, take the mode of subjective judgement to find the solution weight X between credible indexes wAfter, make up the credible evaluation index TEIS;

    X of system under the original state e* X w

    TEIS;

    Observe the decision-making independence condition, formulate the credible decision rule collection that meets user'"'"'s request;

    By the software EVOLUTION ANALYSIS, the monitoring of software entity state develops if software takes place, and then obtains the evolution pumping signal in computing machine, and obtains the state transition function CS that the excitation back that develops generates in computing machine I →

    j


    );

    When computing machine sent the evolution pumping signal, based on reconstruct framework schemes, utilization self-adapting reconstruction algorithm SAR carried out the autonomous reconstruct of credible evaluation index system;

    TEIS →

    TEIS in computing machine *Gather original assessment data by software test or software analysis, software modeling forecast analysis or software qualitative evaluation, and original assessment data is carried out the consistance pre-service, obtain the initial trusted evidence collection X under the unified identification framework mFollow complex hierarchy characteristic among credible indexes, in computing machine, make up software credibility evolution reasoning module, credible evidence collection X mBringing credible evolution reasoning module into carries out credibility and finds the solution the credible comprehensive evaluation V that obtains quantizing;

    Under the guidance of credible decision rule collection, the credible comprehensive evaluation V according to after quantizing formulates credible decision making package by using credible decision rule collection, and further formulates the credible decision making package towards software to be evaluated.

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