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Establishment method of removal waiting delay considered software reliability growth model based on FSQ (Finite Server Queuing)

A technology of growth model and establishment method, which is applied in the field of establishment of software reliability growth model, and can solve the problem that the software reliability growth model does not consider the influence of troubleshooting, waiting delay, software reliability, etc.

Inactive Publication Date: 2014-04-23
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing FSQ-based software reliability growth model does not take into account the influence of the delay in troubleshooting and the imperfect elimination of faults on software reliability. The present invention provides a FSQ-based model that considers the delay in troubleshooting The Method of Establishing Software Reliability Growth Model

Method used

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  • Establishment method of removal waiting delay considered software reliability growth model based on FSQ (Finite Server Queuing)
  • Establishment method of removal waiting delay considered software reliability growth model based on FSQ (Finite Server Queuing)
  • Establishment method of removal waiting delay considered software reliability growth model based on FSQ (Finite Server Queuing)

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specific Embodiment approach 1

[0062] Specific implementation mode one: combine figure 1 Describe this embodiment, the establishment method of the FSQ-based software reliability growth model that considers the error-removing delay described in this embodiment, and the FSQ-based software reliability growth model that considers the error-removing delay includes fault detection process The mean function model of and the mean function model in the fault correction process, described method comprises the steps:

[0063] Step 1: Determine the conditions for establishing the model;

[0064] Step 2: according to the conditions described in step 1, set up a differential equation, and according to the differential equation, obtain the mean value function model in the fault detection process of the FSQ-RWD model;

[0065] Step 3: Calculate the mean function model of the FSQ-RWD model during the fault correction process according to the fault correction time, the fault troubleshooting waiting time and the mean functio...

specific Embodiment approach 2

[0067] Specific embodiment 2: This embodiment is a further limitation of the establishment method of the FSQ-based software reliability growth model that considers the delay in debugging and waiting for the delay in the specific embodiment 1. In the first step, the conditions for establishing the model are determined. for:

[0068] The software fault detection process follows a NHPP;

[0069] the failure of the software at any time is caused by a residual fault existing in said software;

[0070] The number of faults detected within the time interval (t, t+Δt] is proportional to the number of remaining faults in the software and the workload of fault detection;

[0071] Software failures are independent of each other;

[0072] The software fault correction process cannot be ignored, and the number of corrected faults lags behind the cumulative number of detected faults;

[0073] Each fault that causes software failure will eventually be corrected. The software fault detecti...

specific Embodiment approach 3

[0076] Specific embodiment three: This embodiment is a further limitation of the establishment method of the FSQ-based software reliability growth model that considers the delay in troubleshooting and waiting for the second specific embodiment. In step two, according to the conditions described in step one, a differential is established. Equation, and according to the differential equation, the method for obtaining the mean value function model in the fault detection process of the FSQ-RWD model is:

[0077] Establish a differential equation according to the conditions described in step 1:

[0078] dm d ( t ) dt = bw d ( t ) [ a - m d ( t ...

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Abstract

The invention provides an establishment method of a removal waiting delay considered software reliability growth model based on FSQ (Finite Server Queuing) and relates to the removal waiting delay considered software reliability growth model based on the FSQ. The establishment method aims at solving the problem that the impact on the software reliability of the removal waiting delay and the fault imperfect removal is not considered in the existing software reliability growth model based on the FSQ. The removal waiting delay considered software reliability growth model comprises a mean function model in the fault detection process and a mean function model in the fault correction process. The establishment method comprises step 1, determining the model establishment conditions; step 2, establishing a differential equation according to the conditions and calculating the mean function model of the FSQ-RWD (Finite Server Queuing with Removal Waiting Delay) model in the fault detection process according to the differential equation; step 3, calculating the mean function model of the FSQ-RWD model in the fault correction process according to the fault correction time, the fault removal waiting time and the obtained mean function model in the fault detection process. The establishment method of the removal waiting delay considered software reliability growth model based on the FSQ is used for resting the software reliability.

Description

technical field [0001] The invention relates to an FSQ-based software reliability growth model considering the error-removing delay, in particular to a method for establishing the FSQ-based software reliability growth model considering the error-removing delay. Background technique [0002] Software reliability evaluation is one of the main contents of software reliability engineering research. Accurately assessing and predicting the reliability of software systems, and mastering the reliability status and changing laws of software systems can not only help software testing managers predict the testing time required to achieve specified reliability goals, estimate the number of software residual faults, The maintenance cost of the software and the failure rate of the software system can provide a basis for software release and software testing resource allocation, so that the software can be released on time as planned and meet the reliability requirements of users. [0003...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/36
Inventor 崔刚付忠传张楠暴建民潘波张策朱东杰王秀峰张必英季春光
Owner HARBIN INST OF TECH
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