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Method for detecting software reliability of high-speed train network control system

A network control system and train network control technology, applied in software testing/debugging and other directions, which can solve problems such as failure rate and failure intensity

Inactive Publication Date: 2014-03-26
INST OF SOFTWARE - CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] (2) Failure rate and failure intensity
[0022] 1. Failure rate λ (failure rate)

Method used

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  • Method for detecting software reliability of high-speed train network control system
  • Method for detecting software reliability of high-speed train network control system
  • Method for detecting software reliability of high-speed train network control system

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Embodiment Construction

[0067] Principle of invention

[0068] Such as figure 1 The flow chart of the software reliability detection method of the high-speed train network control system shown includes the following steps:

[0069] Read failure data text files, import failure data into the system, and provide data for model analysis. In this method, the failure data file is stored in the hard disk in the form of txt text, and this method provides a text reading program to read the file. The content of the failure data includes the current number of the failure, the relative time of the failure, and the severity level of the failure. Among them, the first two data contents are the necessary input data defined in the software reliability engineering, and the third item is the data content defined by the present invention according to the requirements. The failure level definition method is as follows:

[0070] Type 1 failure: caused by a serious technical problem, the train must stop before reaching...

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Abstract

The invention relates to a method for detecting the reliability of a high-speed train network control system. The method includes the steps that a maximum likelihood estimation method is used for obtaining model parameters through error occurrence time data obtained in the reliability testing process and according to a Jelinski-Moranda model formula; the model parameters are substituted into the model formula to obtain results of all reliability parameters of the system, so that whether the system meets the reliability requirements or not is judged. According to the method, software reliability parameters can be evaluated quantitatively through the error occurrence time data obtained in the testing process and by the utilization of a reliability growth model derivation formula, meanwhile how much testing time is still needed or how many questions needs to be found out for enabling software to meet the reliability requirements can be estimated, and reference is provided for testing personnel or managers for testing schedule control and project schedule grasp. A detection system of the method is unrelated to a used programming language. Detection of the software system reliability is not directly related to the programming language which is selected for authoring the software.

Description

technical field [0001] The invention relates to a software reliability detection technology, in particular to a method capable of providing a quantitative reliability index for the high-speed train network control system to detect the reliability of the high-speed train network control system. Background technique [0002] Software is the fastest-growing industry in the world today, but it also brings a very difficult problem - the quality and reliability of software. The rapid expansion of software scale makes it difficult to guarantee the quality. The software crisis triggered in the 1970s led to the birth of software engineering. [0003] The high-speed train network control system is a software-intensive system, and the quality and reliability of the software are very important. With the rapid development of computer software and hardware technology, in order to meet the needs of the development of modern train technology, high-speed trains use a large number of comput...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/36
Inventor 乔颖赵琛武斌张克铭
Owner INST OF SOFTWARE - CHINESE ACAD OF SCI
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