CN109254919B - Embedded software diagnosis system and method - Google Patents
Embedded software diagnosis system and method Download PDFInfo
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- CN109254919B CN109254919B CN201811016674.5A CN201811016674A CN109254919B CN 109254919 B CN109254919 B CN 109254919B CN 201811016674 A CN201811016674 A CN 201811016674A CN 109254919 B CN109254919 B CN 109254919B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/362—Software debugging
- G06F11/366—Software debugging using diagnostics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
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- G06F11/3684—Test management for test design, e.g. generating new test cases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3688—Test management for test execution, e.g. scheduling of test suites
Abstract
The invention discloses an embedded software diagnosis system and a method, wherein the system comprises a network searching and connecting module, a detection task obtaining module, a case detection configuration file analyzing module, a detection case selecting module, a detection result filling module, an embedded software system failure predicting module, an embedded software failure positioning module, a diagnosis report generating module and a server. According to the invention, the detection steps and the detailed description information are recorded through the embedded software detection case, and are provided for detection personnel to carry out detection according to the embedded software detection case, so that the detection personnel can check the execution condition and the specific completion degree of the detection; the invention can also be suitable for various network conditions, and can carry out diagnosis under all working conditions. The system and the method can help the detection personnel to successfully and effectively complete the diagnosis task, thereby ensuring the safety of the embedded software.
Description
Technical Field
The invention relates to an embedded software diagnosis system and a method, in particular to a method and a system for detecting a use case capable of recording functions and performance of embedded software under the condition of existence of a network.
Background
With the continuous development of the embedded industry, people not only require a better use sense of the embedded system, but also pay great attention to the safety performance of the embedded software, so that the functions and the performance of the embedded software need to be diagnosed to ensure the safety of the embedded software.
At present, in the diagnosis of embedded software, a tester often needs to manually test the functions and the performances of the embedded software. The manual detection of the functions and the performance of the embedded software is often performed in a remote detection site or in the field with a severe environment, and at the moment, the computer of a detector is not connected with a network, namely, the embedded software is in an off-line single-machine state. In addition, when the functions and the performances of the embedded software are detected, the details and the result analysis in the diagnosis process cannot be recorded in real time by many existing embedded software diagnosis systems.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide an embedded software diagnosis system and method, which can detect the functions and the performances of embedded software and diagnose the functions and record the detection results and diagnose the functions and the performances by establishing a functional module under the condition of network connection, thereby smoothly and effectively completing the diagnosis task and ensuring the safety of the embedded software.
In order to achieve the purpose, the invention adopts the following technical scheme:
an embedded software diagnostic system comprising:
the network searching and connecting module: the system is used for automatically searching whether a network exists or not, connecting to the network under the condition that the network exists and being in communication connection with a server;
a detection task obtaining module: the system comprises a detection task acquisition module, a configuration module and a configuration file acquisition module, wherein the detection task acquisition module is used for acquiring detection tasks in an online or offline mode, each detection task comprises at least one detection item, and the detection items are presented through a use case detection configuration file;
the case detection configuration file analysis module: the system comprises a use case detection configuration file, a project tree and a database, wherein the use case detection configuration file is used for carrying out hierarchical analysis on the use case detection configuration file so as to embody the use case detection configuration file in the form of the project tree; the project tree displays the detection projects and the corresponding detection cases in a tree hierarchical structure;
a detection case selection module: the method is used for selecting detection items required to be carried out on a project tree, then selecting detection cases required to be carried out under the detection items, acquiring detection steps and expected results corresponding to the detection cases, and carrying out detection according to the detection steps;
a detection result filling module: the system is used for filling the detection result of each detection case in a check box mode; if the detection is successful, the detection result of the detection case is marked as 'Y' in a detection result filling module; if the detection fails, the detection result of the detection case is marked as 'N' in a detection result filling module;
the embedded software failure prediction module: the embedded software failure prediction method is used for providing reasons for the characteristic rules of the embedded software through the characteristic rules of the embedded software typical failure and the characteristic rules expressed by the detection result in the interior and the exterior of the embedded software before the embedded software fails, and realizing failure prediction on the impending performance failure and functional failure in the operation of the embedded software;
the embedded software fault positioning module: carrying out qualitative and quantitative analysis on multi-fault decoupling of the embedded software to obtain fault location;
a diagnostic report generation module: the embedded software failure prediction module is used for generating an embedded software function and performance diagnosis report according to the detection result of each detection case, the prediction result of the embedded software failure prediction module and the failure positioning result of the embedded software failure positioning module, and uploading the generated embedded software function and performance diagnosis report to the server in an on-line automatic or off-line mobile storage medium mode;
a server: the method is used for storing the detection tasks and the corresponding use case detection configuration files, and storing the embedded software function and performance diagnosis reports.
Further, if all detection cases under the detection project nodes on the project tree are detected completely, the detection cases are automatically hidden.
The method for diagnosing by using the embedded software diagnosis system comprises the following steps:
s1, the network searching and connecting module automatically searches whether a network exists or not, and is connected to the network under the condition that the network exists;
s2, when a network connection exists, the detection task acquisition module is connected to the server through the network and downloads the detection task from the server on line; when no network connection exists, downloading a detection task from a server in an off-line mode through a mobile storage medium, and acquiring the detection task in an off-line mode through a detection task acquisition module through the mobile storage medium; each detection task comprises at least one detection item, and each detection item is presented through a use case detection configuration file;
s3, importing the detection tasks and the corresponding use case detection configuration files acquired in the step S2 into a use case detection configuration file analysis module, and performing hierarchical analysis on the use case detection configuration files by the use case detection configuration file analysis module so as to embody the use case detection configuration files in a project tree form;
s4, selecting a detection item to be detected from the item tree, selecting a detection case to be detected under the detection item, and acquiring a detection step and an expected result of the detection case;
s5, detecting the function and performance of the embedded software according to the detection steps of the detection case to obtain a detection result;
s6, comparing the detection result obtained in the step S5 with a corresponding expected result, if the detection result is consistent with the expected result, the detection is successful, and the detection result of the detection case is marked as 'Y' in a detection result filling module; if the detection result is inconsistent with the expected result, the detection fails, and the detection result of the detection case is marked as 'N' in a detection result filling module;
s7, the embedded software failure prediction module gives reasons for the characteristic rules of the embedded software through the typical failure characteristic rules of the embedded software and the characteristic rules expressed by the detection result in the inner part and the outer part of the embedded software before failure, and realizes failure prediction of the impending performance failure and functional failure of the embedded software in operation;
s8, the embedded software fault locating module obtains fault location by qualitatively and quantitatively analyzing the multi-fault decoupling of the embedded software;
s9, the diagnosis report generating module generates the latest detection result of each detection case, the prediction result of the embedded software failure prediction module and the fault location result of the embedded software fault location module into an embedded software function and performance diagnosis report;
s10, when network connection exists, uploading the embedded software function and performance diagnosis report generated in the step S9 to a server in real time through a network searching and connecting module; when no network connection exists, the off-line stand-alone automatic storage is immediately carried out when a new embedded software function and performance diagnosis report are generated each time, and the stored embedded software function and performance diagnosis report are manually copied to a server for storage through a mobile storage medium.
The invention has the beneficial effects that:
1. the invention records the detection steps and describes detailed information through the embedded software detection case, provides detection personnel for detecting according to the embedded software function and performance detection case, and can check the execution condition of diagnosis, the specific completion degree and the diagnosis result.
2. The invention can adapt to various network conditions, and can diagnose under all working conditions.
The system and the method can help the detection personnel to successfully and effectively complete the diagnosis task, thereby ensuring the safety of the embedded software.
Drawings
FIG. 1 is a schematic diagram of a system according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method implementation of an embodiment of the invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings, and it should be noted that the following examples are provided to illustrate the detailed embodiments and specific operations based on the technical solutions of the present invention, but the scope of the present invention is not limited to the examples.
As shown in fig. 1, an embedded software diagnostic system includes:
the network searching and connecting module: the system is used for automatically searching whether a network exists or not, connecting to the network under the condition that the network exists and being in communication connection with a server;
a detection task obtaining module: the system comprises a detection task acquisition module, a configuration module and a configuration file acquisition module, wherein the detection task acquisition module is used for acquiring detection tasks in an online or offline mode, each detection task comprises at least one detection item, and the detection items are presented through a use case detection configuration file;
the case detection configuration file analysis module: the system comprises a use case detection configuration file, a project tree and a database, wherein the use case detection configuration file is used for carrying out hierarchical analysis on the use case detection configuration file so as to embody the use case detection configuration file in the form of the project tree; the project tree displays the detection projects and the corresponding detection cases in a tree hierarchical structure;
a detection case selection module: the method is used for selecting detection items required to be carried out on a project tree, then selecting detection cases required to be carried out under the detection items, acquiring detection steps and expected results corresponding to the detection cases, and carrying out detection according to the detection steps;
a detection result filling module: the system is used for filling the detection result of each detection case in a check box mode; if the detection is successful, the detection result of the detection case is marked as 'Y' in a detection result filling module; if the detection fails, the detection result of the detection case is marked as 'N' in a detection result filling module;
the embedded software failure prediction module: the embedded software failure prediction method is used for providing reasons for the characteristic rules of the embedded software through the characteristic rules of the embedded software typical failure and the characteristic rules expressed by the detection result in the interior and the exterior of the embedded software before the embedded software fails, and realizing failure prediction on the impending performance failure and functional failure in the operation of the embedded software;
the embedded software fault positioning module: carrying out qualitative and quantitative analysis on multi-fault decoupling of the embedded software to obtain fault location;
a diagnostic report generation module: the embedded software failure prediction module is used for generating an embedded software function and performance diagnosis report according to the detection result of each detection case, the prediction result of the embedded software failure prediction module and the failure positioning result of the embedded software failure positioning module, and uploading the generated embedded software function and performance diagnosis report to the server in an on-line automatic or off-line mobile storage medium mode;
a server: the method is used for storing the detection tasks and the corresponding use case detection configuration files, and storing the embedded software function and performance diagnosis reports.
As shown in fig. 2, S1, the network searching and connecting module automatically searches whether there is a network, and if so, connects to the network;
s2, when a network connection exists, the detection task acquisition module is connected to the server through the network and downloads the detection task from the server on line; when no network connection exists, downloading a detection task from a server in an off-line mode through a mobile storage medium, and acquiring the detection task in an off-line mode through a detection task acquisition module through the mobile storage medium; each detection task comprises at least one detection item, and each detection item is presented through a use case detection configuration file;
s3, importing the detection tasks and the corresponding use case detection configuration files acquired in the step S2 into a use case detection configuration file analysis module, and performing hierarchical analysis on the use case detection configuration files by the use case detection configuration file analysis module so as to embody the use case detection configuration files in a project tree form;
s4, selecting a detection item to be detected from the item tree, selecting a detection case to be detected under the detection item, and acquiring a detection step and an expected result of the detection case;
s5, detecting the function and performance of the embedded software according to the detection steps of the detection case to obtain a detection result;
s6, comparing the detection result obtained in the step S5 with a corresponding expected result, if the detection result is consistent with the expected result, the detection is successful, and the detection result of the detection case is marked as 'Y' in a detection result filling module; if the detection result is inconsistent with the expected result, the detection fails, and the detection result of the detection case is marked as 'N' in a detection result filling module;
s7, the embedded software failure prediction module gives reasons for the characteristic rules of the embedded software through the typical failure characteristic rules of the embedded software and the characteristic rules expressed by the detection result in the inner part and the outer part of the embedded software before failure, and realizes failure prediction of the impending performance failure and functional failure of the embedded software in operation;
s8, the embedded software fault locating module obtains fault location by qualitatively and quantitatively analyzing the multi-fault decoupling of the embedded software;
s9, the diagnosis report generating module generates the latest detection result of each detection case, the prediction result of the embedded software failure prediction module and the fault location result of the embedded software fault location module into an embedded software function and performance diagnosis report;
s10, when network connection exists, uploading the embedded software function and performance diagnosis report generated in the step S9 to a server in real time through a network searching and connecting module; when no network connection exists, the off-line stand-alone automatic storage is immediately carried out when a new embedded software function and performance diagnosis report are generated each time, and the stored embedded software function and performance diagnosis report are manually copied to a server for storage through a mobile storage medium.
Various corresponding changes and modifications can be made by those skilled in the art based on the above technical solutions and concepts, and all such changes and modifications should be included in the protection scope of the present invention.
Claims (2)
1. A method for performing diagnostics using an embedded software diagnostic system, the embedded software diagnostic system comprising:
the network searching and connecting module: the system is used for automatically searching whether a network exists or not, connecting to the network under the condition that the network exists and being in communication connection with a server;
a detection task obtaining module: the system comprises a detection task acquisition module, a configuration module and a configuration file acquisition module, wherein the detection task acquisition module is used for acquiring detection tasks in an online or offline mode, each detection task comprises at least one detection item, and the detection items are presented through a use case detection configuration file;
the case detection configuration file analysis module: the system comprises a use case detection configuration file, a project tree and a database, wherein the use case detection configuration file is used for carrying out hierarchical analysis on the use case detection configuration file so as to embody the use case detection configuration file in the form of the project tree; the project tree displays the detection projects and the corresponding detection cases in a tree hierarchical structure;
a detection case selection module: the method is used for selecting detection items required to be carried out on a project tree, then selecting detection cases required to be carried out under the detection items, acquiring detection steps and expected results corresponding to the detection cases, and carrying out detection according to the detection steps;
a detection result filling module: the system is used for filling the detection result of each detection case in a check box mode; if the detection is successful, the detection result of the detection case is marked as 'Y' in a detection result filling module; if the detection fails, the detection result of the detection case is marked as 'N' in a detection result filling module;
the embedded software failure prediction module: the embedded software failure prediction method is used for providing reasons for the characteristic rules of the embedded software through the characteristic rules of the embedded software typical failure and the characteristic rules expressed by the detection result in the interior and the exterior of the embedded software before the embedded software fails, and realizing failure prediction on the impending performance failure and functional failure in the operation of the embedded software;
the embedded software fault positioning module: carrying out qualitative and quantitative analysis on multi-fault decoupling of the embedded software to obtain fault location;
a diagnostic report generation module: the embedded software failure prediction module is used for generating an embedded software function and performance diagnosis report according to the detection result of each detection case, the prediction result of the embedded software failure prediction module and the failure positioning result of the embedded software failure positioning module, and uploading the generated embedded software function and performance diagnosis report to the server in an on-line automatic or off-line mobile storage medium mode;
a server: the system is used for storing detection tasks and corresponding use case detection configuration files, and storing embedded software function and performance diagnosis reports;
the method comprises the following steps:
s1, the network searching and connecting module automatically searches whether a network exists or not, and is connected to the network under the condition that the network exists;
s2, when a network connection exists, the detection task acquisition module is connected to the server through the network and downloads the detection task from the server on line; when no network connection exists, downloading a detection task from a server in an off-line mode through a mobile storage medium, and acquiring the detection task in an off-line mode through a detection task acquisition module through the mobile storage medium; each detection task comprises at least one detection item, and each detection item is presented through a use case detection configuration file;
s3, importing the detection tasks and the corresponding use case detection configuration files acquired in the step S2 into a use case detection configuration file analysis module, and performing hierarchical analysis on the use case detection configuration files by the use case detection configuration file analysis module so as to embody the use case detection configuration files in a project tree form;
s4, selecting a detection item to be detected from the item tree, selecting a detection case to be detected under the detection item, and acquiring a detection step and an expected result of the detection case;
s5, detecting the function and performance of the embedded software according to the detection steps of the detection case to obtain a detection result;
s6, comparing the detection result obtained in the step S5 with a corresponding expected result, if the detection result is consistent with the expected result, the detection is successful, and the detection result of the detection case is marked as 'Y' in a detection result filling module; if the detection result is inconsistent with the expected result, the detection fails, and the detection result of the detection case is marked as 'N' in a detection result filling module;
s7, the embedded software failure prediction module gives reasons for the characteristic rules of the embedded software through the typical failure characteristic rules of the embedded software and the characteristic rules expressed by the detection result in the inner part and the outer part of the embedded software before failure, and realizes failure prediction of the impending performance failure and functional failure of the embedded software in operation;
s8, the embedded software fault locating module obtains fault location by qualitatively and quantitatively analyzing the multi-fault decoupling of the embedded software;
s9, the diagnosis report generating module generates the latest detection result of each detection case, the prediction result of the embedded software failure prediction module and the fault location result of the embedded software fault location module into an embedded software function and performance diagnosis report;
s10, when network connection exists, uploading the embedded software function and performance diagnosis report generated in the step S9 to a server in real time through a network searching and connecting module; when no network connection exists, the off-line stand-alone automatic storage is immediately carried out when a new embedded software function and performance diagnosis report are generated each time, and the stored embedded software function and performance diagnosis report are manually copied to a server for storage through a mobile storage medium.
2. The method of claim 1, wherein the project tree is automatically hidden if all detection cases under a node of a detection project are detected.
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| CN103149901A (en) * | 2013-02-04 | 2013-06-12 | 南京理工大学 | Embedded intelligent monitoring and remote maintaining system of manufacturing equipment |
| CN103235756A (en) * | 2013-04-22 | 2013-08-07 | 北京航空航天大学 | Simulation testing method for partition application software of embedded system |
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