CN105320510A - Method and device for automatically tracking data relation - Google Patents
Method and device for automatically tracking data relation Download PDFInfo
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- CN105320510A CN105320510A CN201410363988.8A CN201410363988A CN105320510A CN 105320510 A CN105320510 A CN 105320510A CN 201410363988 A CN201410363988 A CN 201410363988A CN 105320510 A CN105320510 A CN 105320510A
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Abstract
The invention discloses a method and a device for automatically tracking data relation. The method and the device are used for building the tracking relation between downstream data files and upstream data files when the downstream data files are compiled in a software development platform. The device comprises an FOG data configuration module, a FOG data tracking module and a data storage module, wherein the FOG data configuration module is used for configuring categorical attributes of dependent FOG data according to FOG data on which FOG data in a data file rely during compiling; the FOG data tracking module is used for configuring attributes of related FOG data according to the automatically loaded dependent FOG data and the related FOG data, and accordingly, a traceability matrix is built; the data storage module is used for updating and storing the traceability matrix of the FOG data in the data file in real time. By means of the method and the device, the defects that tracking granularity is not fine enough and the tracking relation cannot be established until the upstream and downstream data files are completed are overcome.
Description
Technical field
The present invention relates to the technical field of computer software programs exploitation, particularly a kind of method of automatic tracing data relationship and device.
Background technology
At present in the process of software development, the traceability between upstream and downstream data is an important attribute of software development quality.The direction tracing relation set up between upstream and downstream data is explicitly called in the development standard of some fail-safe software, to prove that upstream data is all realized by downstream data, downstream data all comes from upstream data, simultaneously can those data that cannot follow the trail of (derived data) of clear and definite by the foundation of traceability, to its additional attention.
The method of existing foundation tracking relation normally sets up tracking relation centered by document, first writes the upstream data document of tracking relation; Secondly based on upstream data document, write and complete downstream data document; Contrast upstream data document and downstream data document, set up tracking relation between the two.The method setting up tracking relation can be divided into artificial and instrument two class.Manual method normally in table form, manually enumerates the tracking relation between upstream and downstream document section or entry.The implementation that tracking relation set up by use instrument has a variety of, there is the identification by regular expression pattern matching realization tracking entry and set up upstream and downstream and follow the trail of relation, also have and directly set up tracking relation by clicking upstream and downstream Data Entry, but be all first complete upstream and downstream document, then set up tracking relation for existing upstream and downstream document.
As can be seen here, on the one hand, tracking granularity is thin not for prior art.The artificial method for tracing of great majority is all using document section as the minimum unit followed the trail of, and tracking granularity is excessively thick, analyzes when being unfavorable for that the later stage, test went wrong.On the other hand, after completing upstream and downstream document, the foundation activity of tracking relation can just must be carried out.Progress is had to the project of requirement, the technology that relation is followed the trail of in this foundation seems tediously long and uninteresting, and easily makes mistakes, debugging difficulty.
Summary of the invention
Content of the present invention is to provide a kind of method and device of automatic tracing data relationship, and to overcome, to follow the trail of granularity thin not and must could set up the shortcoming of tracking relation after completing upstream and downstream document.
For solving the problems of the technologies described above, the method and the device that the invention provides automatic tracing data relationship are achieved in that
A device for automatic tracing data relationship, during for writing downstream data document in Software Development Platform, setting up the tracking relation between upstream data document, comprising:
Configuration FOG data module, according to the FOG data that the FOG data of data file described in the activity of writing rely on, configures the dependence FOG data category attribute of described FOG data.
Follow the trail of FOG data module, by the dependence FOG data that described FOG data automatically load in the activity of writing, and the described FOG data be associated in the activity of writing, be configured by the association FOG data attribute of described tracking FOG data module to described FOG data, thus set up the tracing matrix of described FOG data.
Store data module, write the described FOG data of activity-driven and the real-time configuration of association FOG data attribute thereof according to described, real-time update stores the tracing matrix of FOG data in described data file.
Described configuration FOG data module, when activity is write in driving, according to the dependence FOG data relying on FOG data category attribute real-time loading FOG data to be programmed, writes foundation as described FOG data.
When user selects certain to rely on FOG data described in FOG program data, described tracking FOG data module, self-verifying whether the dependence FOG data fork attribute judging described FOG data is Derived Demand class; If not, then set up described FOG data by described tracking FOG data module and relied on the tracking relation of FOG data, upgrade association FOG data attribute and the tracing matrix of FOG data in described storage data module simultaneously; If so, then by described tracking FOG data module, the association FOG data attribute of described FOG data is configured to Derived Demand class, does not set up the tracking relation of described FOG data and dependence FOG data.
There is manual association tracing module, when described FOG data track many dependence FOG data simultaneously, the dependence FOG data selected according to user by described tracking FOG data module, FOG data relevant in automatic loading described configuration FOG data module, described FOG data are manually set up and other rely on tracking relation between FOG data element by user, and the described tracing matrix in the association FOG data attribute of FOG data described in real-time update and described storage data module.
There is data outputting module: support all-round display and check data details; For the tracing matrix of FOG data is derived.
Its tracking relation is in units of FOG data element, is realized the identification of described FOG data and automatically set up the tracking relation of upstream and downstream FOG data when writing by coupling.
A method for automatic tracing data relationship, is characterized in that:
Configuration FOG data step, according to the upstream FOG data of the FOG data dependence of data file described in the activity of writing, configures the dependence FOG data type attribute of described FOG data.
Follow the trail of FOG data step, by the dependence FOG data that described FOG data automatically load in the activity of writing, and the described FOG data be associated in the activity of writing, the association FOG data attribute of described FOG data is configured, sets up the tracing matrix of described FOG data.
Store data step, write the described FOG data of activity-driven and the real-time configuration of association FOG data attribute thereof according to described, real-time update stores the tracing matrix of FOG data in described data file.
A method for automatic tracing data relationship, described configuration FOG data step is when activity is write in driving, according to relying on FOG data category attribute real-time loading FOG data to be programmed and relying on FOG data, writes foundation as described FOG data.
When user selects certain to rely on FOG data described in FOG program data, described tracking FOG data step, self-verifying whether the dependence FOG data fork attribute judging described FOG data is Derived Demand class; If not, then set up the tracking relation of described FOG data and association FOG data thereof by described tracking FOG data step, in described storage data step, upgrade the association FOG data attribute and tracing matrix that store FOG data simultaneously; If so, then by described tracking FOG data step, the association FOG data attribute of described FOG data is configured to Derived Demand class, does not set up the tracking relation of described FOG data and dependence FOG data.
Manual association tracing step, when described FOG data track many dependence FOG data simultaneously, the dependence FOG data selected according to user by described tracking FOG data step, relevant FOG data in automatic loading described configuration FOG data step, described FOG data are manually set up and other rely on tracking relation between FOG data element by user, and by tracing matrix described in this tracking relation real-time update in the association FOG data attribute of FOG data described in real-time update and described storage data step.
There are data and export step: realize all-round display, check data details, by one or more in the way of output of the tracing matrix of FOG data derivation.
Its tracking relation is in units of FOG data element, is realized the identification of described FOG data and automatically set up the tracking relation of upstream and downstream FOG data when writing by coupling.
Accompanying drawing explanation
Fig. 1 is the device block diagram of automatic tracing data relationship;
Fig. 2 is the method flow diagram of trace data relation.
Embodiment
The invention provides a kind of method and device of dynamic trace data relation, all carry out based on FOG data, described FOG data refer to manipulable minimum particle size data, while writing downstream data document, automatically set up the tracking relation between the document of upstream.In the method and apparatus of automatic tracing data relationship of the present invention, data tracing should come from FOG program data movable itself, instead of data maintenance afterwards and analyzing and processing.
Example is developed as with high-rise demand:
First the present invention produces the task of a high-rise requirement developing,
Once develop high-rise demand for certain system requirements, this device can set up the tracking relation between them automatically on backstage.This spent the tediously long and uninteresting time to set up tracking relation by hand relatively in the past, was overturning of a theory.
In order to make those skilled in the art person understand the present invention program better, below in conjunction with drawings and embodiments, the present invention is described in further detail.
Below introduce the software verification device based on FOG data of the present invention, Fig. 1 shows this device block diagram.
A kind of device of automatic tracing data relationship comprises configuration FOG data module 11, follows the trail of FOG data module 12, manual association module 13, stores data module 14 and data outputting module 15.
Configuration FOG data module 11, according to the FOG data that the FOG data of data file described in the activity of writing rely on, configures the dependence FOG data category attribute of described FOG data.
Follow the trail of FOG data module 12, self-verifying whether the dependence FOG data fork attribute judging described FOG data is Derived Demand class; If not, the dependence FOG data then automatically loaded in the activity of writing by described FOG data by described tracking FOG data module, and the described FOG data be associated in the activity of writing, automatically set up the tracking relation of described FOG data and dependence FOG data thereof, upgrade association FOG data attribute and the tracing matrix of FOG data in described storage data module simultaneously; If so, then by described tracking FOG data module, the association FOG data attribute of described FOG data is configured to Derived Demand class, does not set up the tracking relation of described FOG data and dependence FOG data.
Manual association tracing module 13, when described FOG data track many dependence FOG data simultaneously, the dependence FOG data selected according to user by described tracking FOG data module, FOG data relevant in automatic loading described configuration FOG data module, described FOG data are manually set up and other rely on tracking relation between FOG data element by user, and the described tracing matrix in the association FOG data attribute of FOG data described in real-time update and described storage data module.
Store data module 14, write the described FOG data of activity-driven and the real-time configuration of association FOG data attribute thereof according to described, real-time update stores the tracing matrix of FOG data in described data file.
Data outputting module 15, supports all-round display and checks data details; For the tracing matrix of FOG data is derived.
Introduce the method for automatic tracing data relationship in the present invention below.Fig. 2 gives the method flow diagram of automatic tracing data relationship.
Step 21: configuration FOG data, according to the FOG data that the FOG data of data file described in the activity of writing rely on, configure the dependence FOG data category attribute of described FOG data.
Step 22: automatically drive and write task, when the activity of writing and affiliated dependence data relationship have configured, this device will drive the task of writing automatically, loads FOG data to be programmed and pin to rely on FOG data.
Step 23: select certain FOG data to carry out writing and preserving.
Step 24,25: follow the trail of FOG data, self-verifying whether the dependence FOG data fork attribute judging described FOG data is Derived Demand class; If not, then by the dependence FOG data of described FOG data loading automatically in the activity of writing, and the described FOG data be associated in the activity of writing, automatically set up the tracking relation of described FOG data and dependence FOG data thereof, upgrade association FOG data attribute and the tracing matrix of FOG data simultaneously; If so, then the association FOG data attribute of described FOG data is configured to Derived Demand class, does not set up the tracking relation of described FOG data and dependence FOG data
Step 26: store data, write the described FOG data of activity-driven and the real-time configuration of association FOG data attribute thereof according to described, real-time update stores the tracing matrix of FOG data in described data file.
In addition manual association tracing step is also had, when described FOG data track many dependence FOG data simultaneously, the dependence FOG data selected according to user by described tracking FOG data module, FOG data relevant in automatic loading described configuration FOG data module, described FOG data are manually set up and other rely on tracking relation between FOG data element by user, and the described tracing matrix in the association FOG data attribute of FOG data described in real-time update and described storage data module.
From above embodiment, the present invention each development activities complete create exploitation thing after, just can verify in time, without the need to wait until period appraisal, so greatly be advanced by the Intervention Timing of checking activity in Life cycle, be conducive to finding software error in advance.The present invention for granularity is verified one by one, guarantees that every bar data are all fully verified with FOG data, and can launch the division of labor, a data file can be given many people according to FOG data granularity and carry out verification checking, meanwhile, exploitation checking work just can parallel processing, increases work efficiency.
Although depict the present invention by embodiment, those of ordinary skill in the art know, the present invention is not limited to above-mentioned specific embodiment, and those skilled in the art can make various distortion or amendment within the scope of the claims, and this does not affect flesh and blood of the present invention.
Claims (12)
1. a device for automatic tracing data relationship, during for writing downstream data document in Software Development Platform, setting up the tracking relation between upstream data document, it is characterized in that, comprising:
Configuration FOG data module, according to the FOG data that the FOG data of data file described in the activity of writing rely on, configures the dependence FOG data category attribute of described FOG data;
Follow the trail of FOG data module, by the dependence FOG data that described FOG data automatically load in the activity of writing, and the described FOG data be associated in the activity of writing, be configured by the association FOG data attribute of described tracking FOG data module to described FOG data, thus set up the tracing matrix of described FOG data;
Store data module, write the described FOG data of activity-driven and the real-time configuration of association FOG data attribute thereof according to described, real-time update stores the tracing matrix of FOG data in described data file.
2. the device of a kind of automatic tracing data relationship according to claim 1, it is characterized in that, described configuration FOG data module is when activity is write in driving, according to the dependence FOG data relying on FOG data category attribute real-time loading FOG data to be programmed, write foundation as described FOG data.
3. the device of a kind of automatic tracing data relationship according to claim 1, it is characterized in that, when user selects certain to rely on FOG data described in FOG program data, described tracking FOG data module, self-verifying whether the dependence FOG data fork attribute judging described FOG data is Derived Demand class; If not, then set up described FOG data by described tracking FOG data module and relied on the tracking relation of FOG data, upgrade association FOG data attribute and the tracing matrix of FOG data in described storage data module simultaneously; If so, then by described tracking FOG data module, the association FOG data attribute of described FOG data is configured to Derived Demand class, does not set up the tracking relation of described FOG data and dependence FOG data.
4. the device of a kind of automatic tracing data relationship according to claim 1, it is characterized in that, also there is manual association tracing module, when described FOG data track many dependence FOG data simultaneously, the dependence FOG data selected according to user by described tracking FOG data module, FOG data relevant in automatic loading described configuration FOG data module, the tracking relation between described FOG data and other dependences FOG data element is manually set up by user, and the described tracing matrix in the association FOG data attribute of FOG data described in real-time update and described storage data module.
5. the device of a kind of automatic tracing data relationship according to claim 1, is characterized in that also having data outputting module: support all-round display and check data details; For the tracing matrix of FOG data is derived.
6. according to the device of a kind of automatic tracing data relationship in claim 1-5 described in any one, its tracking relation is in units of FOG data element, is realized the identification of described FOG data and automatically set up the tracking relation of upstream and downstream FOG data when writing by coupling.
7. a method for automatic tracing data relationship, is characterized in that:
Configuration FOG data step, according to the upstream FOG data of the FOG data dependence of data file described in the activity of writing, configures the dependence FOG data type attribute of described FOG data;
Follow the trail of FOG data step, by the dependence FOG data that described FOG data automatically load in the activity of writing, and the described FOG data be associated in the activity of writing, the association FOG data attribute of described FOG data is configured, sets up the tracing matrix of described FOG data;
Store data step, write the described FOG data of activity-driven and the real-time configuration of association FOG data attribute thereof according to described, real-time update stores the tracing matrix of FOG data in described data file.
8. the method for a kind of automatic tracing data relationship according to claim 7, it is characterized in that: described configuration FOG data step is when activity is write in driving, according to relying on FOG data category attribute real-time loading FOG data to be programmed and relying on FOG data, write foundation as described FOG data.
9. the method for a kind of automatic tracing data relationship according to claim 7, it is characterized in that, when user selects certain to rely on FOG data described in FOG program data, described tracking FOG data step, self-verifying whether the dependence FOG data fork attribute judging described FOG data is Derived Demand class; If not, then set up the tracking relation of described FOG data and association FOG data thereof by described tracking FOG data step, in described storage data step, upgrade the association FOG data attribute and tracing matrix that store FOG data simultaneously; If so, then by described tracking FOG data step, the association FOG data attribute of described FOG data is configured to Derived Demand class, does not set up the tracking relation of described FOG data and dependence FOG data.
10. the method for a kind of automatic tracing data relationship according to claim 7, it is characterized in that, also there is manual association tracing step, when described FOG data track many dependence FOG data simultaneously, the dependence FOG data selected according to user by described tracking FOG data step, relevant FOG data in automatic loading described configuration FOG data step, the tracking relation between described FOG data and other dependences FOG data element is manually set up by user, and by tracing matrix described in this tracking relation real-time update in the association FOG data attribute of FOG data described in real-time update and described storage data step.
The method of 11. a kind of automatic tracing data relationships according to claim 7, is characterized in that, also has data and exports step:
Realize all-round display, check data details, by one or more in the way of output of the tracing matrix of FOG data derivation.
12. according to the method for a kind of automatic tracing data relationship in claim 7-11 described in any one, its tracking relation is in units of FOG data element, is realized the identification of described FOG data and automatically set up the tracking relation of upstream and downstream FOG data when writing by coupling.
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| CN106980496A (en) * | 2017-01-18 | 2017-07-25 | 上海爱韦讯信息技术有限公司 | Tool integration method and system based on FOG data/address bus |
| CN112668292A (en) * | 2020-12-30 | 2021-04-16 | 卡斯柯信号有限公司 | Method for automatically extracting tracking matrix from system configuration rule and application thereof |
| CN113704417A (en) * | 2021-10-28 | 2021-11-26 | 北京关键科技股份有限公司 | Method and system for displaying relation between document fixed tracking and document chapter tracking |
| CN114327377A (en) * | 2022-03-14 | 2022-04-12 | 浙江太美医疗科技股份有限公司 | Method and device for generating demand tracking matrix, computer equipment and storage medium |
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