CN102760152A - Automated open-source software quality evidence extraction method - Google Patents

Automated open-source software quality evidence extraction method Download PDF

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Publication number
CN102760152A
CN102760152A CN2012100971726A CN201210097172A CN102760152A CN 102760152 A CN102760152 A CN 102760152A CN 2012100971726 A CN2012100971726 A CN 2012100971726A CN 201210097172 A CN201210097172 A CN 201210097172A CN 102760152 A CN102760152 A CN 102760152A
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software
home server
data
target software
quality
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CN102760152B (en
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王怀民
尹刚
袁霖
李翔
史殿习
朱沿旭
王涛
丁博
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National University of Defense Technology
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Abstract

The invention discloses an automated open-source software quality evidence extraction method, comprising the following steps: a local server receives a user request and inquires whether a local database has newest change data of target software; if update data in a preset time period are existent, the local server provides various quality evidences and measurement scores of the target software and returns the evidences and the scores to a user, periodically checks and updates corresponding resource bases of the existing items, and recalculates each measurement value; and if the local database hasn't the newest change data of the target software, the local server searches on the Internet and determines a remote server with the newest change data of the target software, downloads the newest change data to the local database, analyzes the newly-downloaded newest change data of the target software so as to extract and store structured data items, extracts software quality measurement from the analyzed structured data, provides various quality evidences and measurement scores of the target software and returns the evidences and the scores to the user. According to the automated open-source software quality evidence extraction method, the local resource bases are updated periodically, so that the automatic extraction of the open-source software quality evidences is realized.

Description

A kind of open source software quality evidence method for distilling of robotization
Technical field
The present invention relates to a kind of extraction method of open source software quality evidence, mainly comprise the robotization acquisition methods of various software quality evidences.
Background technology
Open source software is being brought into play crucial effects in numerous applications at present.But because open source software lacks functional test and the performance test of strictly regulating, potential safety hazard that open source software causes and property loss are also of common occurrence.Along with increasing sharply of software systems scale and complexity, the data of obtaining mass propertys such as can reflecting open source software correctness, reliability, security promptly and accurately are for the selection of open source software and correctly use significant.
Though the planned diplomatic concentrated test that the internet open source software does not have software engineering technology to stress; After but open source software was issued on the internet, its customer group in large scale will be at open source software exchange between communities, feedback, the various experiences of discussion and failure message.On these Essence of Information a kind of large-scale spontaneous software test report who does not have set form.Chinese scholars finds that through statistical study these data have following characteristics and rule:
1, major function defective and the performance issue that the application feedback and the defect report of open source software covered open source software basically of the mass user crowd on the internet.
2, comprise a large amount of detecting informations in the version repository of software development community, defective storehouse, the mail tabulation.Mutually online lot of data source all is Web data of having quoted exploitation community, but the data in its version repository are not reflected in wherein because invisible.
For the open source software project of the huge amount that is distributed widely in the internet, how to help the user to understand the various qualitative attribute indexs of some softwares accurately and rapidly, and reasonably select correct, appropriate software and become a problem that letter is to be solved.Wherein, the robotization method for distilling of software quality evidence is a gordian technique that addresses this problem.But, receive the influence of the many factors outside the softwares self such as software application scope, field, environment, at present the software quality evidence chosen and uses the operability that is theoretically unsound with actual.Along with the rise that with Linux is the motion of increasing income of representative, make that open source software is increasing to be paid close attention to and use by people.Open source software has produced a large amount of, various types of data in its whole life, these data are obtaining of the objective quality evidence of software and use some new thinkings are provided.
In open source software quality evaluation field, the existing software quality model has considerable influence mainly is BRR (the Business Readiness Rating for Open source) model of CMU Software Engineering Institute and QSOS (the Qualifications and Selection of Open Source Software) model of European Atos Origin company.Estimating is the direct tolerance of software objective attribute, is used to express some aspect of reflection product objective quality.The quality evidence be various estimate carry out based measurement.In the above-mentioned model, though the concrete qualitative attribute of using is not quite alike, process and method is basic identical: at first define the software quality attribute, again attribute is subdivided into several and estimates; The user extracts software correlated quality evidence information with manual mode, and then provides the score value of correlated measure; At last, calculate the integrate score value based on predefined each attribute weight.
Said method is not only because the subjectivity that its software is estimated causes practicality not strong; And the acquisition process of quality evidence be loaded down with trivial details unusually, expense is huge; Also need drop into huge time and efforts even the professional carries out complete analysis to a software, and limited authoritative institution obviously can't accomplish the task of the software of magnanimity being carried out separate analysis.This for the Internet era amount of software extensive growth be very unaccommodated, can't satisfy the user fast, convenient, understand the demand of the various qualitative attributes of software accurately.
Summary of the invention
The objective of the invention is to deficiency, propose a kind of open source software quality evidence method for distilling of robotization, have higher operability and dirigibility, can abundant, alternative software quality evidence be provided for the user to prior art.
Technical scheme of the present invention may further comprise the steps:
Step 1, user's request processing step: home server receives the user's request about a certain quality evidence or quality measure, whether has the up-to-date change data of target software in the inquiry local data base; If the Preset Time section N that has target software in the local data base is with interior Updating Information, then execution in step 5; If no, execution in step 2 then.
Further, the title and the version number that comprise said target software in the request of the user in the step 1.
Further, the up-to-date change data of the said target software in the step 1 comprise defective storehouse, problem base, version repository, mail tabulation, forum's text library etc.
Further, the said Preset Time section N in the step 1 is the integer of being set by the system manager, is limited to 1 day when representing data expired like N=24.
Step 2, up-to-date change data download step: the far-end server of some of the up-to-date change data of said target software is searched for and confirmed to have to home server on the internet, downloads said up-to-date change data to local data base from far-end server.
Further, said up-to-date change data download step comprises:
Whether step 21, inspection exist the corresponding code control system (like svn) of said target software in the home server, if exist then the software development control management system and the far-end server of home server carried out synchronously; Otherwise home server detects through respective code control system client utility (like tortoiseSVN) according to the address (like http://svn.apache.org/repos/asf) of known code control system;
Whether there is the corresponding defective trace information storehouse of said target software in step 22, the inspection home server; If exist and target defective trace information storehouse support renewal DLL itself, then the defective trace information storehouse of home server upgraded through this interface; Under all the other situation, home server is according to the address in known defective trace information storehouse, and the download interface able to programme that provides through defective trace information storehouse creates a Copy or replaces legacy version at home server;
Whether step 23, server inspection exist the mail tabulation Download History of said target software; If have, then end step 2; Otherwise server calls corresponding tool or script are downloaded to home server.
Step 3, data parsing step: home server is resolved the up-to-date change data of newly downloaded said target software, therefrom extracts structurized data clauses and subclauses and is stored in the background server database.
Said further structurized data clauses and subclauses comprise:
From the related file set of the code release of code control system number, submission person's title, submission time, submission, related code line; And from the defective of defective control system number, proposition time, repair time, defect state, the order of severity, priority; With from the tabulation promoter of mail tabulation, mail matter topics, all recipient's titles, email address, all answer person's titles, email address etc.
Step 4, software quality are estimated extraction step: extract software quality the structural data after resolving and estimate, be stored in server;
Further, said software quality is estimated code contribution degree and the defective response speed that comprises the developer.
Step 5, quality evidence return step: home server provides each mass evidence of target software and estimates score value, returns the user.
Like the most crucial developer's of user inquiring project code contribution degree, then system's code contribution degree maximal value that step 4 is calculated returns to the user.
Step 6, home server Data Update step: home server is made regular check on existing project, upgrades the respective resources storehouse, recomputates each measure value.
In above-mentioned each step, all downloading process can be used ripe instrument or method.Wherein, step 21 can impact the kind and the number of quality evidence, but can not influence whole evaluation process to 23 being option.
Description of drawings
Fig. 1 is the process flow diagram of the open source software quality evidence method for distilling embodiment one of robotization of the present invention;
Fig. 2 downloads the process flow diagram of embodiment two for the open source software quality evidence method for distilling resources bank of robotization of the present invention;
Embodiment
The quality evidence that the present invention is primarily aimed at magnanimity open source software on the internet carries out the robotization extraction.
As shown in Figure 1, be the existing project evaluation process flow diagram of the home server of open source software quality evidence robotization acquisition methods of the present invention, specifically carry out following steps:
Step 101, user file a request to server, need obtain the correlated quality evidence of software project A;
Step 102, server find existing various qualitative attributes and correlated quality evidence thereof about software project A in this locality, return the user.
More specifically; Target software be checked through code control system at home server, fault management system, mail tabulation stock and nearestly upgrade once less than N hour that (Integer N can be set by the system manager; Be limited to 1 day when representing data expired like N=24), then mean and obtained the information that is used to estimate its qualitative attribute relevant in the home server with this software project.
The qualitative attribute of software project for example can comprise correctness, robustness, compatibility, can extendability, portability property etc.And different qualitative attributes can utilize one or several different measure values to represent; Had different versions such as linux, windows etc. if for example find specific software project based on the different operation platform, meaned that then this software has stronger portability; Have renewal and maintenance that sending out of certain-length opened the cycle and in the construction cycle, to have certain frequency (for example weekly or every month once) if find this software, the leak patch means that then this software project has robustness preferably.
Step 103, user choose own attribute and the quality evidence of being paid close attention to thereof.For example submit situation and number of times to, calculate each developer's code contribution degree according to personnel's code; Or repair the time that is spent from proposing to according to each defective, come the response speed of computational item to defective; Or according to the theme in the mail tabulation, excavate different times, situation of change of the hot issue that development teams is discussed or the like; Part is estimated basis concrete application scenarios separately, is provided with and estimates score value, and like above-mentioned each developer's code contribution degree, the lines of code that can be made as its submission accounts for the number percent of all lines of codes of having submitted to.
The quality evidence robotization acquisition process of step 104, project A finishes.
This method is carried out obtaining of robotization to open source software quality evidence on the internet; Simplify the manual acquisition process of loaded down with trivial details repetition, made full use of existing result of calculation, greatly simplified user of service's workload; Dirigibility is relatively good, and the evidence that can tackle magnanimity software obtains demand.
It is pointed out that in embodiment one at this, only listed home server and checked that code control system, fault management system, the mail tabulation relevant with the open source software project all has the situation of latest update data.Embodiment two as shown in Figure 2; Only schematically show when not having relevant with the software under testing project any latest update data; To the situation that code control system, fault management system, mail tabulation are checked successively and upgraded, those skilled in the art can know, in embodiment one; When in code control system, fault management system, the mail tabulation one or two do not have the latest update data, should implement corresponding downloading process in two.When the home server of open source software quality evidence acquisition methods obtains process flow diagram to the quality evidence of the project of not downloading complete resources bank as yet, specifically carry out following steps:
Step 201, user file a request to server, need obtain the correlated quality evidence information of item B;
Step 202, server inspection local data base are not found the up-to-date complete resources bank information of item B;
The inspection of step 203, server whether existed item B the exploitation control management system (like SVN, CVS, GIT) Download History; If have, execution in step 205; Otherwise, execution in step 204;
The exploitation control management system data of step 204, the corresponding plug-in unit search of server calls and download items B are to home server;
More specifically, whether have the corresponding code control system (like svn) of target software in the inspection home server, existence is then carried out the software development control management system and the far-end of this locality synchronously; Otherwise server detects through respective code control system client utility (like tortoiseSVN) according to the address (like http://svn.apache.org/repos/asf) of known code control system, downloads to server this locality;
If the process control information of exploitation control management system data owner project between development stage of item B for example comprises the related file set of code release number, submission person's title, submission time, submission, related code line etc.
Whether step 205, server inspection exist the Download History in the defective trace information storehouse (like Bugzilla or Tracker) of item B; If have, execution in step 207; Otherwise, execution in step 206;
At first check the defective trace information storehouse (like the Tracker system) that whether exists said target software corresponding in the home server; If exist and target defective trace information storehouse support renewal DLL itself, then the defective trace information storehouse of home server upgraded through this interface; Under all the other situation, home server is according to the address in known defective trace information storehouse, and the download interface able to programme that provides through defective trace information storehouse creates a Copy or replaces legacy version at home server;
The defective trace information database data of step 206, the corresponding plug-in unit search of server calls and download items B is to home server;
Defective trace information storehouse for example can provide information such as defective number, proposition time, repair time, defect state, the order of severity, priority to be used for the characterization software quality;
More specifically; Whether there is the corresponding defective trace information storehouse (like the Tracker system) of target software in the inspection home server; If exist and target defective trace information storehouse support renewal DLL itself, then the defective trace information storehouse of this locality upgraded through this interface; Under all the other situation, server, downloads to server this locality or replaces legacy version through the download interface able to programme that defective trace information storehouse provides according to the address in known defective trace information storehouse.
Whether step 207, server inspection exist the mail tabulation Download History of item B; If have, execution in step 209; Otherwise, execution in step 208;
The mail storehouse of step 208, the search of server calls corresponding tool and download items B is to home server; Because the mail tabulation of different web sites has different organizational forms, this script or instrument are different because of project.
In general, the mail tabulation that provides of the mail storehouse relevant with software project can provide the tabulation promoter relevant with this software project, mail matter topics, all recipient's titles, email address, all answer person's titles, email address etc.Can in the mail tabulation of obtaining, gather and sort; Obtain most active concern user relevant and email address thereof etc., thereby current developer can search for further with the subscriber-related software project theme of this most active concern and carry out technical discussion and exchange with this software project.
Step 209 ending resource storehouse downloading process;
Through above-mentioned processing procedure; Can carry out leaching process to the software quality evidence that the mode of increasing income is developed; For example safeguard and exploitation control management system information, defective trace information library information and the mail tabulation information etc. relevant that provide with the open source software project through the community that generally increases income; Can obtain quality evidence information automatically, avoid the loaded down with trivial details process that repeats of evidence acquisition process, greatly simplify user's workload; Can choose its qualitative attribute of paying close attention to and estimate by user oneself, take into full account the domain features of user personality demand and software, improved the dirigibility that the quality evidence is chosen, and the quality evidence that can satisfy magnanimity software on the internet obtain demand.
It should be noted last that; Above embodiment is only unrestricted in order to technical scheme of the present invention to be described; Although the present invention is specified with reference to preferred embodiment; Those of ordinary skill in the art should be appreciated that and can make amendment or be equal to replacement technical scheme of the present invention, and do not break away from the spirit and the scope of technical scheme of the present invention.

Claims (5)

1. the open source software quality evidence method for distilling of a robotization comprises the following steps:
Step 1, user's request processing step: home server receives the user's request about a certain quality evidence or quality measure, whether has the up-to-date change data of target software in the inquiry local data base; If the Preset Time section N that has target software in the local data base is with interior Updating Information, execution in step 5-6 then; If no, execution in step 2-6 then;
Step 2, up-to-date change data download step: the far-end server of some of the up-to-date change data of said target software is searched for and confirmed to have to home server on the internet, downloads said up-to-date change data to local data base from far-end server;
Step 3, data parsing step: home server is resolved the up-to-date change data of newly downloaded said target software, therefrom extracts structurized data clauses and subclauses and is stored in background data base;
Step 4, software quality are estimated extraction step: extract software quality the structural data after resolving and estimate, be stored in server;
Step 5, quality evidence return step: home server provides each mass evidence of target software and estimates score value, returns the user.
Step 6, home server Data Update step: home server is made regular check on existing project, upgrades the respective resources storehouse, recomputates each measure value.
2. the title and the version number that the method for claim 1, wherein comprise said target software in the said user's request in the step 1; The up-to-date change data of said target software comprise defective storehouse, problem base, version repository, mail tabulation, forum's text library etc.; Said Preset Time section N is the integer of being set by the system manager, is limited to 1 day when representing data expired like N=24.
3. the method for claim 1, wherein said up-to-date change data download step further comprises:
Whether step 21, inspection exist the corresponding code control system of said target software in the home server, if exist then the software development control management system and the far-end server of home server carried out synchronously; Otherwise home server detects through respective code control system client utility according to the address of known code control system;
Whether there is the corresponding defective trace information storehouse of said target software in step 22, the inspection home server; If exist and target defective trace information storehouse support renewal DLL itself, then the defective trace information storehouse of home server upgraded through this interface; Under all the other situation, home server is according to the address in known defective trace information storehouse, and the download interface able to programme that provides through defective trace information storehouse creates a Copy or replaces legacy version at home server;
Whether step 23, server inspection exist the mail tabulation Download History of said target software; If have, then end step 2; Otherwise server calls corresponding tool or script are downloaded to home server.
4. the method for claim 1, wherein structurized data clauses and subclauses comprise described in the step 4 from the related file set of the code release of code control system number, submission person's title, submission time, submission, related code line; And from the defective of defective control system number, proposition time, repair time, defect state, the order of severity, priority; With from the tabulation promoter of mail tabulation, mail matter topics, all recipient's titles, email address, all answer person's titles, email address etc.
5. the method for claim 1, wherein said software quality is estimated code contribution degree and the defective response speed that comprises the developer.
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CN107015818A (en) * 2017-06-06 2017-08-04 北京洋浦伟业科技发展有限公司 Outside covering update method and device that the non-body part of application updates
CN108920152B (en) * 2018-05-25 2021-07-23 郑州云海信息技术有限公司 Method for adding custom attribute in bugzilla
CN108920152A (en) * 2018-05-25 2018-11-30 郑州云海信息技术有限公司 A method of increasing Custom Attributes in bugzilla
CN108932198A (en) * 2018-07-06 2018-12-04 深圳源码智能科技有限公司 The method and apparatus for calculating source code contribution degree
CN109086968A (en) * 2018-07-06 2018-12-25 深圳源码智能科技有限公司 The method and apparatus for realizing common recognition algorithm
CN109284609A (en) * 2018-08-09 2019-01-29 北京奇虎科技有限公司 A kind of method, apparatus and computer equipment for viral diagnosis
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CN111078193A (en) * 2019-12-11 2020-04-28 镇江新一代信息技术产业研究院有限公司 Software development method and system for data analysis system
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