CN101727533B - Automatic BUG distribution method capable of adaptive parameter regulation - Google Patents
Automatic BUG distribution method capable of adaptive parameter regulation Download PDFInfo
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- CN101727533B CN101727533B CN200810225322.0A CN200810225322A CN101727533B CN 101727533 B CN101727533 B CN 101727533B CN 200810225322 A CN200810225322 A CN 200810225322A CN 101727533 B CN101727533 B CN 101727533B
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Abstract
The invention relates to a management method of BUG in the software industry, in particular to an automatic BUG distribution method capable of adaptive parameter regulation. The method is characterized in that quantitative setting is carried out on the technological value, leisure degree and possibility of function module error of each research and development person, each set parameter is multiplied by own weight factor, and the value of possibility of processing BUG by the research and development person is obtained after addition of the items, the BUG to be processed is distributed to the research and development person with the maximum value of possibility to be processed according to the BUG details filled in by testers and each parameter and weight factor are regulated at any time by a dynamic regulation mechanism. The method ensures BUG distribution to be more scientific and reasonable and ensures smooth software programming and testing.
Description
Technical field
The present invention relates to the management method of BUG in software industry, be specifically related to the method for automatic distribution BUG of self-tuning parameter adjustment a kind of.
Background technology
In the process of software development, due to a variety of causes, can there is unavoidably wrong defect (BUG).For a high-tech software enterprise, only have rapidly, process exactly these BUG, could shorten the research and development of software cycle, make Software-Coincidence design requirement, guarantee software quality, improve the competitiveness of product in market.
BUG in software is found in the test process of software by tester, need to submit to research staff and modify, and in the time that various BUG occur, need to carry out the distribution of BUG.At present, the distribution link of BUG, by the suitable research and development slip-stick artist of project administrator artificial selection, is then carried out the work of BUG processing and is arranged.This mode exists following significantly defect: 1.BUG need to wait project administrator to distribute first, then could be processed by technician, and the dispensing rate that this just depends on project administrator, makes the processing of BUG occur time delay; 2. because the work for the treatment of that distributes BUG need to consider that a lot of actual conditions and condition are (as technician's ability, tightness degree of job placement etc.), carrying out smoothly of guarantee work for the treatment of, this is just at the task that has virtually increased project administrator.The science sharing out the work in order to realize BUG, guarantees carrying out smoothly of software programming and test job, and the necessary method to current manual allocation BUG is improved.
Summary of the invention
The object of the invention is the existing defect of working for manual allocation BUG in current software industry, the method for automatic distribution BUG of self-tuning parameter adjustment a kind of is provided, make sharing out the work of BUG more scientific and reasonable.
Technical scheme of the present invention is as follows: the method for automatic distribution BUG of self-tuning parameter adjustment a kind of, the technical value of the method to each research staff, the possibility that free time degree and functional module are made mistakes is carried out quantitative setting, and the parameter of each setting is multiplied by weight factor separately, after every addition, obtain the possibility value of research staff's treatments B UG, the details of the BUG filling according to tester, the research staff who pending BUG is distributed to this possibility value maximum processes, and by dynamic adjustment mechanism, each parameter and weight factor are adjusted at any time.
Further, in the method for the automatic distribution BUG of above-mentioned self-tuning parameter adjustment, the details of the BUG that tester fills in comprise that BUG module and BUG describe.
Further, in the method for the automatic distribution BUG of above-mentioned self-tuning parameter adjustment, if can find respective items and corresponding research staff from functions of modules table, definite formula of the possibility value P (i) of research staff's treatments B UG is as follows:
P(i)=w1×Idle(i)+w2×Tech(i)
Wherein,
W1: the weight factor value of research staff's idle degree
W2: the weight factor value of research staff's technical value
Idle (i): the idle degree of research staff i
Tech (i): the technical value of research staff i
The span of w1, Idle (i), w2, Tech (i) is [0,1], and meets w1+w2=1.
Further, in the method for the automatic distribution BUG of above-mentioned self-tuning parameter adjustment, in the time that BUG module is sky, corresponding development function Function(1～j) retrieved in the keyword of describing search function with BUG in functions of modules table, composition development function group Group, definite formula of the possibility value P (ij) of research staff's treatments B UG is as follows:
P(ij)=w0*FuncErrorRate(j)+w1*Idle(ij)+w2*Tech(ij)
Wherein,
W0: the weight factor value of function error rate
W1: the weight factor value of research staff's idle degree
W2: the weight factor value of research staff's technical value
FuncErrorRate (j): the function error rate of development function j
Idle (ij): the idle degree of the research staff i that development function is j
Tech (ij): the technical value of the research staff i that development function is j
The span of w0, w1, w2, FuncErrorRate (j), Idle (ij), Tech (ij) is [0,1], and meets w0+w1+w2=1.
Further, in the method for the automatic distribution BUG of above-mentioned self-tuning parameter adjustment, if BUG describes the keyword of search function and do not retrieve corresponding development function Function in functions of modules table,, by front j composition development function group Group of function error rate maximum in functions of modules table, obtain the research staff of suitable treatments B UG by computing formula.
Further, in the method for the automatic distribution BUG of above-mentioned self-tuning parameter adjustment, if research staff all under same development function item, increases the weight of w2, reduce the weight of w1; If research staff, not under same development function item, increases the weight of w0, reduce the weight of w1 or w2.
Further, in the method for the automatic distribution BUG of above-mentioned self-tuning parameter adjustment, the FuncErrorRate of newly-built development function is 100%, often reduces by 10% through one week.
Beneficial effect of the present invention is as follows:
(1) the present invention has considered research staff's technical capability and idle degrees, dynamically adjusts research staff's work efficiency;
(2) consider that function can reduce gradually along with improving its error rate, so that do not have vicious situation, the present invention proposes to distribute a factor of considering using function error rate as BUG, and the mode of BUG in concrete function location is provided;
(3) function of self-tuning parameter adjustment, has guaranteed in actual applications, and according to actual situation, automatic decision, adjusts parameter value, has strengthened the robustness that BUG distributes automatically.
Embodiment
Below in conjunction with specific embodiment, the present invention is described in detail.
The parameter that the principle that BUG provided by the present invention distributes need to be investigated comprises:
A, research staff's idle degree
B, research staff's technical value
The possibility that c, functional module are made mistakes
For realizing automatic distribution BUG, need newly-built functions of modules table (Function Table)
Item1: development function
Item2: the keyword of function
Item3: function error rate
Item4: research staff 1
Item5: research staff 1 technical value
Item6: research staff 2
Item7: research staff 2 technical value
Item8: research staff 3
Item9: research staff 3 technical value
Item10: research staff 4
Item11: research staff 4 technical value
In research staff's list, increase Item: idle degree
Tester fills in the details of BUG, comprises that BUG module and BUG describe.For not knowing that BUG belongs to the situation of which BUG module, record in detail BUG and describe.Be divided into following several situation:
(1) BUG module records has development function
From functions of modules table, can find respective items and corresponding research staff 1～4, directly be calculated the possibility value P (i) of research staff's treatments B UG by following formula, BUG be distributed to P (i) and be worth maximum research staff i.
P(i)=w1*Idle(i)+w2*Tech(i) （a）
W1: the weighted value of research staff's idle degree
W2: the weighted value of research staff's technical value
Idle (i): the idle degree of research staff i
Tech (i): the technical value of research staff i
The span of w1, Idle (i), w2, Tech (i) is [0,1], and meets w1+w2=1.W1 and w2 have reflected that research staff's idle degree and technical value are separately for the contribution of P (i).Tech (i) is added when the new projects function by supvr, and Idle (i) is revised according to s own situation by this research staff.
In formula (a), the initial value of parameters and weight factor is:
i=4，w1=0.5，w2=0.5。
(2) BUG module is empty
Corresponding development function Function(1～j) retrieved in the keyword of describing search function with BUG in functions of modules table, and composition development function group Group is calculated the possibility value of research staff's treatments B UG by formula below.
P(ij)=w0*FuncErrorRate(j)+w1*Idle(ij)+w2*Tech(ij) （b）
W0: the weighted value of function error rate
W1: the weighted value of research staff's idle degree
W2: the weighted value of research staff's technical value
FuncErrorRate (j): the function error rate of development function j
Idle (ij): the idle degree of the research staff i that development function is j
Tech (ij): the technical value of the research staff i that development function is j
The span of w0, w1, w2, FuncErrorRate (j), Idle (ij), Tech (ij) is [0,1], and meet w0+w1+w2=1, identical in the same formula of implication (a) of w1, w2, w0 has reflected the contribution of this functional module error rate to P (ij).FuncErrorRate (j) is dynamically adjusted by system.
If BUG describes the keyword of search function and do not retrieve corresponding development function Function in functions of modules table, by the front j of function error rate maximum in functions of modules table, composition development function group Group, repeats above formula and must calculate, and obtains suitable research staff.
In formula (b), the initial value of parameters and weight factor is:
i=4，j=4，w0=0.2，w1=0.3，w2=0.5。
Rational Parameters in assigning process is set up, it is the whole key factor being allocated successfully, parameter only just can find suitable value in actual distribution, so the present invention adopts dynamic adjustment mechanism, in the process of application, in real time parameter w0, w1, w2 are adjusted, to reach the reasonable situation of the best of distribution.
In the time that the research staff who distributes to is not the solver of this BUG, can again distribute to Other Engineering teacher.If two research staff all, under same development function item, suitably increase the weight of w2, reduce the weight of w1 simultaneously; If two research staff, not under same development function item, suitably increase the weight of w0, reduce the weight of w1 or w2 simultaneously; But in adjustment process, must meet w0+w1+w2=1.The increase that weight factor is concrete and the amplitude that reduces are distributed on scientific and reasonable basis and are determined according to actual conditions in assurance.
In addition, along with the development progress of project, the function error rate FuncErrorRate of development function can not be unalterable yet, from common rule, the passing of time thereupon, the situation of makeing mistakes can reduce gradually, therefore, also need this parameter dynamically to adjust.In general, the FuncErrorRate of newly-built development function is made as 1(100%), every through within one week, just reducing 0.1(10%).
Method of the present invention is not limited to the embodiment described in embodiment, and those skilled in the art's technical scheme according to the present invention draws other embodiment, belongs to equally technological innovation scope of the present invention.
Claims (4)
1. the method for the automatic distribution BUG of a self-tuning parameter adjustment, it is characterized in that: the technical value of the method to each research staff, the possibility that free time degree and functional module are made mistakes is carried out quantitative setting, and the parameter of each setting is multiplied by weight factor separately, after every addition, obtain the possibility value of research staff's treatments B UG, the details of the BUG filling according to tester, the research staff who pending BUG is distributed to this possibility value maximum processes, and by dynamic adjustment mechanism, each parameter and weight factor are adjusted at any time, the details of the BUG that tester fills in comprise that BUG module and BUG describe,
If can find respective items and corresponding research staff from functions of modules table, definite formula of the possibility value P (i) of research staff's treatments B UG is as follows:
P(i)=w1×Idle(i)+w2×Tech(i)
Wherein,
W1: the weight factor value of research staff's idle degree
W2: the weight factor value of research staff's technical value
Idle (i): the idle degree of research staff i
Tech (i): the technical value of research staff i
The span of w1, Idle (i), w2, Tech (i) is [0,1], and meets w1+w2=1;
In the time that BUG module is sky, corresponding development function Function(1～j) retrieved in the keyword of describing search function with BUG in functions of modules table, composition development function group Group, definite formula of the possibility value P (ij) of research staff's treatments B UG is as follows:
P(ij)=w0*FuncErrorRate(j)+w1*Idle(ij)+w2*Tech(ij)
Wherein,
W0: the weight factor value of function error rate
W1: the weight factor value of research staff's idle degree
W2: the weight factor value of research staff's technical value
FuncErrorRate (j): the function error rate of development function j
Idle (ij): the idle degree of the research staff i that development function is j
Tech (ij): the technical value of the research staff i that development function is j
The span of w0, w1, w2, FuncErrorRate (j), Idle (ij), Tech (ij) is [0,1], and meets w0+w1+w2=1.
2. the method for the automatic distribution BUG of self-tuning parameter adjustment as claimed in claim 1, it is characterized in that: in functions of modules table, do not retrieve corresponding development function Function if BUG describes the keyword of search function,, by front j composition development function group Group of function error rate maximum in functions of modules table, obtain the research staff of suitable treatments B UG by computing formula.
3. the method for the automatic distribution BUG of self-tuning parameter adjustment as claimed in claim 1, is characterized in that: if research staff all under same development function item, increases the weight of w2, reduce the weight of w1; If research staff, not under same development function item, increases the weight of w0, reduce the weight of w1 or w2.
4. the method for the automatic distribution BUG of self-tuning parameter adjustment as claimed in claim 1, is characterized in that: the FuncErrorRate of newly-built development function is 100%, every through reduction by 10% in a week.
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| US10248919B2 (en) | 2016-09-21 | 2019-04-02 | Red Hat Israel, Ltd. | Task assignment using machine learning and information retrieval |
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| CN102226913A (en) * | 2011-05-23 | 2011-10-26 | 中国科学院软件研究所 | Method for automatically generating Bug repair plan and Bug repair method |
| CN106897378A (en) * | 2017-01-20 | 2017-06-27 | 浙江大学 | A kind of semantic parameter search dynamic regulating method towards three-dimensional CAD model |
| CN110135169A (en) * | 2019-05-21 | 2019-08-16 | 江苏亨通工控安全研究院有限公司 | Leak detection method and device |
| US11714743B2 (en) | 2021-05-24 | 2023-08-01 | Red Hat, Inc. | Automated classification of defective code from bug tracking tool data |
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| CN1816787A (en) * | 2003-07-04 | 2006-08-09 | 宝马股份公司 | Method for authenticating, in particular, software components that can be loaded into a control unit of a motor vehicle |
| CN101256492A (en) * | 2008-03-31 | 2008-09-03 | 宋乃辉 | Software development method and system for executing model drive structure |
| CN101286132A (en) * | 2008-06-02 | 2008-10-15 | 北京邮电大学 | Test method and system based on software defect mode |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1816787A (en) * | 2003-07-04 | 2006-08-09 | 宝马股份公司 | Method for authenticating, in particular, software components that can be loaded into a control unit of a motor vehicle |
| CN101256492A (en) * | 2008-03-31 | 2008-09-03 | 宋乃辉 | Software development method and system for executing model drive structure |
| CN101286132A (en) * | 2008-06-02 | 2008-10-15 | 北京邮电大学 | Test method and system based on software defect mode |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US10248919B2 (en) | 2016-09-21 | 2019-04-02 | Red Hat Israel, Ltd. | Task assignment using machine learning and information retrieval |
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Address after: 100080 Beijing city Haidian District No.1 xicaochang Silicon Valley computer city 7001 Patentee after: Beijing Newauto Group Co. Ltd. Address before: 100080 Beijing city Haidian District No.1 xicaochang Silicon Valley computer city 7001 Patentee before: Newauto Silicon Valley Video Technology Co., Ltd. |
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Granted publication date: 20140618 Termination date: 20191030 |
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