CN102591774A - Method for determinating severity levels of software defects - Google Patents
Method for determinating severity levels of software defects Download PDFInfo
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- CN102591774A CN102591774A CN2011104486087A CN201110448608A CN102591774A CN 102591774 A CN102591774 A CN 102591774A CN 2011104486087 A CN2011104486087 A CN 2011104486087A CN 201110448608 A CN201110448608 A CN 201110448608A CN 102591774 A CN102591774 A CN 102591774A
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Abstract
The invention provides a method for determinating severity levels of software defects, comprising the following steps: 1) sending a determination request for software quality defects by an operator via network; 2) responding to the determination request by a determination terminal; 3) operating a software quality defect determination module; 4) respectively selecting a quantization value to assign to a corresponding software quality defect determination standard variable so as to enable each software quality defect determination standard variable to have a quantization value; 5) judging whether each software quality defect determination standard variable has a quantization value; if not, alarming and applying a prompt; if so, performing the next step; 6) calculating quantization values of the software quality defect variables; 7) judging severity levels of software defects according to the quantization values of the software quality defect variables; and 8) releasing the software quality defect determination module.
Description
Technical field
The present invention relates to software field, relate in particular to a kind of software defect severity level assay method.
Background technology
Along with the development of domestic software industry and product I Tization, the software product quality more and more obtains paying attention to, and the defective of software product also plays decisive influence to quality, and there is certain difference in each company to the severity level assay method of quality defect of software.General all is to measure through tester's experience, and this artificial mensuration is subjective, because the difference of test experiences and backgrounds, also there is each species diversity in the mensuration result of acquisition, can accurately not measure quality defect of software.Simultaneously; Each software producer is to the mensuration of the software product mass defect of producing separately; All be that the angle that stands in the developer comes the mass defect of this software is measured; Thereby possibly cause the final user in using this software product process, some deviations to occur, necessarily suspect thereby possibly make the final user that the prestige of the manufacturer of this software product is produced with mensuration result that manufacturer provides.Simultaneously, the error measurement to the software defect severity level possibly cause the cost of follow-up maintenance significantly to increase.
It is thus clear that inventing a kind of is that center, the method that can measure quality defect of software objective, accurately are very important with final user.
Summary of the invention
The object of the present invention is to provide a kind of software defect severity level assay method, it is objectively measured quality defect of software through unified bioassay standard, and determination efficiency and accuracy are high.
For realizing above-mentioned purpose, the present invention provides a kind of software defect severity level assay method, and it comprises the steps:
Step 1, operator send the mensuration request of quality defect of software through network;
Step 3.1, definition quality defect of software variable, quality defect of software bioassay standard variable, and the dimension variable of each quality defect of software bioassay standard, said quality defect of software bioassay standard variable comprises: influence degree variable, frequency variable, perception difficulty variable and reparation difficulty variable;
Step 3.2, the value of each dimension variable is quantized;
Step 4, select a quantized value assignment to give corresponding quality defect of software bioassay standard variable respectively, thereby make said quality defect of software bioassay standard variable have a quantized value respectively;
Step 6, pass through formula: the quantized value=0.8* of quality defect of software variable (quantized value of the quantized value of degree of influence variable+frequency variable)/2+0.2* (quantized value of the quantized value of perception difficulty variable+reparation difficulty variable)/2 calculates the quantized value of quality defect of software variable;
Step 8, release quality defect of software are measured module.
Said step 3.1 also comprises calls init (), defined each variable of initialization.
In the said step 3.2, the quantized value of the dimension variable of degree of influence variable is respectively: almost do not have influence be 1, to function do not have influence but client can realize to be 2, influentially to function be 3, possibly become fatal be 4, fatal be 5; The quantized value of the dimension variable of frequency variable is respectively: can not appear as 1, can appear as 2, appear as 3 extremely easily during actual the use; The quantized value of the dimension variable of perception difficulty variable is respectively: extremely embarrass 1, embarrass 2, be 3 easily; The quantized value of repairing the dimension variable of difficulty variable is respectively: be 1 easily, embarrass 2, extremely embarrass 3.
Software defect severity level in the said step 7 comprises slightly, generally, seriously reaches fatal.
Corresponding relation between the quantized value of said software defect severity level and said quality defect of software variable is: the quantized value of quality defect of software variable was more than or equal to 3.4 o'clock, and this software defect severity level is fatal; The quantized value of quality defect of software variable is less than 3.4, and more than or equal to 2.9 o'clock, this software defect severity level was serious; The quantized value of quality defect of software variable is less than 2.9, and more than or equal to 2.4 o'clock, this software defect severity level was general; The quantized value of quality defect of software variable is less than 2.4, and more than or equal to 1.0 o'clock, this software defect severity level was slight.
Said step 6 is moved said formula through calling bugLevelCount ().
Said step 8 realizes that through calling doCancel () quality defect of software measures the release of module.
Said step 7 shows quantized value and this software defect severity level of this quality defect of software variable through display.
Beneficial effect of the present invention: software defect severity level assay method provided by the present invention; It is through being the bioassay standard at center with final user; Objectively quality defect of software is measured; Thereby guarantee the accuracy and the high efficiency of mensuration, when guaranteeing product quality, can also effectively reduce the maintenance cost in later stage.
In order further to understand characteristic of the present invention and technology contents, see also following about detailed description of the present invention and accompanying drawing, yet accompanying drawing only provide reference and the explanation usefulness, be not to be used for the present invention is limited.
Description of drawings
Below in conjunction with accompanying drawing, describe in detail through specific embodiments of the invention, will make technical scheme of the present invention and other beneficial effect obvious.
In the accompanying drawing,
Fig. 1 is the process flow diagram of software defect severity level assay method of the present invention.
Embodiment
Technological means and the effect thereof taked for further setting forth the present invention are described in detail below in conjunction with the preferred embodiments of the present invention and accompanying drawing thereof.
See also Fig. 1, the present invention provides a kind of software defect severity level assay method, and it comprises the steps:
Step 1, operator send the mensuration request of quality defect of software through network;
Step 3.1, call init (), initializers mass defect is measured module, the pattern file that cited system is unified, and its method is < link href=" css/base.css " rel=" stylesheet " type=" text/css " />; Definition quality defect of software variable is var leve, quality defect of software bioassay standard variable, and the dimension variable of each quality defect of software bioassay standard; And defined variable carried out initialization, said quality defect of software bioassay standard variable comprises: degree of influence variable E, frequency variable P, perception difficulty variable α and repair difficulty variable β.
Step 3.2, the value of each dimension variable is quantized, the quantized value of the dimension variable of said degree of influence variable is respectively: almost do not have influence and be 1, to function do not have influence but client can realize to be 2, influentially to function be 3, possibly become fatal be 4, fatal be 5; The quantized value of the dimension variable of frequency variable is respectively: can not appear as 1, can appear as 2, appear as 3 extremely easily during actual the use; The quantized value of the dimension variable of perception difficulty variable is respectively: extremely embarrass 1, embarrass 2, be 3 easily; The quantized value of repairing the dimension variable of difficulty variable is respectively: be 1 easily, embarrass 2, extremely embarrass 3.
Step 4, select a quantized value assignment to give corresponding quality defect of software bioassay standard variable respectively, thereby make said quality defect of software bioassay standard variable have a quantized value respectively.
Step 6, call bugLevelCount (); Pass through formula: the quantized value=0.8* of quality defect of software variable (quantized value of the quantized value of degree of influence variable+frequency variable)/2+0.2* (quantized value of the change value of perception difficulty variable+reparation difficulty variable)/2; That is, var leve=0.8* (E+P)/2+0.2* (alpha+beta)/2 calculates the quantized value of quality defect of software variable.
Step 8, the shared method for closing doCancel () of calling system discharge quality defect of software and measure module, and its concrete grammar is top.frames [" Iframe "] .doCancel ().
In sum; Software defect severity level assay method provided by the present invention, it is objectively measured quality defect of software through being the bioassay standard at center with final user; Thereby guarantee the accuracy of mensuration; When guaranteeing product quality, can also effectively reduce the maintenance cost in later stage, improve detection efficiency.
The above for the person of ordinary skill of the art, can make other various corresponding changes and distortion according to technical scheme of the present invention and technical conceive, and all these changes and distortion all should belong to the protection domain of claim of the present invention.
Claims (8)
1. a software defect severity level assay method is characterized in that, comprises the steps:
Step 1, operator send the mensuration request of quality defect of software through network;
Step 2, mensuration terminal response are measured request;
Step 3, operating software mass defect are measured module, and this step 3 comprises:
Step 3.1, definition quality defect of software variable, quality defect of software bioassay standard variable, and the dimension variable of each quality defect of software bioassay standard, said quality defect of software bioassay standard variable comprises: influence degree variable, frequency variable, perception difficulty variable and reparation difficulty variable;
Step 3.2, the value of each dimension variable is quantized;
Step 4, select a quantized value assignment to give corresponding quality defect of software bioassay standard variable respectively, thereby make said quality defect of software bioassay standard variable have a quantized value respectively;
Step 5, judge whether all quality defect of software bioassay standard variablees all have a quantized value, if not, then report to the police and point out, if then carry out next step;
Step 6, pass through formula: the quantized value=0.8* of quality defect of software variable (quantized value of the quantized value of degree of influence variable+frequency variable)/2+0.2* (quantized value of the quantized value of perception difficulty variable+reparation difficulty variable)/2 calculates the quantized value of quality defect of software variable;
Step 7, judge the software defect severity level, and quantized value and this software defect severity level of this quality defect of software variable is shown to the user according to the quantized value of quality defect of software variable;
Step 8, release quality defect of software are measured module.
2. software defect severity level assay method as claimed in claim 1 is characterized in that, said step 3.1 also comprises calls init (), defined each variable of initialization.
3. software defect severity level assay method as claimed in claim 1; It is characterized in that; In the said step 3.2, the quantized value of the dimension variable of degree of influence variable is respectively: almost do not have influence be 1, to function do not have influence but client can realize to be 2, influentially to function be 3, possibly become fatal be 4, fatal be 5; The quantized value of the dimension variable of frequency variable is respectively: can not appear as 1, can appear as 2, appear as 3 extremely easily during actual the use; The quantized value of the dimension variable of perception difficulty variable is respectively: extremely embarrass 1, embarrass 2, be 3 easily; The quantized value of repairing the dimension variable of difficulty variable is respectively: be 1 easily, embarrass 2, extremely embarrass 3.
4. software defect severity level assay method as claimed in claim 1 is characterized in that, the software defect severity level in the said step 7 comprises slightly, generally, seriously reaches fatal.
5. software defect severity level assay method as claimed in claim 4; It is characterized in that; Corresponding relation between the quantized value of said software defect severity level and said quality defect of software variable is: the quantized value of quality defect of software variable was more than or equal to 3.4 o'clock, and this software defect severity level is fatal; The quantized value of quality defect of software variable is less than 3.4, and more than or equal to 2.9 o'clock, this software defect severity level was serious; The quantized value of quality defect of software variable is less than 2.9, and more than or equal to 2.4 o'clock, this software defect severity level was general; The quantized value of quality defect of software variable is less than 2.4, and more than or equal to 1.0 o'clock, this software defect severity level was slight.
6. software defect severity level assay method as claimed in claim 1 is characterized in that, said step 6 is moved said formula through calling bugLevelCount ().
7. software defect severity level assay method as claimed in claim 1 is characterized in that, said step 8 realizes that through calling doCancel () quality defect of software measures the release of module.
8. software defect severity level assay method as claimed in claim 1 is characterized in that, said step 7 shows quantized value and this software defect severity level of this quality defect of software variable through display.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108829576A (en) * | 2018-04-14 | 2018-11-16 | 温州职业技术学院 | A kind of software defect detection method and its detection system |
| CN110225543A (en) * | 2019-05-30 | 2019-09-10 | 上海交通大学 | Mobile terminal software quality Situation Awareness System and method based on network request packet |
| CN111290969A (en) * | 2020-05-09 | 2020-06-16 | 四川新网银行股份有限公司 | Software quality analysis method based on characteristic frequency statistics |
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| CN101968768A (en) * | 2010-10-22 | 2011-02-09 | 中国人民解放军理工大学 | Defect-based software security test requirement acquisition and classification method |
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| JP2004086319A (en) * | 2002-08-23 | 2004-03-18 | Hitachi Information Systems Ltd | Software quality evaluating method and quality evaluating system |
| CN101599013A (en) * | 2009-06-26 | 2009-12-09 | 中国科学院软件研究所 | A kind of iteration project quantification monitoring method and system thereof based on defect driven |
| CN101819617A (en) * | 2010-05-06 | 2010-09-01 | 天津大学 | Software defect based method for quantificationally estimating software credibility |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108829576A (en) * | 2018-04-14 | 2018-11-16 | 温州职业技术学院 | A kind of software defect detection method and its detection system |
| CN110225543A (en) * | 2019-05-30 | 2019-09-10 | 上海交通大学 | Mobile terminal software quality Situation Awareness System and method based on network request packet |
| CN110225543B (en) * | 2019-05-30 | 2021-11-30 | 上海交通大学 | Mobile terminal software quality situation perception system and method based on network request data |
| CN111290969A (en) * | 2020-05-09 | 2020-06-16 | 四川新网银行股份有限公司 | Software quality analysis method based on characteristic frequency statistics |
| CN111290969B (en) * | 2020-05-09 | 2021-10-22 | 四川新网银行股份有限公司 | Software quality analysis method based on characteristic frequency statistics |
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Inventor after: Li Yunlong Inventor after: Wang Dongsheng Inventor after: Hu Lingli Inventor after: Ma Xiaopeng Inventor after: Li Xiankun Inventor after: Liu Jing Inventor before: Li Yunlong Inventor before: Wang Dongsheng Inventor before: Hu Lingli Inventor before: Ma Xiaopeng Inventor before: Li Xiankun |
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Free format text: CORRECT: INVENTOR; FROM: LI YUNLONG WANG DONGSHENG HU LINGLI MA XIAOPENG LI XIANKUN TO: LI YUNLONG WANG DONGSHENG HU LINGLI MA XIAOPENG LI XIANKUN LIU JING |
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