Mobile application software performance prediction method based on attributes
A software performance, mobile application technology, applied in data processing applications, special data processing applications, computer parts, etc., can solve problems such as poor practicability and inability to apply software analysis, and achieve the effect of strong practicability
Inactive Publication Date: 2016-07-20
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology
[0003] In order to overcome the shortcomings of poor practicability of existing mobile application software performance prediction methods, the present invention provides an attribute-based mobile application software performance prediction method
The invention solves the technical problem that the background technology cannot analyze the application software with no comment information or little comment information, and has strong practicability
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[0027] refer to figure 1 . The specific steps of the attribute-based mobile application software performance prediction method of the present invention are as follows:
[0028] Step 1, collecting application data in the target application store based on a web crawler;
[0029] The data includes information such as the name of the application, attribute information of the application, user comments on the application, and the like. Among them, the attribute information of the application is mainly composed of two parts: the category of the application and the permission of the application calling the system, and these data are the basic information used for analyzing the positive rating of the application in the present invention. The user's comments on the application are mainly divided into three types of information: positive comments, negative comments, and unknown emotional tendencies.
[0030] Step 2, obtaining different attribute label information based on the collect...
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The present invention discloses a mobile application software performance prediction method based on attributes. The objective of the invention is to solve the technical problem that a mobile application software performance prediction method in the prior art is poor in practicability. A network crawler program is employed to collect commercial software application attribute information; different attribute tags are extracted based on the collected software application attribute information; internal feature vectors based on a word frequency inverse document frequency method are built aiming at each application; existing user comment information is processed; the negative comment content in the comment is extracted and words having the highest frequencies of occurrence are selected in order and taken as negative comment key words; constructing the relation matrix between the negative key words and the application attribute tags according to the relation of the negative comment and the application attributes; the external features of the application expressed by the key words are derived through adoption of the relation matrix of the key words and the application feature vectors; a decision tree classifier is used through combination of the inherent features and the external features of the application; and the features of the application is subjective to classification learning and prediction. The mobile application software performance prediction method based on attributes is high in practicality.
Description
technical field [0001] The invention relates to a method for predicting the performance of mobile application software, in particular to an attribute-based method for predicting the performance of mobile application software. Background technique [0002] With the widespread use of smart phones, various mobile applications running on mobile phones have enriched people's daily life. As a release platform for mobile phone software, various mobile application markets (such as: GooglePlay, AppleStore and Peapod, etc.) have attracted the attention of a large number of users. Users can comment or give feedback on related software on these platforms, and this information can help software developers improve the design of applications to meet the needs of users. However, due to the difference in the quality of software developers and the response speed to user feedback, the quality of mobile applications is uneven, and a large number of applications cannot be recognized by users. H...
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IPC IPC(8): G06Q10/06G06K9/62G06F17/30
CPCG06F16/951G06Q10/06393G06F18/241
Inventor 於志文弋飞郭斌王柱
Owner NORTHWESTERN POLYTECHNICAL UNIV
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