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A Fine-grained Service Automatic Collaborative Framework For Android APP

Posted on:2019-03-10Degree:MasterType:Thesis
Country:ChinaCandidate:R WangFull Text:PDF
GTID:2428330626952096Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of mobile Internet,APP running on intelligent terminal has become a necessary part of people's life.However,due to the isolation,heterogeneity and lack of data sharing and chain response among APPs,users have to switch manually and frequently between multiple APPs and services while solving complex tasks,which cause cumbersome operation and poor experience.This paper proposes a fine-grained service automatic collaborative framework for APP,which implements the functional fine-grained servitization of APP,and the heterogeneous APP collaboration based on service automatic composition,so as to satisfy users' complex requirements with “one-key response”.Firstly,on the basis of static and dynamic analysis,designing the abstract fine-grained service APP model.APP is segmented by service function,and the section from APP to services is completed.The forms of heterogeneous services are often different,we analyze and abstract the internal structure of services,encapsulate it as a uniform interface.Secondly,an automatic chain response framework is constructed to realize the flexible switching and flow-like chain response of service-oriented heterogeneous APP from the client state and data sharing level with the monitor and execution engine.Meanwhile we add a service flow recommendation mechanism,mine the semantic association between services and service parameters,collect user digital footprints to observe user preferences,and provide real-time recommendation of services in the automatic collaboration.Finally,we demonstrate the automatic collaborative effect of our approach by two real-world scenarios and experiments on an Android 7.1 platform.In summary,aiming at the collaborative interaction problem of heterogeneous autonomous APP,this paper designs and implements a fine-grained service automatic collaborative framework for APP,which meets the personalized and complex requirement of users.It is of great significance to improve execution efficiency,lighten user's operating burden and enhance user experience.
Keywords/Search Tags:Service Granularity Customization, Automatic Collaboration, Realtime Recommendation, Chain Response
PDF Full Text Request
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