DocumentCode :
125522
Title :
A Graph-Based Approach to Assisting Creation of Mobile Web Applications
Author :
Yun Ma ; Xuan Lu ; Yuchong Luo ; Xuanzhe Liu
Author_Institution :
Lab. of High Confidence Software Technol., Peking Univ., Beijing, China
fYear :
2014
fDate :
June 27 2014-July 2 2014
Firstpage :
728
Lastpage :
729
Abstract :
Web applications have played an important role in mobile computing since they are developed by standard web technology, easy to achieve portability and always up to date. As a widely adopted development fashion, mashup integrates data, computation and UI elements from multiple web-delivered services into a single web application, which is a promising way to develop applications for mobile devices. However, developing mobile web applications by mashup has faced two challenges: on one hand, the growing popularity of web-delivered services, especially those equipped with mobile features like LBS, increases the difficulty of finding proper services and connections between services to create situational applications, on the other hand, mobile computing yields for agile development and fast iteration to meet users everchanging requirements, imposing more burden on developers. This paper presents a graph-based approach to helping mobile developers create mobile web applications. Based on this graph model, algorithms by synthesizing different recommendation patterns are designed to assist mashup completion, such as finding the missing components, connections between them, or potentially relevant options.
Keywords :
Internet; graph theory; mobile computing; software engineering; graph-based approach; mashup completion; mobile Web application creation; mobile computing; recommendation patterns; Educational institutions; Integrated circuits; Mashups; Mobile communication; Mobile computing; Steiner trees; mobile; recommendation; service mashup; web application;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Services (ICWS), 2014 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5053-9
Type :
conf
DOI :
10.1109/ICWS.2014.120
Filename :
6928978
Link To Document :
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