scholarly journals Adaptive Mobile Web Applications: A Quantitative Evaluation Approach

Author(s):  
Heiko Desruelle ◽  
Dieter Blomme ◽  
Frank Gielen
Author(s):  
Cecilia Challiol ◽  
Sergio Firmenich ◽  
Gabriela Alejandra Bosetti ◽  
Silvia E. Gordillo ◽  
Gustavo Rossi
Keyword(s):  

Author(s):  
Jibitesh Mishra ◽  
Kabita Rani Naik

Web 2.0 is a new generation of web applications where the users are able to participate, collaborate and share the created artefacts. Web 2.0 is all about the collective intelligence. Web 2.0 applications are widely used for all the educational, professional, business and entertainment purposes. But a methodology for quantitative evaluation of web2.0 application quality is still not available. With the advancement of web technology various dimensions to evaluate web2.0 application quality is changing. So studies will be made to select a quality model that is required for web 2.0 application. Then the quantitative analysis will be done on the basis of questionnaire method and statistical formula. Quantitative analysis is necessary to know the weakness and strength of a website and then to improve the web quality. Quantitative evaluation can also be used for comparing two or more websites. In this study, quantitative analysis is done for each quality attribute of two social networking sites. Then the two sites are compared on the basis of the quantitative value of quality.


2019 ◽  
Vol 12 (1) ◽  
pp. 6-19 ◽  
Author(s):  
Gang Huang ◽  
Xuanzhe Liu ◽  
Yun Ma ◽  
Xuan Lu ◽  
Ying Zhang ◽  
...  

2018 ◽  
Vol 1114 ◽  
pp. 012078
Author(s):  
Mochamad Alfan Rosid ◽  
Bayu Anggara Putra ◽  
Andry Rachmadany
Keyword(s):  

2018 ◽  
Vol 7 (4.1) ◽  
pp. 18
Author(s):  
Isatou Hydara ◽  
Abu Bakar Md Sultan ◽  
Hazura Zulzalil ◽  
Novia Admodisastro

Cross-site scripting vulnerabilities are among the top ten security vulnerabilities affecting web applications for the past decade and mobile version web applications more recently. They can cause serious problems for web users such as loss of personal information to web attackers, including financial and health information, denial of service attacks, and exposure to malware and viruses. Most of the proposed solutions focused only on the Desktop versions of web applications and overlooked the mobile versions. Increasing use of mobile phones to access web applications increases the threat of cross-site scripting attacks on mobile phones. This paper presents work in progress on detecting cross-site scripting vulnerabilities in mobile versions of web applications. It proposes an enhanced genetic algorithm-based approach that detects cross-site scripting vulnerabilities in mobile versions of web applications. This approach has been used in our previous work and successfully detected the said vulnerabilities in Desktop web applications. It has been enhanced and is currently being tested in mobile versions of web applications. Preliminary results have indicated success in the mobile versions of web applications also. This approach will enable web developers find cross-site scripting vulnerabilities in the mobile versions of their web applications before their release.  


2017 ◽  
Vol 2017 ◽  
pp. 1-28 ◽  
Author(s):  
Gabriela Bosetti ◽  
Sergio Firmenich ◽  
Silvia E. Gordillo ◽  
Gustavo Rossi ◽  
Marco Winckler

The trend towards mobile devices usage has made it possible for the Web to be conceived not only as an information space but also as a ubiquitous platform where users perform all kinds of tasks. In some cases, users access the Web with native mobile applications developed for well-known sites, such as, LinkedIn, Facebook, and Twitter. These native applications might offer further (e.g., location-based) functionalities to their users in comparison with their corresponding Web sites because they were developed with mobile features in mind. However, many Web applications have no native counterpart and users access them using a mobile Web browser. Although the access to context information is not a complex issue nowadays, not all Web applications adapt themselves according to it or diversely improve the user experience by listening to a wide range of sensors. At some point, users might want to add mobile features to these Web sites, even if those features were not originally supported. In this paper, we present a novel approach to allow end users to augment their preferred Web sites with mobile features.We support our claims by presenting a framework for mobile Web augmentation, an authoring tool, and an evaluation with 21 end users.


2015 ◽  
Vol 25 (09n10) ◽  
pp. 1777-1782
Author(s):  
Frederik H. Nakstad ◽  
Hironori Washizaki ◽  
Yoshiaki Fukazawa

Existing techniques for crawling Javascript-heavy Rich Internet Applications tend to ignore user interactions beyond mouse clicking, and therefore often fail to consider potential mouse, keyboard and touch interactions. We propose a new technique for automatically finding and exercising such interactions by analyzing and exercising event handlers registered in the DOM. A basic form of gesture emulation is employed to find states accessible via swiping and tapping. Testing the tool against 6 well-known gesture libraries and 5 actual RIAs, we find that the technique discovers many states and transitions resulting from such interactions, and could be useful for cases such as automatic test generation and error discovery, especially for mobile web applications.


Sign in / Sign up

Export Citation Format

Share Document