Software Architectures for an Extensible Web-Based Survey System

2005 ◽  
Vol 1 (4) ◽  
pp. 56-69 ◽  
Author(s):  
Suresh Chalasani ◽  
Dirk Baldwin
2020 ◽  
Author(s):  
Maria Julia Blas ◽  
Horacio P. Leone ◽  
Silvio M. Gonnet

Software architectures can be used as a vehicle to improve the study of quality properties in the early stages of development. This paper proposes an automatic mapping between the design of architectural components and the specification of DEVS atomic models with aims to evaluate all-purpose quality metrics. Then, we use the functional description of architectural components (that address functional requirements) to estimate the architecture adjustment to non-functional requirements. The guidelines for structuring the simulation models are defined starting from the design of high-level components. To illustrate the proposal, web-based architecture is used as proof of concepts.


Author(s):  
Dirk Baldwin ◽  
Suresh Chalasani

Many businesses obtain feedback by surveying customers and business partners. Increasingly, these surveys are conducted via the Web. This chapter reviews briefly literature regarding Web-based surveys and describes a software architecture for a Web-based survey system. The architecture for the survey system is based on three-tiers comprised of a Web server, Web application server, and database server. The Web application server hosts the application modules that display and process the surveys. The application software consists of packages for establishing connections to the database and for reading static and dynamic data from the database. The processed surveys are written to the database with the survey responses. This system allows for anonymous survey responses and maintains user confidentiality. At the University of Wisconsin-Parkside, we have implemented this Web-based survey system, and used it to conduct three different surveys. This survey system is easily extensible to new surveys, and is used for instructional purposes to teach server-side programming. In this chapter, we discuss the key ideas behind the design and implementation of the extensible survey system, and provide results on its application.


2011 ◽  
Vol 41 (3) ◽  
pp. 247-254 ◽  
Author(s):  
Youngseok Cho ◽  
Jaehyun Park ◽  
Sung H. Han ◽  
Sungjin Kang
Keyword(s):  

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Craig Savel ◽  
Stan Mierzwa ◽  
Pamina M Gorbach ◽  
Samir Souidi ◽  
Michelle Lally ◽  
...  

This paper reports on a specific Web-based self-report data collection system that was developed for a public health research study in the United States. Our focus is on technical outcome results and lessons learned that may be useful to other projects requiring such a solution. The system was accessible from any device that had a browser that can support HTML5. Report findings include: which hardware devices, Web browsers, and operating systems were used, the rate of survey completion, and key considerations for employing Web-based surveys in a clinical trial setting. 


2018 ◽  
Vol 6 (6) ◽  
pp. e142 ◽  
Author(s):  
Kuo-Yao Hsu ◽  
Yun-Fang Tsai ◽  
Chu-Ching Huang ◽  
Wen-Ling Yeh ◽  
Kai-Ping Chang ◽  
...  

2011 ◽  
Vol 3 (3) ◽  
pp. 412-413 ◽  
Author(s):  
Ramez Ethnasios ◽  
Michael Rotblatt ◽  
Soma Wali

Abstract Background The Accreditation Council for Graduate Medical Education requires annual surveys of residency programs. Intervention We switched from a paper-based to a web-based survey and report on the efficiency and quality improvement gains from this change. To determine the prevalence of web-based surveys, we conducted a web-based and telephone survey of 17 internal medicine residency training programs in Southern California. Fifteen programs provided data (88% response rate). Results By making the switch, our internal medicine residency program was able to save over 50 administrative hours and over 1000 pieces of paper. A total investment of $20 for the Surveymonkey.com account (Palo Alto, CA) and approximately 15 hours to migrate the survey was made. The program administrators were able to more rapidly analyze and respond to the feedback from the residents with this system. Our survey of other programs showed that of 15 programs, 12 used a web-based survey system (80%) and 3 used a paper-based system (20%). Surveymonkey.com was the most popular system used. Conclusions We feel that the quality of response to resident feedback was enhanced by the real-time reaction to comments and assessments. Residents also appreciated the benefits of such a change. We recommend this approach to other programs that are still using paper-based surveys.


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