| Title |
Experimental development based on mapping rule between requirements analysis model and web framework specific design model
|
|---|---|
| Published in |
SpringerPlus, March 2013
|
| DOI | 10.1186/2193-1801-2-123 |
| Pubmed ID | |
| Authors |
Hirotaka Okuda, Shinpei Ogata, Saeko Matsuura |
| Abstract |
Model Driven Development is a promising approach to develop high quality software systems. We have proposed a method of model-driven requirements analysis using Unified Modeling Language (UML). The main feature of our method is to automatically generate a Web user interface prototype from UML requirements analysis model so that we can confirm validity of input/output data for each page and page transition on the system by directly operating the prototype. We proposes a mapping rule in which design information independent of each web application framework implementation is defined based on the requirements analysis model, so as to improve the traceability to the final product from the valid requirements analysis model. This paper discusses the result of applying our method to the development of a Group Work Support System that is currently running in our department. |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 8% |
| Unknown | 12 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 46% |
| Professor > Associate Professor | 2 | 15% |
| Professor | 1 | 8% |
| Lecturer | 1 | 8% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 54% |
| Arts and Humanities | 2 | 15% |
| Nursing and Health Professions | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 2 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 March 2013.
All research outputs
#20,185,720
of 22,701,287 outputs
Outputs from SpringerPlus
#1,461
of 1,852 outputs
Outputs of similar age
#172,773
of 197,559 outputs
Outputs of similar age from SpringerPlus
#68
of 135 outputs
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