Model-transformation-based Software Generation utilizing Natural Language Notations

被引：0
|
作者：
Eder, Raimund [1 ]
Filieri, Antonella [2 ]
Kurz, Thomas [1 ]
Heistracher, Thomas J. [1 ]
Pezzuto, Miriam [2 ]
机构：
[1] Salzburg Univ Appl Sci, ITS Dept, Salzburg, Austria
[2] Open Koalition, Cassino, Italy
来源：
2008 2ND IEEE INTERNATIONAL CONFERENCE ON DIGITAL ECOSYSTEMS AND TECHNOLOGIES | 2008年
关键词：
digital ecosystems; model transformation; natural language processing; semantic notation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Adaptive software generation based on natural language notations is a key challenge in software industries. In the present work, the ability of stakeholders to formulate requirements that can directly be used in software production and software generation bases on a natural-language-based formal notation called Semantics for Business Vocabularies and Business Rules (SBVR), a recent OMG standard. SBVR-based model-to-model transformations are utilized to generate prototypical user interfacing code to demonstrate that non-IT business stakeholders can create framework-based software out of the box.
引用
收藏
页码：126 / +
页数：2
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