Cognifying Model-Driven Software Engineering

被引:30
作者
Cabot, Jordi [1 ,2 ]
Clariso, Robert [2 ]
Brambilla, Marco [3 ]
Gerard, Sebastien [4 ]
机构
[1] ICREA, Barcelona, Spain
[2] Univ Oberta Catalunya, Barcelona, Spain
[3] Politecn Milan, Milan, Italy
[4] CEA List, Palaiseau, France
来源
SOFTWARE TECHNOLOGIES: APPLICATIONS AND FOUNDATIONS, STAF 2017 | 2018年 / 10748卷
关键词
Model; Machine learning; Bot; Model-driven; AI; MACHINE; SELECTION;
D O I
10.1007/978-3-319-74730-9_13
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The limited adoption of Model-Driven Software Engineering (MDSE) is due to a variety of social and technical factors, which can be summarized in one: its (real or perceived) benefits do not outweigh its costs. In this vision paper we argue that the cognification of MDSE has the potential to reverse this situation. Cognification is the application of knowledge (inferred from large volumes of information, artificial intelligence or collective intelligence) to boost the performance and impact of a process. We discuss the opportunities and challenges of cognifying MDSE tasks and we describe some potential scenarios where cognification can bring quantifiable and perceivable advantages. And conversely, we also discuss how MDSE techniques themselves can help in the improvement of AI, Machine learning, bot generation and other cognification techniques.
引用
收藏
页码:154 / 160
页数:7
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