Towards a Software Engineering Process for Developing Data-Driven Applications

被引：20

作者：

Hesenius, Marc ^{[1
]}

Schwenzfeier, Nils ^{[1
]}

Meyer, Ole ^{[1
]}

Koop, Wilhelm ^{[1
]}

Gruhn, Volker ^{[1
]}

机构：

[1] Univ Duisburg Essen, Essen, Germany

来源：

2019 IEEE/ACM 7TH INTERNATIONAL WORKSHOP ON REALIZING ARTIFICIAL INTELLIGENCE SYNERGIES IN SOFTWARE ENGINEERING (RAISE 2019) | 2019年

关键词：

Machine Learning; Artificial Intelligence; Software Engineering; Development Process;

D O I：

10.1109/RAISE.2019.00014

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Machine Learning and Artificial Intelligence allow the development of a new type of applications that automatically identify hidden patterns, process large amounts of data, and classify data according to aforementioned patterns. While they offer interesting solutions for several problems, they also impose challenges on software engineers in charge of structuring the development effort. The new applications require to incorporate additional specialists and their work into an overall development effort. We thus propose a software engineering process for data-driven applications.

引用

页码：35 / 41

页数：7

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