Relationship between data engineering and software engineering

S. Yau
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引用次数: 1

Abstract

Data engineering and software engineering have a very close relationship. Our ability in developing and maintaining large-scale software mainly depends on our ability to understand, analyze, use and update the enormous amount of data associated with various phases of the life cycle of the large-scale software system under consideration. Although many tools to provide useful assistance in developing and maintaining software are available, they are often not effective for large-scale software due to the complexity in dealing with the very large amount of data. One way to overcome this difficulty is to develop a knowledge-based software environment so that artificial intelligence techniques can be applied to large-scale software development and maintenance. On the other hand, the effectiveness and quality of data engineering depend upon the performance of the software engineering approaches and tools used in data engineering. In this panel session, the panelists will discuss various aspects of this subject and exchange their ideas and experiences in this area. Ample time will be available for discussion from the floor.
数据工程与软件工程的关系
数据工程和软件工程有着非常密切的关系。我们开发和维护大型软件的能力主要取决于我们理解、分析、使用和更新与所考虑的大型软件系统生命周期各个阶段相关的大量数据的能力。尽管有许多工具可以为开发和维护软件提供有用的帮助,但由于处理大量数据的复杂性,它们通常对大型软件无效。克服这一困难的一种方法是开发基于知识的软件环境,以便将人工智能技术应用于大规模的软件开发和维护。另一方面,数据工程的有效性和质量取决于数据工程中使用的软件工程方法和工具的性能。在这个专题讨论环节中,与会嘉宾将讨论这一主题的各个方面,并交流他们在这一领域的想法和经验。将有充足的时间供与会者讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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