L. Meurice, M. Goeminne, T. Mens, Csaba Nagy, Alexandre Decan, Anthony Cleve
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引用次数: 0
Abstract
This chapter presents the research advancements in the field of data‐intensive software system evolution, 5 years after the publication of the
IEEE Computer
column presenting the challenges in this field (A. Cleve, T. Mens, and J.‐L. Hainaut (2010) Data‐intensive system evolution.
Computer
,
43
(8), 110–112). We present the state of the art in this research domain, and report on the evolution of open‐source Java projects relying on relational database technologies. We empirically analyze how the usage of Java database technologies evolve over time. We report on a coarse‐grained source‐code analysis carried out over several thousands of Java projects, and complement this with a fine‐grained longitudinal analysis of the coevolution between database schema changes and source code changes within three large Java projects. The presented results are the first steps toward a recommendation system supporting developers in writing database‐centered code.
本章介绍了数据密集型软件系统发展领域的研究进展，在IEEE计算机专栏发表5年后，该专栏提出了该领域的挑战(A. Cleve, T. Mens, and j - L。Hainaut(2010)数据密集型系统演化。计算机，43(8)，110-112。我们介绍了这一研究领域的最新进展，并报告了依赖于关系数据库技术的开源Java项目的发展。我们从经验上分析了Java数据库技术的使用是如何随时间演变的。我们报告了对数千个Java项目进行的粗粒度源代码分析，并对三个大型Java项目中数据库模式更改和源代码更改之间的共同演变进行了细粒度纵向分析。提出的结果是迈向推荐系统的第一步，该系统支持开发人员编写以数据库为中心的代码。
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