A framework for rapid software application evolution

点击翻译按钮获取中文摘要

The long-term goal of this research program is to leverage software analytics, deep learning and search based approaches for rapid software evolution. In a 2012 blog post by IBM titled “Why Big Companies Are Embracing Open Source,” the reduction of cost is cited as one of the most important factors that prompts companies to integrate open source code into their systems. Similarly, Black Duck conducted a survey that reinforced the rapid and increasing commercial adoption of open source software. In their 2016 survey “Future of Open Source,” 90% of the companies responded that they use open source code, and this number has more than doubled from Black Duck’s 2010 survey. However, software reuse and rapid evolution is still quite problematic. Indeed, in a recent study by Bauer et al. on reuse at Google, developers identified the following three main problems impairing software reuse: difficulty to adapt the component to developers’ needs, explosion of dependencies and license incompatibility. Developers also highlighted the ripple effects caused by changes in reused artifacts as problematic.