Recommending software upgrades with Mojave.

Journal of Systems and Software(2014)

引用 5|浏览81
暂无评分
摘要
•We characterize 96 bug reports spanning 5 versions of OpenSSH. The results show that 41% of the bugs were due to upgrades. In addition, we find that the majority of the bugs are caused by both the user's environment and input.•We propose Mojave, the first recommendation system for software upgrades. Mojave leverages data from the existing and new users, machine learning, and static and dynamic source analyses to recommend for or against an upgrade to new users.•We evaluate Mojave for 5 upgrade problems with 3 widely used applications. Across all our experiments, Mojave accurately predicts the upgrade failure for 93–100% of the users.
更多
查看译文
关键词
Software upgrades,Manageability,Recommendation systems,Static analysis,Dynamic analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要