Protego: In-Memory Version Control System in the Cloud

F. Gioachin, Q. Liang, Yuxia Yao, Bu-Sung Lee
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引用次数: 2

Abstract

Version control systems are an indispensable part of the software engineering process. Without them, large software development projects would soon incur in loss of productivity and severe maintenance issues. The revision history is invaluable during reviewing process as well as bug hunting. With the advent of Web 2.0, many tasks have been migrated to a cloud environment, and among them is software development. This spikes the need for a fast, always-on version control system residing in the cloud. Moreover, the cloud computational power can be leveraged to provide a higher degree of automation. In this paper, we describe Protego, a cloud-based version control system targeting flexibility and automation. Flexibility in the way projects and histories are recorded and updated, automation in the way users interact with the system, with a reduced need for everyday tedious operations.
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Protego:云中的内存版本控制系统
版本控制系统是软件工程过程中不可缺少的一部分。没有它们,大型软件开发项目将很快导致生产力损失和严重的维护问题。修订历史记录在审查过程和bug查找过程中是无价的。随着Web 2.0的出现,许多任务已经迁移到云环境,其中包括软件开发。这增加了对驻留在云中的快速、始终在线的版本控制系统的需求。此外,可以利用云计算能力来提供更高程度的自动化。在本文中,我们描述了Protego,一个基于云的版本控制系统,目标是灵活性和自动化。项目和历史记录和更新方式的灵活性,用户与系统交互方式的自动化,减少了对日常繁琐操作的需求。
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Protego: In-Memory Version Control System in the Cloud A Problem Oriented Approach to Modeling Feedback Loops for Self-Adaptive Software Systems Discovering Domain Concepts and Hyponymy Relations by Text Relevance Classifying Based Iterative Web Searching Importance Sampling of Runtime Interference Studying the Understandability of Aspect State Machines through the Weaving Activity
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