IDE Interaction Support With Command Recommender Systems

Abstract

Software developers' knowledge of integrated development environment (IDE) directly impacts on their productivity. IDE command recommender systems aim at identifying and convincingly presenting to software developers functionality that can help them to accomplish their daily tasks, without overloading them with well known or useless information. Command recommendation requires the estimation of both the utility of commands and the acceptance of the user for new command recommendations. In this paper, we focus on how and when such recommendations should be presented. We performed a long-term user study and our results show that IDE command recommendation must be presented with adequate descriptions of the commands and good usage examples. It seems that a higher frequency of recommendation notifications could be useful, but it should not be too intrusive, especially while developers are focusing on more demanding tasks. To improve recommendation acceptance rate, researchers should also focus on context-aware algorithms and tailor command recommendation timing.

A Big Data Analysis Algorithm Designed for the Interactive Platform of the Intelligent Sensor Information System

“…Based on TinyOS to realize the network component interface design of embedded information exchange and sharing system, use MySQL to build a shared database; the network design of the platform is carried out under the B/ S structure system; use ADO.NET to complete the query and update of the database management of the platform, build the I/O interface of the database module (D/A, A/D, I/O port, etc. ), big data of medical file information from the client to server, implementation of embedded scheduling, and data bus development and design through the database MySQL [14,17]. Extract high-order statistical feature information of medical archives information in a distributed heterogeneous environment, analyze the distri-bution characteristics of medical file information in the cloud computing environment, mainly include the information characteristics of the associated knowledge base, the characteristics of computing resources, etc., input the collected medical file information into the middle layer for adaptive processing, realize the database development of the platform.…”