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Developers often look information in the web during software development and maintenance. That means they spend time to formulate query, retrieve documents and process the results from many sources of information. Stack Overflow, one of the most popular question and answer sites and the most important information sources for developers, has become one of the most important information sources for developers. In this paper, we proposed a new approach that use LDA model and Q&A meta-information to automatically generate query from code context and recommend the retrieval Q&A to developers. We implemented the approach in Recommendflow, an Eclipse plugin. We considered one existing recommendation model as baseline and conducted an experiment to compare our approach with baseline. Our experiment on the test data set shows that LDA-based model outperforms existing Stack Overflow recommendation model.

Plasma antenna is a sort of ionized gaseous antenna, which can be reconfigurable by altering the input RF power. This article introduces the reconfigurable plasma antenna and antenna array prototype of the NSSC. Through HFSS simulation, we studied the frequency reconfigurable, EMC and antenna array performance of plasma antenna. According to this study, plasma antenna has very wide bandwidth, its insulating medium gas cavity has very low EMI/RCS, and it is very suitable to be used in antenna array, low RCS antenna and ultra-wide/frequency hopping communication.

Plasma column antenna is a new technology for UHF/VHF communication. Except for theoretical research, creating a prototype with considerable performance as metal antenna is really very difficult. The plasma antenna research team of National Space Science Center has created some techniques to make a practical plasma antenna prototype, it can reach the same antenna gain and radiation pattern as a common metal antenna with relatively small size and power consuming. This paper presents our experience and problem solutions on plasma antenna research and manufacture.

Mashups represent a typical type of service oriented applications targeting end-user development. However, due to lack of development expertise, end-users usually find it hard to build a mashup. Therefore, it is of paramount importance to provide effective assistance to achieve efficient mashup development. In this work, we aim at leveraging the expertise that can be mined from voluminous mashups on Internet to recommend appropriate mashup modules and their composition patterns to facilitate pipe-like mashup development. First, we crawl all the mashups available in Yahoo!Pipes and extract the meta-data of each mashup from original JSON data. Second, we use GSP (Generalized Sequential Pattern) algorithm to mine the frequent composition pattern of mashup modules, and design an interactive recommendation algorithm to assist mashup development. Third, we implement a system prototype based on the proposed method and evaluate its effectiveness with 848 Yahoo! mashups through cross-validation.

Software production line and web services are two new hot topics in the field of software engineering and distributed computing .How to integrate the two aspects and to put the combinational services software into distributed, reusable, high efficiency, large-scale production, is a new and exciting challenges. This paper presents a Service-Oriented Software Production Line Integration Framework Based on Model-Driven (MDSOPL) and describes its architecture, supported environment ,the relationship between various modules ,the method of tool integration ,the data’s interactive mode, the algorithm of distributed dispatch. Furthermore, it take the currently popular Business Process Modeling Notation(BPMN) as the production process configuratied model and use the method of Model-Driven to make the BPMN in the dispatch of central engine to be directly executed. At the same time, this paper basing on above platform states how to create and run the production line. Furthermore, it takes a service composition software in the field of gene calculation for a example to realize a product integration framework basing on Model-Driven.