In the software industry, generally software manufacturers develop the component and use it only once. As a result of which there is lot of wastage in effort, cost as well as time in developing software's. The solution to the above is to reuse the software components further in the development of other similar kind of products or the products having same functionality. So, a successful component storage...
Customer Edge Switching (CES) is an experimental Internet architecture that provides reliable and resilient multi-domain communications. It provides resilience against security threats because domains negotiate inbound and outbound policies before admitting new traffic. As CES and its signalling protocols are being prototyped, there is a need for independent testing of the CES architecture. Hence,...
-industrial collaboration with a software company. The collaboration is intended to suggest multiple code fragments to be changed simultaneously when a developer specifies a keyword such as variable names on source code. In the collaboration, we propose to use code clones and logical couplings information to reorder the code
The World Wide Web has immense resources for all kind of people for their specific needs. Searching on the Web using search engines such as Google, Bing, Ask have become an extremely common way of locating information. Searches are factorized by using either term or keyword sequentially or through short sentences. The
In this paper, we propose a structured peer-to-peer (P2P) search approach in distributed hash table (DHT) based decentralized systems using multiple keywords. Using multiple keywords allows users to describe file content more accurately and improves retrieval precision, which is important from the userpsilas
This paper presents a code-search method, which includes an algorithm of keyword code-search and a prototype implementation. In this paper, a query is a set of keywords and a search result is a set of execution paths fulfilling the query, that is, each of the execution paths includes all of the keywords. Here, an
The implemented system automatically capable of annotating images of a database based on samples. The system creates annotations to images with detection of the object belonging to the keyword. The set of keywords is predefined. After the user searching the first twelve relevant results will be showed. Due to the
and there is a need to develop a testing framework which is application independent and scalable with the increased requirements of each application. An automated testing framework has been proposed here for testing web applications. The proposed framework is based on keyword driven framework in which a excel file
In order to improve the reusability for the software testing automation procedures, at the same time support the program test for Linux, keyword-driven distributed test automation framework (LKDT) is proposed in this paper, which is based on the analyze of the recent automated testing frameworks and combined with the
To solve the problems of tedious key-press and poor interaction in current agricultural information voice service system, a method based on keywords recognition for agricultural information voice service system is proposed in this paper. It simplifies inquiry process and enhances interaction with customers by
copying ones' thought, idea, and represents it as own idea without giving proper acknowledgement to the original author. In research area, it is a serious crime and still now not so many systems have been developed to detect plagiarism. Our area of focus is on the keywords or index terms present in different research papers
The paper describes a modality of generating sequences of tests found on different levels of difficulty based on certain keywords given by the user. A battery of tests is represented by a normal tree and every test is codified by a node within a tree. In this matter, every node contains as information a list of
to automatically triage and detect the duplicate bug reports by keywords extraction and combine those existing relative reports to form a more integrated and complete bug report, and then assign the report to appropriate developer based on auction rules and developer's experiences. After having fixed the bug, the
During the last several years, the volume of user- generated content on the web has skyrocketed. Today, the major Internet players such as MySpace, Wordpress, and YouTube all provide a variety of Web 2.0 based applications that allow users to post photos, share video, and manage blogs with multimedia content. Keyword
needs. In this paper, we present the design, architecture and implementation of an open-source keyword-based paradigm for the search of software resources in Grid infrastructures, called Minersoft. A key goal of Minersoft is to annotate automatically all the software resources with keyword-rich metadata. Using advanced
The Holy Quran, due to its unique style and allegorical nature, needs special attention about searching and information retrieval issues. The legacy keyword searching techniques are incapable of retrieving semantically relevant verses. In this paper, we address the deficiencies of key word based searching and the
literature infrastructure was obtained using bibliometrics and literature of the co-keyword network was visualized. It show how co-word analysis techniques can be used to study R&D in enterprises. The results of the study can help support strategic decision-making on the direction of S&T programs in enterprises.
precision ratio and novelty ratio than that of web search engines. Based on case studies, we found that there are four main types of query suggestion within digital library environments, namely spelling suggestion, hot keyword suggestion, personalized suggestion and semantic suggestion. These approaches are, however, hardly to
Traditional Web search engines mostly adopt a keyword-based approach. When the keyword submitted by the user is ambiguous, search result usually consists of documents related to various meanings of the keyword, while the user is probably interested in only one of them. In this paper we attempt to provide a solution to
sense discovery problem. Given a query and a list of result pages, our unsupervised method detects word sense communities in the extracted keyword network. The documents are assigned to several refined word sense communities to form clusters. We use the modularity score of the discovered keyword community structure to
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.