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Goal: To develop a systematic methodology for decision support in the analysis of the market (for example, the IT market). The analysis of the market of information and communication technologies of the Russian Federation and the adoption of an effective management decision on the choice of IT companies for possible investment. Based on the research conducted, it is possible to make an effective management...
The actual driving data of Dalian city is collected by GPS devices and divided into kinematics sequences. After characteristic parameters of the kinematics sequences are calculated, this paper makes component analysis and cluster analysis to extract the representative driving data. The driving cycle of Dalian is constructed based on the analysis result of the representative driving data. The driving...
On line video is a powerful tool for e-learning and this is evident from a number of reports, research papers and university initiatives, which portray that online video is becoming an important medium for delivering educational content. Therefore, research that focuses on how students view educational videos becomes of particular interest and in previous work we argued that in order to efficiently...
Spectrum-based fault localization techniques leverage coverage information to identify the faulty elements of the program via passed and failed runs. However, the effectiveness of these techniques can be affected adversely by coincidental correctness, which occurs when faulty elements are executed, but the program produces the correct output. This paper proposes a clustering-based strategy to improve...
This article presents a method for detecting changes in behavior of data. It is based on cluster analysis, which is a common name for methods that group data in segments called clusters, based on similarities and differences of data itself, without supervision of human observer. The data analyzed by clustering techniques are commonly met in process industry: locally constant process values with a...
Researchers have applied cluster analysis onto execution profiles induced by test cases in order to solve problems in the area of software testing and analysis. The employed clustering techniques varied, and no study was conducted to rate these techniques in terms of their effectiveness in this specific domain. This work aims at doing so experimentally. Specifically, given test sets comprising passing...
Researchers in the dynamic program analysis field have extensively used cluster analysis to address various problems. Typically, the clustering techniques are applied onto execution profiles having high dimensionality (i.e., involving a large number of profiling elements), sometimes in the order of thousands or even hundreds of thousands. Our concern is that the high number of profiling elements might...
In order to improve efficiency of debugging, many fault localization techniques have been proposed to find out the program entities that are likely to contain faults. However, recent researches indicate that the effectiveness of fault localization techniques suffers from occurrences of coincidental correctness, which means execution result of test cases that exercise faulty statements indicate no...
The development of a software product in an organization involves various groups of stakeholders who may prioritize the qualities of the product differently. This paper presents an empirical study of 65 individuals in different roles and in different locations, including on shoring, outsourcing and off shoring, prioritizing 24 software quality aspects. Hierarchical cluster analysis is applied to the...
As the gradually deepened of China's economic and social development, the level of China's urban public infrastructure has been significantly increased. This article discusses the unbalanced nature of the development of urban infrastructure among the various provinces of China, based on the analysis of the current status of China's urban infrastructure development, using cluster analysis methods....
In order to improve the efficiency of regression testing, many test selection techniques have been proposed to extract a small subset from a huge test suite, which can approximate the fault detection capability of the original test suite for the modified code. This paper presents a new regression test selection technique by clustering the execution profiles of modification-traversing test cases. Cluster...
In this study, random amplified polymorphic DNA (RAPD) analysis was used to estimate the genetic diversity among six Oratosquilla oratoria populations: Dalian (DL), Wafangdian (WF), Zhuanghe (ZH), Donggang (DG), Suizhong (SZ) in Liaoning province and Qingdao (QD) in Shandong province. 18 random primers for RAPD analyzing generated 256 bands, out of which 209 were polymorphic loci. The number of bands...
LIFT (Legacy Information retrieval Tool) is a tool for reverse engineering and understanding of legacy systems, in particular NATURAL/ADABAS systems. Its provides several capabilities, such as call graphs, identification and visual representation of application tiers, the presentation of flows from screen to database entities, cluster analysis and documentation generation, among others. In this paper,...
Co-word analysis is a typical kind of content analysis, and also it is an important content mining method. It has been widely used in medicine, chemistry, artificial intelligence, software engineering, information science and information system. By the use of SPSS software, this paper analyzes co-word of the articles on UML issued in the periodicals from year 2001 to 2008 collected by CNKI database...
Regression testing is a significant activity which occurs during the maintenance level of a software lifecycle. However, it requires a large amount of test cases to test new or modified parts of the software. To address the issue, test suite reduction techniques have been presented. An appropriate technique should generate a minimized test suite which exercises different execution paths within a program...
Fault tolerance in the form of diverse redundancy is well known to improve the detection rates for both malicious and non-malicious failures. What is of interest to designers of security protection systems are the actual gains in detection rates that they may give. In this paper we provide exploratory analysis of the potential gains in detection capability from using diverse AntiVirus products for...
Information and communication technologies have revolutionized the world by facilitating remote learning and education, far distanced social connection, online employment opportunities and marketing products and services online. These and many more benefits leveraged the investment opportunities in ICT industry. This paper is based on results of a questionnaire based survey conducted in Pakistan which...
Comprehensive evaluation on health care system of ten countries is discussed in this paper. In order to comprehensively assess and evaluate the health care system in an objective manner, five first-tier indicators and nineteen second-tier indicators are set up as evaluation criteria in the first place. Then entropy modeling and Matlab software are applied to compute the values for first-tier indicators...
This paper describes a study of the impact of communication behaviors on the performance of global software teams. Using a content analysis technique developed by Curtis and Lawson (2001), the researchers first characterized the asynchronous communications among student teams in Panama, Turkey and the US as they worked to complete a global software development project. Cluster analysis was then used...
The problem of classification of terrestrial landscapes and aquatories basing on the remote measurements is one of important among them. Various algorithms of the theory of images recognition, statistical decisions and cluster analysis are used to solve this problem. The problem of recognition consists in the divide of some group of objects by classes with the certain requirements. The objects having...
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