• The KIPS Transactions:PartD
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• v.10D no.4
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• pp.735-744
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• 2003

This paper presents details of the design and implementation of a report generator, Moonlight, which supports to design the report form from DB or data sources and print it to the printer. Also this paper defines the detailed model of the report system, the architecture and behavior of MoonLight, and the components of the report form, and also shows algorithms to make the report template and print the report bound to the data source. Moonlight takes advantage of XML language for the report template form. And also it is implemented by Jana language to take the advantage of platform independency. This paper also shows the results of run-time performance of Moonlight which is measured with the time to construct page objects of a report and the time to render the page objects to the print images, respectively.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.316-318
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• 2005

소프트웨어 개발 생산성물 높이고 신뢰성 있는 프로그램을 개발하기 위하여 수많은 테스트 기법 및 도구들이 연구되고 있다. 본 논문은 효율적인 소프트웨어의 단위 테스팅을 위해 XML 기반의 테스트 스크립트 언어를 설계하고 테스팅 도구를 제안한다. 제안하는 테스팅 도구는 테스트 대상 소스를 기반으로 테스트 스크립트를 생성해주는 테스트 스크립트 생성기와 테스트 스크립트를 대상 언어로 작성된 테스트 드라이버로 변환해 주는 테스트 드라이버 변환기를 제공함으로서 보다 간편한 테스트 환경을 제공한다. 테스트 스크립트를 XML 형태로 기술함으로서 개발자들은 새로운 스크립트 언어의 학습이 불필요하며 대상 언어에 독립적인 테스트 스크립트를 작성 할 수 있다. 또한 테스트 실행 후 테스트 평가 결과를 XML로 제공함으로서 다양한 형태의 리포트 뷰(View)를 가능하게 한다. 본 XML 기반의 테스트 스크립트 언어와 테스팅 도구는 프로그래밍 언어에 독립적인 부분과 종속적인 부분을 분리하여 여러 가지 프로그래밍 언어의 단위 테스트 환경을 하나로 통합 할 수 있게 해주어 관련 소프트웨어 테스팅 분야의 발전에 크게 기여할 것으로 기대된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.2
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• pp.382-389
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• 2018

Recently cyber attacks can cause serious damage on various information systems. Log data analysis would be able to resolve this problem. Security log analysis system allows to cope with security risk properly by collecting, storing, and analyzing log data information. In this paper, a security log analysis system is designed and implemented in order to analyze security log data using the Logstash in the Elasticsearch, a distributed search engine which enables to collect and process various types of log data. The Kibana, an open source data visualization plugin for Elasticsearch, is used to generate log statistics and search report, and visualize the results. The performance of Elasticsearch-based security log analysis system is compared to the existing log analysis system which uses the Flume log collector, Flume HDFS sink and HBase. The experimental results show that the proposed system tremendously reduces both database query processing time and log data analysis time compared to the existing Hadoop-based log analysis system.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.3
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• pp.154-166
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• 2009

Database query and reporting tools, OLAP tools and data mining tools are typical front-end tools in Business Intelligence environment which is able to support gathering, consolidating and analyzing data produced from business operation activities and provide access to the result to enterprise's users. Traditional reporting tools have an advantage of creating sophisticated dynamic reports including SQL query result sets, which look like documents produced by word processors, and publishing the reports to the Web environment, but data source for the tools is limited to RDBMS. On the other hand, OLAP tools and data mining tools have an advantage of providing powerful information analysis functions on each own way, but built-in visualization components for analysis results are limited to tables or some charts. Thus, this paper presents a system that integrates three typical front-end tools to complement one another for BI environment. Traditional reporting tools only have a query editor for generating SQL statements to bring data from RDBMS. However, the reporting tool presented by this paper can extract data also from OLAP and data mining servers, because editors for OLAP and data mining query requests are added into this tool. Traditional systems produce all documents in the server side. This structure enables reporting tools to avoid repetitive process to generate documents, when many clients intend to access the same dynamic document. But, because this system targets that a few users generate documents for data analysis, this tool generates documents at the client side. Therefore, the tool has a processing mechanism to deal with a number of data despite the limited memory capacity of the report viewer in the client side. Also, this reporting tool has data structure for integrating data from three kinds of data sources into one document. Finally, most of traditional front-end tools for BI are dependent on data source architecture from specific vendor. To overcome the problem, this system uses XMLA that is a protocol based on web service to access to data sources for OLAP and data mining services from various vendors.