• Title/Summary/Keyword: Software Company Reporting System

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An Improvement of Software Company Reporting System of Korea through Empirical Survey (SW사업자 신고제도 실태조사를 통한 신고제도 절차 및 활용 개선방안의 도출)

  • Lim, Gyoo-Gun;Kim, Joong-Han;Kim, Hyun-Soo;Yang, Kyung-Sik
    • Journal of Information Technology Services
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    • v.5 no.3
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    • pp.83-97
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    • 2006
  • The current software company report system in Korea has many problems in its efficiency and effectiveness. In this paper, we investigated the system by surveying the contracting officials and contractors in software development. By analyzing current status and some problems with the survey results, we derived an feasible improvement scheme for the software company report system. We suggested efficient procedures and reporting items for the registration process, some benefits for contractors, and the short-term direction for its implementation.

Design and Implementation of Marketing and Sales Information System for Automotive Part Company Using Object-Oriented Methodology (객체지향 방법론을 이용한 자동차부품기업의 영업관리시스템 설계 및 구현)

  • Kang Sung-bae;Moon Tae-Soo
    • The Journal of Information Systems
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    • v.13 no.1
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    • pp.77-95
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    • 2004
  • According to the increase of organizational complexity and the change of rapid information technology environment, many firms have shifted their information technology(IT) strategy from developing information systems in-house to purchasing application software such as Enterprise Resource Planning(ERP) Systems. Marketing and Sales functions within a Korean automotive part company include developing new assembly products, determining pricing, taking customer's orders, and shipping assembly products to customers. Marketing and Sales Information System(MSIS) in ERP system plays an important role in next Production Planning process. MSIS also makes management reporting and decision making faster and more uniform throughout an organization. MSIS promotes thinking about corporate goals, as opposed to thinking only about the goals of a single department or functional area. This paper intends to design and implement a MSIS in ERP systems for Korean automotive part company using object-oriented methodology In order to accomplish the implementation of MSIS in ERP system, we employed UML as its standard modeling language. In this study, four diagramming techniques such as use case diagram, sequence diagram, class diagram, component diagram among eight modeling techniques are used for analyzing hierarchical business process. In traditional marketing and sales function, a company with an unintegrated information system can have marketing and sales data that is data redundant or inaccurate. MSIS integrated in ERP system can solve the sales forecast problem, which minimizes the total costs of production, inventory, and transportation under constraints of production capacity. Also, the use of UML methodology makes S/W programmers shorten the phase of analysis and design in the implementation of MSIS system, and increase the reuse of software and the interoperability with corporate internal Information system.

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Real-Time Ransomware Infection Detection System Based on Social Big Data Mining (소셜 빅데이터 마이닝 기반 실시간 랜섬웨어 전파 감지 시스템)

  • Kim, Mihui;Yun, Junhyeok
    • KIPS Transactions on Computer and Communication Systems
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    • v.7 no.10
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    • pp.251-258
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    • 2018
  • Ransomware, a malicious software that requires a ransom by encrypting a file, is becoming more threatening with its rapid propagation and intelligence. Rapid detection and risk analysis are required, but real-time analysis and reporting are lacking. In this paper, we propose a ransomware infection detection system using social big data mining technology to enable real-time analysis. The system analyzes the twitter stream in real time and crawls tweets with keywords related to ransomware. It also extracts keywords related to ransomware by crawling the news server through the news feed parser and extracts news or statistical data on the servers of the security company or search engine. The collected data is analyzed by data mining algorithms. By comparing the number of related tweets, google trends (statistical information), and articles related wannacry and locky ransomware infection spreading in 2017, we show that our system has the possibility of ransomware infection detection using tweets. Moreover, the performance of proposed system is shown through entropy and chi-square analysis.