• Title/Summary/Keyword: Small Software

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Payment Settlement Framework for Exporting Real-Time Online Financial Solution (실시간 온라인 금융솔루션 수출을 위한 지급결제프레임워크)

  • Bae, Huynki;Ahn, Yunji;Park, Kwangho
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.4
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    • pp.55-66
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    • 2017
  • Korean small and medium sized software companies have tried to export their solutions or services to overseas markets. In 2016, exports of the software industry increased by 6.0% from the previous year, and the value added of the industry was 2.2 times higher than that of the manufacturing industry. From a long-term perspective, it is important to secure a global competitive advantage in order to sustain the export high value-added of the software industry. The obstacles to entry into the overseas market of small to medium enterprises are as follows: first, difficulty in product development and localization of marketing; second, lack of investment for overseas expansion; and finally, competitiveness of software technology. In particular, To overcome such obstacles, Korean small and medium sized software companies should increase the technical perfection and secure software export competitiveness. The paper presents a payment settlement framework enabling adaptive reuse and semiautomatic development of global payment settlement services. The quantitative and qualitative evaluation results are presented with domestic and overseas case studies as follows: Firstly, semi-automatic development is realized successfully by applying the framework. Secondly, it is possible to maintain consistent quality of software and to deliver maintenance services without relying on the internal human resources. Thirdly, it is possible to reduce the project duration of the same development cope to less than 50% by applying the framework. Finally, because it is based on BPMN 2.0, which is a high level design diagram, it is expected that it will be easy to implement through components connection and reduce difficulties in technology transfer and localization. Also, at the time of runtime operation, it will be effective to understand the design idea easily and to carry out additional developments without human resource who participated in the initial project.

Best Practice on Software Traceability Environment based on PaaS Cloud Service

  • Jang, Woo Sung;Kim, Janghwan;Kim, R. Young Chul
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.149-155
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    • 2020
  • In the software industry of Korean Small and Medium-sized Enterprise(SME)s, the development process is often not mature. This may lead to failures in quality control and output management. As a result, the quality of the software can be degraded. To solve the problem, the software visualization technique, which is from the National IT Industry Promotion Agency Software Engineering Center can be applied. We have experienced with mentoring not only the visualization of software development process, but also various visualization process of SMEs. However, the existing software visualization method was difficult to install environment and its time cost was high. This paper proposes a software visualization environment through a cloud service along with a case of building a software visualization environment. We expect that this method will make it easier to build a visualization environment and improve the quality of SME software.

Determinants of Software-as-a-Service Adoption Intention Among Small and Medium-sized Korean Firms (중소기업의 Software-as-a-Service 도입의도 결정요인 연구)

  • Kim, Sung-Hyun;Jang, Si-Young
    • Korean Management Science Review
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    • v.30 no.2
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    • pp.11-30
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    • 2013
  • Small and medium-sized enterprises (SMEs) constitute an important part of current industrial economies. Information technologies can be useful strategic weapons for SMEs by enhancing their competitiveness. Categorized as one kind of cloud computing, SaaS is a computing resource and software sharing model which can be accessed via the Internet. Based on virtualization technology, SaaS is expected to improve the efficiency and quality of the IT service level in SMEs. This study attempts to identify the determinants of SaaS adoption intention among Korean SMEs. Through the lens of the theory of planned behavior, this study adopts technological, organizational, environmental factors to explore the determinants of cloud computing adoption intention. The research population is the SMEs that have been funded by the Korean government. Partial least square method was used for empirical analysis of 190 samples collected through on-line survey. The results show that the positive attitude is influenced by business process improvements. Vender support and top management support are positively associated with subjective norm. Vendor support, top management support can relieve perceived behavior control factors. Government support directly influences adoption intention of cloud computing. These findings can provide useful strategy for both SMEs and vendors of SaaS.

Cache Replacement Policies Considering Small-Writes and Reference Counts for Software RAID Systems (소프트웨어 RAID 파일 시스템에 작은 쓰기와 참조 횟수를 고려한 캐쉬 교체 정책)

  • Kim, Jong-Hoon;Noh, Sam-Hyuk;Won, Yoo-Hun
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.11
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    • pp.2849-2860
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    • 1997
  • In this paper, we present efficient cache replacement policies for the software RAID file system. The performance of this policies is compared to two other policies previously proposed for conventional file systems and adapted for the software RAID file system. As in hardware RAID systems, we found small-writes to be the performance bottleneck in software RAID file systems. To tackle this small-write problem, we propose cache replacement policies. Using trace driven simulations we show that the proposed policies improve performance in the aspect of the average response time and the average system busy time.

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Early Software Quality Prediction Using Support Vector Machine (Support Vector Machine을 이용한 초기 소프트웨어 품질 예측)

  • Hong, Euy-Seok
    • Journal of Information Technology Services
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    • v.10 no.2
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    • pp.235-245
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    • 2011
  • Early criticality prediction models that determine whether a design entity is fault-prone or not are becoming more and more important as software development projects are getting larger. Effective predictions can reduce the system development cost and improve software quality by identifying trouble-spots at early phases and proper allocation of effort and resources. Many prediction models have been proposed using statistical and machine learning methods. This paper builds a prediction model using Support Vector Machine(SVM) which is one of the most popular modern classification methods and compares its prediction performance with a well-known prediction model, BackPropagation neural network Model(BPM). SVM is known to generalize well even in high dimensional spaces under small training data conditions. In prediction performance evaluation experiments, dimensionality reduction techniques for data set are not used because the dimension of input data is too small. Experimental results show that the prediction performance of SVM model is slightly better than that of BPM and polynomial kernel function achieves better performance than other SVM kernel functions.

Strategy of the Short-term R & D Innovation for the Small and Medium IT Enterprise (IT 중소기업의 기술개발 상용화 전략)

  • Song Hag-Hyun;Kim Yoon-Ho
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.2 no.4
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    • pp.64-70
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    • 2003
  • Hardware, software, networking to Digital Contents. Most of the Small and medium IT Enterprise strategy shift of R & D system. In 2001, IT Small and medium size manufacture occupied 3.8% of Gross Domestic Product. IT industry R&D Program and Excellent Information Technology R&D Program support rate $54{\sim}60%$ of computer, software and contents for Information Technology R&D, when the Technology of R&D input to market need to development for about 3 years. Most of the Small and medium IT Enterprise strategy priority find out from computer, software and contents.

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SSR (Simple Sector Remapper) the fault tolerant FTL algorithm for NAND flash memory

  • Lee, Gui-Young;Kim, Bumsoo;Kim, Shin-han;Byungsoo Jung
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.932-935
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    • 2002
  • In this paper, we introduce new FTL(Flash Translation Layer) driver algorithm that tolerate the power off errors. FTL driver is the software that provide the block device interface to the upper layer software such as file systems or application programs that using the flash memory as a block device interfaced storage. Usually, the flash memory is used as the storage devices of the mobile system due to its low power consumption and small form factor. In mobile system, the state of the power supplement is not stable, because it using the small sized battery that has limited capacity. So, a sudden power off failure can be occurred when we read or write the data on the flash memory. During the write operation, power off failure may introduce the incomplete write operation. Incomplete write operation denotes the inconsistency of the data in flash memory. To provide the stable storage facility with flash memory in mobile system, FTL should provide the fault tolerance against the power off failure. SSR (Simple Sector Remapper) is a fault tolerant FTL driver that provides block device interface and also provides tolerance against power off errors.

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SDN-Based Hierarchical Agglomerative Clustering Algorithm for Interference Mitigation in Ultra-Dense Small Cell Networks

  • Yang, Guang;Cao, Yewen;Esmailpour, Amir;Wang, Deqiang
    • ETRI Journal
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    • v.40 no.2
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    • pp.227-236
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    • 2018
  • Ultra-dense small cell networks (UD-SCNs) have been identified as a promising scheme for next-generation wireless networks capable of meeting the ever-increasing demand for higher transmission rates and better quality of service. However, UD-SCNs will inevitably suffer from severe interference among the small cell base stations, which will lower their spectral efficiency. In this paper, we propose a software-defined networking (SDN)-based hierarchical agglomerative clustering (SDN-HAC) framework, which leverages SDN to centrally control all sub-channels in the network, and decides on cluster merging using a similarity criterion based on a suitability function. We evaluate the proposed algorithm through simulation. The obtained results show that the proposed algorithm performs well and improves system payoff by 18.19% and 436.34% when compared with the traditional network architecture algorithms and non-cooperative scenarios, respectively.

In Small and Medium Business the Government 3.0-based Big Data Utilization Policy (중소기업에서 정부 3.0기반의 빅 데이터 활용정책)

  • Cho, Young-Bok;Woo, Seng-hee;Lee, Sang-Ho
    • Journal of Convergence Society for SMB
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    • v.3 no.1
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    • pp.15-22
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    • 2013
  • Recently, in Korea lacks the innovation for small and medium enterprises the proportion of enterprises' capabilities are poor. In addition, sales of small business and medium scale venture are vulnerable because it is difficult to expect developments in the situation. thus the government 3.0 based small business and medium scale venture will present ways to take advantage of big data. Government 3.0 based big data infrastructure, small businesses and small and medium-sized ventures to build their autonomy is required so that you can take advantage of the platform advantage.

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Improving the Application Type and Quality/Characteristics Adjustment Factors of the Korea Software Cost Estimation Standard (소프트웨어 개발비 기준의 애플리케이션 유형과 품질 및 특성 보정요소 개선)

  • Park, Chan-Kyoo;Kim, Woo-Je;Seo, Yong-Won
    • Journal of Information Technology Services
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    • v.8 no.2
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    • pp.43-70
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    • 2009
  • As software development and maintenance cost increase quickly, information systems managers are more concerned about how to effectively manage software cost. To estimate the software development cost, most public institutes of Korea use the software cost estimation standard established by the government. Unfortunately, the accuracy of the estimation derived from the standard has not been satisfactory in spite of repetitive modifications made to improve it. One of the major reasons for the inaccuracy is that the standard has too small a number of cost adjustment factors to reflect the various characteristics of a software development project. To remedy this problem, we propose new cost adjustment factors which can be incorporated into the standard and are important to enhance the estimation accuracy, based on the analysis of several well-known software estimation models. Furthermore, by applying the proposed model to real world software projects, we show that the proposed model can produce more accurate estimates than the current standard.