• Title/Summary/Keyword: Productivity Metrics

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(Adaptive Component Metrics in Component Analysis Phase) (컴포넌트 분석단계에 적용 가능한 컴포넌트 메트릭스)

  • 고병선;박재년
    • Journal of KIISE:Software and Applications
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    • v.30 no.5_6
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    • pp.389-397
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    • 2003
  • The component-based development methodology becomes famous as the new way for reuse. The goal of the reuse is improvement of quality, productivity and independence on the software development. For the improvement in the quality of a component-based system, it is necessary to research component metrics in the early phase of a component development. Hence, in this paper, we propose new component metrics using the information of a component analysis phase. Those are CCI(Complexity of Component Interface) and LCC(Lack Cohesion of Component interface). CCI indicates a difficulty about comprehension, modification, management, use of interface. LCC indicates a functional independence about how strong the elements are related with. Therefore, it is possible to predict and manage the quality of a component to be developed. Predicting a lowness of complexity and highness of cohesion as an independent functional unit by a component interface in the early phase of a component development, we can expect the improvement in the quality of a system.

Control Variables of Remote Joint Analysis Realization on the M2M Case

  • Lim, Sung-Ryel;Choi, Bo-Yun;Lee, Hong-Chul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.1
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    • pp.98-115
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    • 2012
  • New trend called ubiquitous leads the recent business by standardization and integration. It should be the main issue how to guarantee the integration and accountability on each business, especially in mission critical system which is mainly supported by M2M (Machine to Machine) control mechanism. This study is from the analysis of digital forensics case study that is from the M2M Sensing Control Mechanism problem of the "Imjin River" case in 2009, where a group of family is swept away to death by water due to M2M control error. The ubiquitous surroundings bring the changes in the field of criminal investigation to real time controls such as M2M systems. The needs of digital forensics on M2M control are increasing on every crime scene but we suffer from the lack of control metrics to get this done efficiently. The court asks for more accurately analyzed results accounting high quality product development design. Investigators in the crime scene need real-time analysis against the crime caused by poor quality of mission critical systems. It seems to be every need of Real-Time-Enterprise, so called ubiquitous society on the case. We try to find the efficiency and productivity in discovering non-functional design defects in M2M convergence products focusing on three metrics in study model with quick implementation. Digital forensics system in present status depends on know-how of each investigator and is hard to expect professional analysis on every field. This study set up a hypothesis "Co-working of professional investigators on each field will qualify Performance and Integrity" especially in mission critical system such as M2M and suggests "Online co-work analysis model" to efficiently detect and prevent mission critical errors in advance. At the conclusion, this study proved the statistical research that was surveyed by digital forensics specialists around M2M crime scene cases with quick implementation of dash board.

The Nexus Between Intellectual Capital and Financial Performance: An Econometric Analysis from Pakistan

  • GUL, Raazia;AL-FARYAR, Mamdouh Abdulaziz Saleh;ELLAHI, Nazima
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.7
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    • pp.231-237
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    • 2022
  • Intellectual Capital, a valuable intangible organizational asset, is primarily linked to a company's financial performance and is divided into three categories: human, structural, and relational capital. This paper investigates the impact of intellectual capital on the financial performance of selected Pakistani companies in the Information and Communication sector, as this sector is heavily reliant on intellectual capital. The data for 11 firms was gathered from the State Bank's Financial Statements Analysis of Companies Listed on the Pakistan Stock Exchange from 2015 to 2020. Pulić's (2004) Value Added Intellectual Coefficient (VAICTM) has been used to assess a company's IC efficiency. VAICTM and its components, the efficiency of intellectual capital, and the efficiency of capital employed are calculated. Financial performance is measured through return on assets, return on capital employed, and asset turnover ratio. Multiple regression, fixed-effect, and random-effect Panel Data estimation are used in the empirical study. The findings suggest that intellectual capital efficiency has a large impact on major profitability metrics, but little effect on company productivity. It can be inferred from the results that the companies must invest in advanced technology, the latest machinery, and well-equipped offices to improve financial performance and productivity and gain a competitive advantage.

Classifying a Strength of Dependency between classes by using Software Metrics and Machine Learning in Object-Oriented System (기계학습과 품질 메트릭을 활용한 객체간 링크결합강도 분류에 관한 연구)

  • Jung, Sungkyun;Ahn, Jaegyoon;Yeu, Yunku;Park, Sanghyun
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.10
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    • pp.651-660
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    • 2013
  • Object oriented design brought up improvement of productivity and software quality by adopting some concepts such as inheritance and encapsulation. However, both the number of software's classes and object couplings are increasing as the software volume is becoming larger. The object coupling between classes is closely related with software complexity, and high complexity causes decreasing software quality. In order to solve the object coupling issue, IT-field researchers adopt a component based development and software quality metrics. The component based development requires explicit representation of dependencies between classes and the software quality metrics evaluates quality of software. As part of the research, we intend to gain a basic data that will be used on decomposing software. We focused on properties of the linkage between classes rather than previous studies evaluated and accumulated the qualities of individual classes. Our method exploits machine learning technique to analyze the properties of linkage and predict the strength of dependency between classes, as a new perspective on analyzing software property.

A Study on Establishing Performance Measurement and Evaluation System of ATM (ATM 성능측정 및 평가체계 구축 연구)

  • Seo, Youngsung;Park, Bomi;Kim, Jun-hyuk
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.26 no.1
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    • pp.37-43
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    • 2018
  • There has been the migration to a performance-based approach in many areas which include transition planning at global, regional and local levels, performance-based navigation and safety management. Achieving continuous success of Air Traffic Management (ATM) systems would require a performance-based approach to raise productivity and efficiency of it through performance measurements and reviews. This paper considers establishment planning of performance measurement and evaluation system for ATM. Related to key performance areas proposed by International Civil Aviation Organization, performance indicators and metrics which could be used to measure and evaluate ATM performance are presented. Also, organizational system and operational planning for efficient operation of ATM are presented.

A Study on Design, Implementation and Reusability Analysis of the X system using Ada Language (Ada 언어를 이용한 X시스템의 설계, 구현 및 재사용성 분석에 관한 연구)

  • Lee Gwang-Geon;Gang Seok-Gyun;Park Hyeong-Chun;Yun Chang-Seop
    • Journal of the military operations research society of Korea
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    • v.15 no.2
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    • pp.38-55
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    • 1989
  • Reusing software is a promising solution which overcomes the software crisis in the software development environment by improving the software productivity, reliability and maintainability. To develop software, some developers reuse existing softwares, but without an adequate design environment, software reuse would not be applicable. The purpose of this paper is to design and implement the X system, and measure empirically its resuability in the development phases. The development processes of the X system used a software reuse design guidelines within the Object-Oriented Design method and the Ada programming language. In order to measure the resuability, metrics was proposed and applied for each phase of development. The results of this paper address some reusability measurement that may be used as basic data when estimating the amount of reuse for a combined development project of military applications.

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A Study on the Quality Management Performance through the 6-sigma Program (프로세스 품질경영 성과개선을 위한 6시그마 프로그램에 관한 연구)

  • 김계수
    • Journal of Korean Society for Quality Management
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    • v.27 no.4
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    • pp.266-279
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    • 1999
  • Today, Companies are facing the harsh realities of a competitive environment. This is no time for revolutionary change. Instead, Companies are instituting revolutionary change meant to have impact within a very short time frame. Bold steps are required to lead the industry into a future of improved efficiency and significant productivity gains. GE, as well as Intel, Motorola, and other companies adopted a program called Six Sigma, in order to make fundamental changes in the way the company operated to fulfill customers'expectations. Six sigma reduces the occurrence of defects from a 3 sigma level of 66,800 defects per million to a 6 sigma level-less than 4defects per million. The goals and metrics of the company's Six Sigma process clearly have had a positive effect on customer satisfaction and customer perception of the company.

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Intelligent Test Plan Metrics on Adaptive Use Case Approach

  • Kim, R. Young Chul;Lee, Jaehyub
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.1
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    • pp.70-77
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    • 2002
  • This paper describes a design driven approach to drive intelligent test plan generation based on adaptive use case (3,5). Its foundation is an object-oriented software design approach which partitions design schema into design architecture of functional components called “design component”. A use case software development methodology of adaptive use case approach developed in I.I .T is employed which preserves this unit architecture on through to the actual code structure. Based on the partition design schema produced during the design phase of this methodology, a test plan is generated which includes a set of component and scenario based test. A software metric is introduced which produces an ordering of this set to enhance productivity and both promote and capitalize on test case reusability, This paper contains an application that illustrates the proposed approach.

Design and Implementation of the Reuse-Easiness Measurement System Using Fuzzy Logic

  • 이성주;최완규
    • Journal of the Korean Institute of Intelligent Systems
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    • v.6 no.4
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    • pp.17-26
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    • 1996
  • Software reuse is a method which increases the productivity of software, nevertheless software reuse is not employed well in real world. One of the important factors occured this proplem is insufficinet inforamtion in understanding and adapting the existing components. Understanding and adapting of components can be measured emplying user's experience and the attributes which the existing programs provide. Especially user's experience is very important attribute in understanding and adapting components, and it can't be measured by simple metrics. We propose in this paper, the reuse-easingess measurement system using fuzzy logic. This system can provide information regarding reusing components by reflecting user's experience from user's point of view, and can reduce the reuse effort signinificantly.

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A Predictive Model for Software Development Team Size and Duration Based on Function Point (기능점수 기반 소프트웨어 개발팀 규모와 개발기간 예측 모델)

  • Park, Seok-Gyu;Lee, Sang-Un
    • The KIPS Transactions:PartD
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    • v.10D no.7
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    • pp.1127-1136
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    • 2003
  • Estimation of software project cost, effort and duration in the early stage of software development cycle is a difficult and key problem in software engineering. Most of models estimate the development effort using the function point that is measured from the requirement specification. This paper presents optimal team size and duration prediction based on function point in order to provide information that can be used as a guide in selecting the most Practical and productive team size for a software development project. We introduce to productive metrics and cost for decision criteria of ideal team size and duration. The experimental is based on the analysis of 300 development and enhancement software project data. These data sets are divide in two subgroups. One is a development project; the other is a maintenance project. As a result of evaluation by productivity and cost measured criteria in two subgroups, we come to the conclusion that the most successful projects has small teams and minimum duration. Also, I proposed that predictive model for team sire and duration according to function point size based on experimental results. The presented models gives a criteria for necessary team site and duration according to the software size.