• Title, Summary, Keyword: software selection

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A study on the selection method of the software developer using AHP (AHP를 이용한 소프트웨어 외주업체 선정방안에 관한 연구)

  • 김승렬;정희숙
    • Korean Management Science Review
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    • v.12 no.2
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    • pp.15-30
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    • 1995
  • The objectives of this paper are to provide software developer selection criteria and to develop evaluation framework using AHP (Analytic Hierarchy Process). The selection criteria are extracted from Software Development Life Cycle, Quality Assurance, and Productivitiy of Organization. In this paper, the selection model is proposed and its examples are illustrated. Though some further research is required, the proposed model can be regarded as a basis of a DSS for the selection of the software developer.

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MIS개발을 위한 체계적인 소프트웨어 평가 및 선정

  • Lee Gyu-Heon;Seo Nam-Su
    • Journal of the military operations research society of Korea
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    • v.11 no.1
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    • pp.47-54
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    • 1985
  • In this paper, for the systematic software evaluation and selection objective, we first discussed the systems software which is distinctly different from applications oriented software in source, concept and use. We suggested the systematic procedures for the effective software evaluation and selection by analyzing categories of commercially available proprietary software, sources of information for software selection, request for information, request for proposal, user surveys as an aid to evaluation and evaluation of responses to the RFP.

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TOUSE: A Fair User Selection Mechanism Based on Dynamic Time Warping for MU-MIMO Networks

  • Tang, Zhaoshu;Qin, Zhenquan;Zhu, Ming;Fang, Jian;Wang, Lei;Ma, Honglian
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.9
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    • pp.4398-4417
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    • 2017
  • Multi-user Multiple-Input and Multiple-Output (MU-MIMO) has potential for prominently enhancing the capacity of wireless network by simultaneously transmitting to multiple users. User selection is an unavoidable problem which bottlenecks the gain of MU-MIMO to a great extent. Major state-of-the-art works are focusing on improving network throughput by using Channel State Information (CSI), however, the overhead of CSI feedback becomes unacceptable when the number of users is large. Some work does well in balancing tradeoff between complexity and achievable throughput but is lack of consideration of fairness. Current works universally ignore the rational utilizing of time resources, which may lead the improvements of network throughput to a standstill. In this paper, we propose TOUSE, a scalable and fair user selection scheme for MU-MIMO. The core design is dynamic-time-warping-based user selection mechanism for downlink MU-MIMO, which could make full use of concurrent transmitting time. TOUSE also presents a novel data-rate estimation method without any CSI feedback, providing supports for user selections. Simulation result shows that TOUSE significantly outperforms traditional contention-based user selection schemes in both throughput and fairness in an indoor condition.

Improvement Target SW Process Selection for Small and Medium Size Software Organizations (중소 소프트웨어 기업의 개선 대상 SW 프로세스 선정)

  • Lee, Yang-Kyu;Kim, Jong-Woo;Kwon, Won-Il;Jung, Chang-Sin;Bae, Se-Jin
    • The KIPS Transactions:PartD
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    • v.9D no.5
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    • pp.887-896
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    • 2002
  • Based on SPICE (Software Process Improvement and Capability dEtermination) evaluation model, SPIRE (Software Process Improvement in Regions of Europe) is developed and published as a process improvement model for small and medium size organizations. However, practical selection guidelines or mapping rules between business goals and software processes do not exist within SPIRE. This research aims to construct an objective reference mapping table between business goals and software processes, and to propose a process selection method using the mapping table. The mapping table is constructed by the convergence of domestic software process experts' opinions using Delphi techniques. In the suggested process selection method, target processes are selected using the intuition of project participants or project managers as well as the reference mapping table. The feasibility of the proposed selection method has been reviewed by applying to two small software companies. Using the reference mapping table, we could select key processes which were passed over by project managers.

Bayesian Inference and Model Selection for Software Growth Reliability Models using Gibbs Sampler (몬테칼로 깁스방법을 적용한 소프트웨어 신뢰도 성장모형에 대한 베이지안 추론과 모형선택에 관한 연구)

  • 김희철;이승주
    • Journal of the Korean Society for Quality Management
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    • v.27 no.3
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    • pp.125-141
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    • 1999
  • Bayesian inference and model selection method for software reliability growth models are studied. Software reliability growth models are used in testing stages of software development to model the error content and time intervals between software failures. In this paper, we could avoid the multiple integration by the use of Gibbs sampling, which is a kind of Markov Chain Monte Carlo method to compute the posterior distribution. Bayesian inference and model selection method for Jelinski-Moranda and Goel-Okumoto and Schick-Wolverton models in software reliability with Poisson prior information are studied. For model selection, we explored the relative error.

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The Framework of Selection Process for Open Source Mobile UI Component (오픈소스 모바일 UI컴포넌트 선정 절차 프레임워크)

  • Sohn, Hyo-Jung;Lee, Min-Gyu;Seong, Baek-Min;Kim, Jong-Bae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.11
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    • pp.2593-2599
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    • 2014
  • The way of mobile apps development using open source software have been becoming increasingly popular recently. In opensource mobile User Interface components case, there is tends to much more be used than mobile functional components. Because it is more easier that the reusability for implementation of User Interface. The problem is to apply as an open source mobile components selected for this reason all of the existing two studies. It is an open source software selection process and selection procedures shelf components. We revise to conform to existing mobile components selected for the study on open source software selection process in this paper. Can help increase the productivity of the mobile app development by the open source components to meet the functional requirements when developing mobile apps that can be easily retrieved and presented the selection process of this study is effective.

COTS Component Quality Evaluation Using AHP

  • Oh Kie Sung
    • Proceedings of the IEEK Conference
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    • pp.712-716
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    • 2004
  • Because of rapid development of software technology, a number of software professionals have been concerned with component-based development methodologies. Up to date, the evaluation of component quality has been focused on object-oriented metric based methodology. But this paper presents the selection process and evaluation criteria based on an MCDM(Multiple Criteria Decision Making) technique for the selection of optimal COTS component from consumers' viewpoints. We considered functionality, efficiency and usability based on ISO/IEC 9126 for quality measurement and conducted practical analysis into commercial EJB component in internet. This paper shows that the proposed selection technique is applicable for the selection of the optimal COTS component.

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Selection Method of Software Metrics and Metric Tools using Model-Based Selection Criteria (모델 기반 선택 기준을 이용한 소프트웨어 메트릭 및 도구 선택 방법)

  • Song, Dong Hun;Seo, Yongjin;Kim, Hyeon Soo
    • KIISE Transactions on Computing Practices
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    • v.24 no.1
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    • pp.46-52
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    • 2018
  • Software metrics as a way to evaluate software play a significant role in reducing software development costs and improving quality. However, the emergence of various software metrics creates the problem that the user must select the correct metric. Various strategies have been studied to solve this problem. However, existing studies still have difficulties in selecting metrics by requiring high user interventions. Therefore, in this paper, we propose a method that helps to select the right metric and the metric tools by using their various characteristics as selection criteria, instead of using weighted expressions to minimize user intervention.

Development of Circuit Breaker Automatic Selection Program (선박 배선용 차단기 자동 선정 S/W 개발)

  • Ha, Sangho
    • Special Issue of the Society of Naval Architects of Korea
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    • pp.88-92
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    • 2017
  • As the considerable request of the fast and accurate way of the selection of circuit breaker is increased, we introduce the development of software of circuit breaker selection for the marine use. Originally, the selection of circuit breaker has been carried out by manual in the marine project. It is not the easy work to select the proper type of circuit breaker to check the time-current characteristic curves of each type of circuit breakers for the various type of loads. In this regards, we developed the software to select the proper type of circuit breaker to confirm fast and accurately. And, we introduce the course of the development of the software for the selection of circuit breaker.

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Bayesian Analysis of Software Reliability Growth Model with Negative Binomial Information (음이항분포 정보를 가진 베이지안 소프트웨어 신뢰도 성장모형에 관한 연구)

  • Kim, Hui-Cheol;Park, Jong-Gu;Lee, Byeong-Su
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.3
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    • pp.852-861
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    • 2000
  • Software reliability growth models are used in testing stages of software development to model the error content and time intervals betwewn software failures. In this paper, using priors for the number of fault with the negative binomial distribution nd the error rate with gamma distribution, Bayesian inference and model selection method for Jelinski-Moranda and Goel-Okumoto and Schick-Wolverton models in software reliability. For model selection, we explored the sum of the relative error, Braun statistic and median variation. In Bayesian computation process, we could avoid the multiple integration by the use of Gibbs sampling, which is a kind of Markov Chain Monte Carolo method to compute the posterior distribution. Using simulated data, Bayesian inference and model selection is studied.

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