• Title/Summary/Keyword: Software capability

Search Result 599, Processing Time 0.027 seconds

A Study on Software Reliability Growth Modeling with Fault Significance Levels (결함 중요도 단계를 고려한 소프트웨어 신뢰도 성장 모델에 관한 연구)

  • 신경애
    • Journal of the Korea Computer Industry Society
    • /
    • v.3 no.7
    • /
    • pp.837-844
    • /
    • 2002
  • In general, software test is carried out to detect or repair errors in system during software development process. Namely, we can evaluate software reliability through collecting and removing the faults detected in testing phase. Software reliability growth model evaluates reliability of software mathematically. Many kinds of software reliability growth modeling which modeling the processes of detecting, revising and removing the faults detected in testing phase have been proposed in many ways. and, it is assumed that almost of these modeling have one typed detect and show the uniformed detection rate. In this study, significance levels of the faults detected in test phase are classified according to how they can affect on the whole system and then the fault detection capability of them is applied. From this point of view, We here by propose a software reliability growth model with faults detection capability according considering fault significance levels and apply some fault data to this proposed model and finally verify its validity by comparing and estimating with the existing modeling.

  • PDF

Development of a Process Capability Assessment Method for Process-based Industries (공정기반 산업의 프로세스 인프라 역량 평가 방법 제안 및 적용)

  • Kang, Young-Mo;Im, Byeong-Hyeok;Yoon, Byun-Gun;Lee, Sung-Joo
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.35 no.1
    • /
    • pp.16-23
    • /
    • 2012
  • Recently, as organizational systems have become larger and more complicated, the evaluation for their efficiency and effectiveness has become more difficult but important. It is essential to understand the current strength and weakness of the organizational process. It can be a starting point for improving the efficiency and effectiveness of the organizational systems, because the quality of system outputs depend greatly on the capability of system process. Particularly in such process-based industries as semiconductor, energy or software industries, an assessment of process capability is more highlighted to gain knowledge of the expected quality and reliability of system outputs. As a result, much attention has been given to the issues of process capability assessment in the process-based industries. However, most of the previous research in those industries is based on case studies, a more generalized method for process capability assessment is in need for help more companies improve their processes. Therefore, this study aims to propose a process capability assessment method and apply the proposed method to an energy company. This research argues that the process capability is composed of individual and organizational capabilities of the process. Then, the concept of Capability Maturity Model Integration, which was initially suggested to evaluate the software development process, was introduced to develop the assessment tools and process. Finally, the proposed method was applied to a Korean company in the energy industry sector to verify its utility. The research outputs are expected to help more firms assess their process capability and ultimately improve the process.

A guideline for evaluating EIS software packages

  • Byun, Daeho;Suh, Euiho
    • Proceedings of the Korean Operations and Management Science Society Conference
    • /
    • 1994.04a
    • /
    • pp.344-354
    • /
    • 1994
  • In the development of executive information systems (EIS) the selection of an appropriate software package as a system building tool is regarded as a key technology. This paper attempts to shed some light on the evolving field of EIS software packages and provides a helpful Guideline for selecting the most suitable product by addressing significant considerations. A framework is presented that includes a six-step evaluation process: need analysis, team building, vendor survey, identification of decision criteria, and building an evaluation model and its verification. The major evaluation criteria of the full-featured software include: special functionality, reporting, graphics. decision support capability user friendliness, general functionality physical requirements, communication linkage, vendor support, cost related factors, performance, and documentation capability. An illustrative model using the analytic hierarchy process (AHP) method is also discussed to prove the appropriateness of our approach.

Software Key Node Recognition Algorithm for Defect Detection based on Node Expansion Degree and Improved K-shell Position

  • Wanchang Jiang;Zhipeng Liu
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.18 no.7
    • /
    • pp.1817-1839
    • /
    • 2024
  • To solve the problem of insufficient recognition of key nodes in the existing software defect detection process, this paper proposes a key node recognition algorithm based on node expansion degree and improved K-shell position, shortened as SDD_KNR. Firstly, the calculation formula of node expansion degree is designed to improve the degree that can measure the local defect propagation capability of nodes in the software network. Secondly, the concept of improved K-shell position of node is proposed to obtain the improved K-shell position of each node. Finally, the measurement of node defect propagation capability is defined, and the key node recognition algorithm is designed to identify the key function nodes with large defect impact range in the process of software defect detection. Using real software systems such as Nano, Cflow and Tar to design three sets of experiments. The corresponding directed weighted software function invoke networks are built to simulate intentional attack and defect source infection. The proposed SDD_KNR algorithm is compared with the BC algorithm, K-shell algorithm, KNMWSG algorithm and NMNC algorithm. The changing trend of network efficiency and the strength of node propagation force are analyzed to verify the effectiveness of the proposed SDD_KNR algorithm.

Development and Verification Methodology for Small Civil Unmanned Aerial Vehicle System based on Open System Architecture (개방형 시스템 아키텍처 기반의 소형 민간 무인항공기 시스템 개발 및 검증 방법)

  • Jo, Hyun-Chul;Park, Keunyoung
    • Journal of Platform Technology
    • /
    • v.8 no.2
    • /
    • pp.32-43
    • /
    • 2020
  • The Unmanned Aerial Vehicle(UAV) system has been mainly used for military domains, but it also widely applied to used in the civilian domains. In civilian domains, low-cost and small-sized UAV systems are mainly applied in various industries. The software that operates UAV systems has a lot of common functions. However, even though there are many common functionalities of the software, changing the devices may cause a problem requiring software modification. These problems degrade interoperability, modularity and portability in UAV systems. In order to solve the problems, an Open System Architecture(OSA) has been proposed. In this paper, we propose a UAV system software architecture based on Future Airborne Capability Environment(FACE) standard. Our system can support UAV systems of various platforms in the civilian domains, which is supplied in small quantity batch production. And it has the advantages of software consolidation and portability. Finally, We describe the development and conformant methodology of the software based on the FACE standard using open development tools.

  • PDF

Failure Time Prediction Capability Comparative Analysis of Software NHPP Reliability Model (소프트웨어 NHPP 신뢰성모형에 대한 고장시간 예측능력 비교분석 연구)

  • Kim, Hee-Cheul;Kim, Kyung-Soo
    • Journal of Digital Convergence
    • /
    • v.13 no.12
    • /
    • pp.143-149
    • /
    • 2015
  • This study aims to analyze the predict capability of some of the popular software NHPP reliability models(Goel-Okumo model, delayed S-shaped reliability model and Rayleigh distribution model). The predict capability analysis will be on two key factors, one pertaining to the degree of fitment on available failure data and the other for its prediction capability. Estimation of parameters for each model was used maximum likelihood estimation using first 80% of the failure data. Comparison of predict capability of models selected by validating against the last 20% of the available failure data. Through this study, findings can be used as priori information for the administrator to analyze the failure of software.

Application and Design of Metrics for Software Process Measurement (소프트웨어 프로세스 측정을 위한 척도 설계 및 활용)

  • Hwang Sun-Myung;Yeom Hee-Gyun
    • The KIPS Transactions:PartD
    • /
    • v.12D no.7 s.103
    • /
    • pp.937-946
    • /
    • 2005
  • In the current marketplace, there are maturity models, standards, methodologies and guidelines that can help an organization improve the way it does business. All SPI models including ISO/IEC I5504 and CMMI provide the capability level of software process. However, most available improvement models focus on a specific goals and Practices of the processes So my assessors need an objective process measure how to estimate achievement of goals and practices. We proposed quantitative process capability metric (PCM) which can determine the degree of capability And the effective measuring approach help SPI assessor as well as organization unit.

A Study on Development of Test Process Improvement Model (테스트 프로세스 개선 모델 개발에 관한 연구)

  • Yang, Ju-Mi;Bae, Wook;Han, Hyuk-Soo;Shin, Seok-Kyoo;Kim, Kyoung
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2005.05a
    • /
    • pp.251-254
    • /
    • 2005
  • 소프트웨어 품질의 중요성이 커짐에 따라, 기업들은 품질을 높이기 위해 테스트에 많은 노력을 기울이고 있다. 최근에는 테스트 성과를 높이기 위한 방법중의 하나로 테스트 프로세스 개선이 주목 받고 있다. 이를 위해 기업들은 SW-CMM(Capability Maturity Model for Software), CMMI(Capability Maturity Model Integration)와 같은 일반적인 프로세스 개선 모델들이나, TMM (Test Maturity Model), TPI (Test Process Improvement Model), TCMM (Testing Capability Maturity Model)과 같은 테스트 프로세스 개선 모델들을 적용하고 있다. 그러나 일반적인 프로세스 개선 모델들은 테스트 관련 이슈를 충분히 다루고 있지 않고, 테스트 프로세스 개선 모델들은 구조가 불완전하거나 내용이 충분하지 않아 적용 시 많은 어려움이 있다. 이에 본 논문에서는 TMM 과 CMMI 를 기반으로 조직들의 테스트 프로세스 확립이나 개선을 지원할 수 있는 새로운 테스트 프로세스 성숙도 모델인 TPMM(Test Process Maturity Model)을 연구, 개발하였다. 개발된 TPMM 을 통해 조직에서 테스트 프로세스를 개선하고, 심사하는 것을 지원할 수 있을 것으로 기대된다.

  • PDF

Defense software test procedure improvement measure reflecting the TMMi (TMMi를 반영한 국방 소프트웨어 테스트 절차 발전방안)

  • Park, Yeon-Dong
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.22 no.1
    • /
    • pp.87-93
    • /
    • 2021
  • As the portion of modern weapons systems equipped with electronic components increases, the presence of embedded software has also increased, subsequently drawing interest in quality management and development methods. Unlike mechanical systems, software is logically intangible, hard to troubleshoot, and hard to reuse, making it hard to utilize limited resources when exposed to failures. The United States had successful results in establishing the Capability Maturity Model (CMM) by studying and applying separate processes for development and quality management of defense software. South Korea has also established, and utilizes, a standard of development and quality management for defense software based on international standards. However, some say those standards still remain at a basic level, and should be modified along with the progress in software. If the standard stays at a basic level, compared to software progression, the cost to reuse and restore resources will increase exponentially. This paper discusses improvement in the test processes for defense software through the Test Maturity Model-integration (TMMi)-derived from the CMM-and presents a blueprint for defense software quality management.

A General Coverage-Based NHPP SRGM Framework

  • Park, Joong-Yang;Lee, Gye-Min;Park, Jae-Heung
    • Communications for Statistical Applications and Methods
    • /
    • v.15 no.6
    • /
    • pp.875-881
    • /
    • 2008
  • This paper first discusses the existing non-homogeneous Poisson process(NHPP) software reliability growth model(SRGM) frameworks with respect to capability of representing software reliability growth phenomenon. As an enhancement of representational capability a new general coverage-based NHPP SRGM framework is developed. Issues associated with application of the new framework are then considered.