The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 실시간 특성을 고려한 소프트웨어 성능 평가에 대해 논의합니다. 이는 시스템이 규정된 응답 시간 제한 내에 작업을 완료할 수 있는 속성으로 정의됩니다. 우리는 소프트웨어 시스템이 최종 사용자의 관점에서 두 가지 작동 상태를 가지고 있다고 가정합니다. 하나는 사양에 따라 바람직한 성능 수준으로 작동하는 것이고 다른 하나는 저하된 성능 수준으로 작동하는 것입니다. 성능 저하가 있는 동적 소프트웨어 신뢰성 성장 프로세스는 불완전한 디버깅을 사용하는 확장된 Markovian 소프트웨어 신뢰성 모델로 설명됩니다. 소프트웨어 시스템이 여러 작업을 동시에 처리할 수 있고 작업 도착 과정이 비균질 포아송 과정을 따른다고 가정하고 무한 서버 큐잉 모델을 사용하여 처리 시간 제한 내에 프로세스를 완료할 수 있는 작업 수의 분포를 분석합니다. . 우리는 실시간 특성을 고려하여 몇 가지 소프트웨어 성능 측정값을 도출합니다. 이는 시간과 디버깅 활동 수의 함수로 제공됩니다. 마지막으로, 시스템 성능 평가에 대한 성능 저하 고려의 영향을 조사하기 위한 측정값의 몇 가지 수치적 예를 설명합니다.
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부
Koichi TOKUNO, Shigeru YAMADA, "Performability Modeling for Software System with Performance Degradation and Reliability Growth" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 7, pp. 1563-1571, July 2009, doi: 10.1587/transfun.E92.A.1563.
Abstract: In this paper, we discuss software performability evaluation considering the real-time property; this is defined as the attribute that the system can complete the task within the stipulated response time limit. We assume that the software system has two operational states from the viewpoint of the end users: one is operating with the desirable performance level according to specification and the other is with degraded performance level. The dynamic software reliability growth process with performance degradation is described by the extended Markovian software reliability model with imperfect debugging. Assuming that the software system can process the multiple tasks simultaneously and that the arrival process of the tasks follows a nonhomogeneous Poisson process, we analyze the distribution of the number of tasks whose processes can be completed within the processing time limit with the infinite server queueing model. We derive several software performability measures considering the real-time property; these are given as the functions of time and the number of debugging activities. Finally, we illustrate several numerical examples of the measures to investigate the impact of consideration of the performance degradation on the system performability evaluation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.1563/_p
부
@ARTICLE{e92-a_7_1563,
author={Koichi TOKUNO, Shigeru YAMADA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Performability Modeling for Software System with Performance Degradation and Reliability Growth},
year={2009},
volume={E92-A},
number={7},
pages={1563-1571},
abstract={In this paper, we discuss software performability evaluation considering the real-time property; this is defined as the attribute that the system can complete the task within the stipulated response time limit. We assume that the software system has two operational states from the viewpoint of the end users: one is operating with the desirable performance level according to specification and the other is with degraded performance level. The dynamic software reliability growth process with performance degradation is described by the extended Markovian software reliability model with imperfect debugging. Assuming that the software system can process the multiple tasks simultaneously and that the arrival process of the tasks follows a nonhomogeneous Poisson process, we analyze the distribution of the number of tasks whose processes can be completed within the processing time limit with the infinite server queueing model. We derive several software performability measures considering the real-time property; these are given as the functions of time and the number of debugging activities. Finally, we illustrate several numerical examples of the measures to investigate the impact of consideration of the performance degradation on the system performability evaluation.},
keywords={},
doi={10.1587/transfun.E92.A.1563},
ISSN={1745-1337},
month={July},}
부
TY - JOUR
TI - Performability Modeling for Software System with Performance Degradation and Reliability Growth
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1563
EP - 1571
AU - Koichi TOKUNO
AU - Shigeru YAMADA
PY - 2009
DO - 10.1587/transfun.E92.A.1563
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2009
AB - In this paper, we discuss software performability evaluation considering the real-time property; this is defined as the attribute that the system can complete the task within the stipulated response time limit. We assume that the software system has two operational states from the viewpoint of the end users: one is operating with the desirable performance level according to specification and the other is with degraded performance level. The dynamic software reliability growth process with performance degradation is described by the extended Markovian software reliability model with imperfect debugging. Assuming that the software system can process the multiple tasks simultaneously and that the arrival process of the tasks follows a nonhomogeneous Poisson process, we analyze the distribution of the number of tasks whose processes can be completed within the processing time limit with the infinite server queueing model. We derive several software performability measures considering the real-time property; these are given as the functions of time and the number of debugging activities. Finally, we illustrate several numerical examples of the measures to investigate the impact of consideration of the performance degradation on the system performability evaluation.
ER -