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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dans cet article, nous discutons de l'évaluation de la performabilité des logiciels en considérant la propriété temps réel ; ceci est défini comme l'attribut selon lequel le système peut terminer la tâche dans le délai de réponse stipulé. Nous supposons que le système logiciel a deux états opérationnels du point de vue des utilisateurs finaux : l’un fonctionne avec le niveau de performance souhaitable selon les spécifications et l’autre avec un niveau de performance dégradé. Le processus dynamique de croissance de la fiabilité logicielle avec dégradation des performances est décrit par le modèle markovien étendu de fiabilité logicielle avec débogage imparfait. En supposant que le système logiciel peut traiter plusieurs tâches simultanément et que le processus d'arrivée des tâches suit un processus de Poisson non homogène, nous analysons la distribution du nombre de tâches dont les processus peuvent être complétés dans le délai de traitement avec le modèle de file d'attente infinie du serveur. . Nous dérivons plusieurs mesures de performabilité logicielle en considérant la propriété temps réel ; ceux-ci sont donnés en fonction du temps et du nombre d'activités de débogage. Enfin, nous illustrons plusieurs exemples numériques de mesures permettant d'étudier l'impact de la prise en compte de la dégradation des performances sur l'évaluation de la performabilité du système.
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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
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@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},}
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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 -