Multi-software reliability allocation in multimedia systems with budget constraints using Dempster–Shafer theory and improved differential evolution

Feng, Yulin; Zhang, Guofu; Su, Zhaopin; Zhang, Ting

doi:10.1016/j.neucom.2014.09.103

Cited by 11 publications

(7 citation statements)

References 33 publications

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“…Software development managers need to make a decision on optimum resource allocation for the testing effort to maximize quality and reliability. In the literature, the recent trend of multiobjective resource allocation ( [13][14][15][16]) problem using several optimization algorithms ( [17][18][19][20][21]) helps resources allocation manager to take an appropriate decision. We consider the relationship between testing effort spent during module testing and detected software faults.…”

Section: Introductionmentioning

confidence: 99%

Entropy based enhanced particle swarm optimization on multi‐objective software reliability modelling for optimal testing resources allocation

Rani¹,

Mahapatra²

2021

Software Testing Verif & Rel

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Summary This paper proposes a generalization of the exponential software reliability model to characterize several factors including fault introduction and time‐varying fault detection rate. The software life cycle is designed based on module structure such as testing effort spent during module testing and detected software faults etc. The resource allocation problem is a critical phase in the testing stage of software reliability modelling. It is required to make decisions for optimal resource allocation among the modules to achieve the desired level of reliability. We formulate a multi‐objective software reliability model of testing resources for a new generalized exponential reliability function to characterizes dynamic allocation of total expected cost and testing effort. An enhanced particle swarm optimization (EPSO) is proposed to maximize software reliability and minimize allocation cost. We perform experiments with randomly generated testing‐resource sets and varying the performance using the entropy function. The multi‐objective model is compared with modules according to weighted cost function and testing effort measures in a typical modular testing environment.

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Section: Introductionmentioning

confidence: 99%

Entropy based enhanced particle swarm optimization on multi‐objective software reliability modelling for optimal testing resources allocation

Rani¹,

Mahapatra²

2021

Software Testing Verif & Rel

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“…Zahedi and Ashrafi [20] proposed analytical hierarchical process (AHP) based software reliability allocation with objective of maximizing the user's utility based on cost and price. Leung [18] proposed the operational profile based reliability problem by using AHP and software utility function to form the software utility function defined in terms of reliability measures. Chatterjee et al [4] established a system hierarchy combining users and developers view and adopted Fuzzy Analytical Hierarchical process (FAHP) to determine the weights required for reliability allocation.…”

Section: Introductionmentioning

confidence: 99%

“…Chatterjee et al [4] established a system hierarchy combining users and developers view and adopted Fuzzy Analytical Hierarchical process (FAHP) to determine the weights required for reliability allocation. Yue et al [18] used Dempster-Shafer theory for reliability allocation among the Multi-software in multimedia systems subject to the budget constraints.…”

Section: Introductionmentioning

confidence: 99%

Architecture-based Optimal Software Reliability Allocation under uncertain preferences

Aggarwal

Verma

Anand

2018

Proceedings of the First International Conference on Information Technology and Knowledge Management

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Reliability Allocation in an essential task of the software development process. Increasing complexities in software structure and demand for bug free software has made Reliability Allocation a mandatory task during design and planning phase. So far in the literature several methods and models have been discussed for achieving the reliability target based on user's and developer's point of view. The crucial question that arises is 'How to allocate reliability for a Software system in an uncertain atmosphere where developer's preferences are subjective in nature?". In this paper, we have proposed the software reliability allocation problem incorporating the decision maker's subjective uncertain preferences using Ordered Weighted Averaging (OWA) approach based on Fuzzy Analytical Hierarchical Process (FAHP).Parameter determination using FAHP through architectural hierarchy of the software system helps in interaction of user's assessment with the software engineers and programmers outlook. The OWA technique ensures complete use of available information and also avoids any kind of biasedness in reliability allocation due to overestimation of developer's inclinations. The proposed MEMV-OWA (Maximum Entropy Minimum Variance) operator is a bi-objective mathematical programing problem that maximizes entropy (deployment of information) along with minimization of the variance in weighting vector in an uncertain environment. Reliability allocation procedure for software system using the anticipated process has been discussed in detail. Also precise demonstration of the procedure has been done with an application example.

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“…In the literature, reliability allocation has mainly concentrated on understanding performance factors of systems in design and development stages. There are various studies to optimize early-stage reliability allocation for software [3,22,25,34,35], network systems [4,21,23], and other mechanical or electromechanical complex systems [1,2,13,17,18,31,33]. In addition, more general methodologies have also been proposed to be applied in design and development of various systems.…”

Section: Introductionmentioning

confidence: 99%

risk-based reliability allocation methodology to set a maintenance priority among system components: a case study in mining

Gölbaşı¹

2017

EiN

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Multi-software reliability allocation in multimedia systems with budget constraints using Dempster–Shafer theory and improved differential evolution

Cited by 11 publications

References 33 publications

Entropy based enhanced particle swarm optimization on multi‐objective software reliability modelling for optimal testing resources allocation

Entropy based enhanced particle swarm optimization on multi‐objective software reliability modelling for optimal testing resources allocation

Architecture-based Optimal Software Reliability Allocation under uncertain preferences

risk-based reliability allocation methodology to set a maintenance priority among system components: a case study in mining

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