An Approach to Quantitative Software Architecture Sensitivity Analysis

Lung, Chung-Horng; Kalaichelvan, Kalai

doi:10.1142/s0218194000000079

Cited by 37 publications

(12 citation statements)

References 11 publications

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“…We used Jaccard Coefficient over three dimensions of resemblance (interaction, performance and security) and then we used the mathematical average as representative (more details are in subsection 5.5). WPGMA (Weighted Pair-Group Method using arithmetic Averages) is commonly adopted to find the average of the resemblance coefficients when two clusters are merged [7,22]. The averages are weighted by the number of components in each cluster.…”

Section: Clusteringmentioning

confidence: 99%

“…However, in [1,2], authors did not provide a way to handle non-functional attributes. In this research, we extend the approach presented in [8] to cover functional and non-functional constraints related to cloud deployment in order to handle the tradeoffs among interaction, security and performance that previous research [7,12,13,28] did not handle. To build this extension, we adapt the steps and the decomposition algorithm used in the original approach used in [8].…”

Section: Introductionmentioning

confidence: 99%

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Towards Efficient Software Deployment in the Cloud Using Requirements Decomposition

Alkhalid

Lung

Ajila

2013

2013 IEEE 5th International Conference on Cloud Computing Technology and Science

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The major advancement in distributed and High Performance Computing (HPC) systems is the development and evolution of clouds, applications that operate these clouds, and services provided by them. Cloud computing applications are expected to facilitate running complex systems on data centers containing storage and computing units in the range of tens to hundreds of thousands of devices. Meeting the needs of cloud computing systems makes the software deployment process a challenging task. The challenge comes from difficulty in managing the tradeoffs over various dimensions, such as interaction, performance, and security while making deployment decisions. Making deployment decisions exceeds human capability in light of huge increase in computation/storage units in the clouds and software systems running on these clouds. Therefore, autonomic approaches to assist software designers in making the software deployment decisions are important. In this paper, we propose an approach based on clustering techniques for deploying software components on the cloud using requirements decomposition. The paper also demonstrates a validation study of the proposed approach with a case study.

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Section: Clusteringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards Efficient Software Deployment in the Cloud Using Requirements Decomposition

Alkhalid

Lung

Ajila

2013

2013 IEEE 5th International Conference on Cloud Computing Technology and Science

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“…ISO defines that the quality of software system comprises of eight different attributes as shown in Fig. 1 [2]. Every individual attribute can be broken down to several sub-attributes.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Analytical Hierarchy Process (FAHP) Based Software Quality Assessment Model: Maintainability Analysis

Dayanandan¹,

Vivekanandan²

2018

IJIES

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Software quality assessment at the architectural level is efficient because it provides various advantages to find and fix design errors at the earliest stage of software development life cycle (SDLC).Numerous methods have been evolved to validate quality-related issues at the architectural level. The software quality comprises of a total of eight attributes where maintainability is one of the important attribute which affects the overall system quality. Though few methods are available for maintainability analysis, none of the state of art method employs fuzzy logic with Quality Model for Object Oriented Design (QMOOD) metric suite. In this paper, the fuzzy analytic hierarchy process (FAHP) method is proposed with Buckley method to evaluate the influence of maintainability and its subattributes in software quality at the architectural level. The proposed evaluation model is tested against several versions of the MFC and OWL windows application frameworks and the obtained results are compared with the state-of-the-art methods. This experimental analysis shows that the FAHP with Buckley method is superior to the other compared methods.

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“…Some researchers examine the role of software architecture in determining different quality characteristics in general [18], [2], while several others focused on performance characteristics in particular [20], [19]. In performance analysis, the robustness and reliability of analysis methods are a main issue [15], [6], [5].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of service-oriented architectures with multi-factor sensitivity analysis

Yuan

2007

2007 IEEE International Conference on Electro/Information Technology

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Abstract-This paper presents a continuous investigation on performance analysis with sensitivity analysis. As an effort to develop a systematic approach to improve the performance of service-oriented software systems, the original work introduced a statistical approach of two-factor-based sensitivity analysis to software performance analysis. The goal of generating accurate performance feedback, however, was only partially achieved as performance analysis needs to consider more factors. This paper presents a generalization for the statistical method to handle multiple factors. In addition, it gives detailed discussions on sensitivity analysis with three factors, and provides experiment results to demonstrate the need and advantages of analyzing multiple factors at the same time.

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An Approach to Quantitative Software Architecture Sensitivity Analysis

Abstract: Abstract

Cited by 37 publications

References 11 publications

Towards Efficient Software Deployment in the Cloud Using Requirements Decomposition

Towards Efficient Software Deployment in the Cloud Using Requirements Decomposition

A Fuzzy Analytical Hierarchy Process (FAHP) Based Software Quality Assessment Model: Maintainability Analysis

Performance analysis of service-oriented architectures with multi-factor sensitivity analysis

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