Evaluation of Software Architecture Quality Attribute for an Internet Banking System

Meiappane, A.; Chitra, B.; Venkataesan, Prasanna

doi:10.5120/10189-5062

Cited by 4 publications

(2 citation statements)

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“…An analysis has been conducted to acquire the data from 15 research papers of cloud computing from reputed journals about cloud workloads with the objective to know about how to assign the weights to the quality attributes according to significance [47][48][49][50][51][52][53][54][55][56][57][58][59][60][61]. After getting the responses, an industry standard baseline and acceptable weights to the quality attributes have been defined.…”

Section: Assign Weights To Quality Attributesmentioning

confidence: 99%

QRSF: QoS-aware resource scheduling framework in cloud computing

2014

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Cloud computing harmonizes and delivers the ability of resource sharing over different geographical sites. Cloud resource scheduling is a tedious task due to the problem of finding the best match of resource-workload pair. The efficient management of dynamic nature of resource can be done with the help of cloud workloads. Till cloud workload is deliberated as a central capability, the resources cannot be utilized in an effective way. In literature, very few efficient resource scheduling policies for energy, cost and time constraint cloud workloads are reported. This paper presents an efficient cloud workload management framework in which cloud workloads have been identified, analyzed and clustered through K-means on the basis of weights assigned and their QoS requirements. Further scheduling has been done based on different scheduling policies and their corresponding algorithms. The performance of the proposed algorithms has been evaluated with existing scheduling policies through CloudSim toolkit. The experimental results show that the proposed framework gives better results in terms of energy consumption, execution cost and time of different cloud workloads as compared to existing algorithms.

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Section: Assign Weights To Quality Attributesmentioning

confidence: 99%

QRSF: QoS-aware resource scheduling framework in cloud computing

2014

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“…In other work, Roshandel, Medvidovic, and Golubchik () show a way to predict reliability by mean of the architectural design. Related works on this research area are presented in the literature (Bogado, Gonnet, & Leone, ; Meiappane, Chithra, & Venkataesan, ; Rech & Bunse, ). However, all these researches are applied to a defined set of quality attributes.…”

Section: Background and Motivationmentioning

confidence: 99%

An ontology to document a quality scheme specification of a software product

2017

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Pressman's (2010) definition of software quality is the conformance to explicitly stated functional and performance requirements, explicitly documented development standards, and implicit characteristics that are expected of all professionally developed software. The achievement of quality is a complex activity that is related with the process quality and product quality. However, still, it is not clear how product quality should apply in the development process. Frequently, the development team does not know what characteristics influence a specific entity and how these characteristics compose the quality of the product. This lack of knowledge reflects the need to define some document that serve as a valid quality specification that should be evaluated along the development process. This contribution addresses this need by introducing an ontology for document a quality scheme based on the product quality model of ISO/IEC 25010. The proposal follows this model with aims to clarify the properties that are normally present in a product and its meaning. The ontology incorporates the metric concept to represent the way in which quality should be measure. The ontology was implemented using Protégé, and it was evaluated using a set of metrics that estimate the required structural characteristics.

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