Modeling and simulation framework for quality estimation of web applications through architecture evaluation

Abstract

The explosive growth of the cloud computing industry in recent years has paying attention to problems related to software services quality. Given that quality models serve as frameworks for quality evaluation, this paper proposes a modeling and simulation framework that measures properties derived from ISO/IEC 25010 quality model as main quality concerns of cloud computing applications. The simulation models are obtained by translating the architectural design to an equivalent functional description that, with aims to obtain the quality evaluation, explores all possible component states. Moreover, the framework automatically builds the simulation models using a set of predefined behaviors as components descriptors. Such models are combined with an experimental frame in a simulation scenario that helps to estimate quality employing the performance of the architectural design. Therefore the simulation process is hidden to software architects, providing an evaluation process able to be executed by any developer without knowledge of discrete-event simulation. Two general architectures are used as case study in order to show how works the modeling and simulation framework.

Building DEVS Models from the Functional Design of Software Architecture Components to Estimate Quality

“…The Routed DEVS (RDEVS) essential models are basically DEVS atomic models used as embedded components in a new type of discrete-event model named RDEVS routing model [Blas, Gonnet and Leone 2017]. The use of Routed DEVS as a formalism for building architectural simulation models was presented in [Blas, Leone and Gonnet 2020].…”

“…This is the case of Modeling and Simulation (M&S). A deeper discussion regarding the use of M&S for software architectures in comparison with other traditional approaches is presented in [Blas, Leone and Gonnet 2020].…”

Software Quality Measurement for Functional Suitability, Performance Efficiency, and Reliability Characteristics Using Analytical Hierarchy Process

“…Performance Efficiency is the ability of software to provide appropriate performance relative to the number of resources used under certain conditions. Performance Efficiency consists of 2 sub-characteristics, namely [12]:  Time Behavior is the ability of the software to provide response and processing time [13].  Resource Utilization is the ability of software to use its resources when performing specified functions [14].…”