Abstract
In the requirement engineering phase, the team members work to get the user requirements, comprehend them and specify them for the next process. There are many models for the requirement engineering phase. There is a need to select the best Requirement Engineering model, and integrate it with cloud computing, that can give the best response to the users and software developers and avoid mistakes in the requirement engineering phase. In this study, these models are integrated with the cloud computing domain, and we report on the security considerations of all the selected models. Four requirement engineering process models are selected for this study: the Linear approach, the Macaulay Linear approach, and the Iterative and Spiral models. The focus of this study is to check the security aspects being introduced by the cloud platform and assess the feasibility of these models for the popular cloud environment SaaS. For the classification of the security aspects that affect the performance of these model, a framework is proposed, and we check the results regarding selected security parameters and RE models. By classifying the selected RE models for security aspects based on deep learning techniques, we determine that the Loucopoulos and Karakostas iterative requirements engineering process model performs better than all the other models.
Highlights
IntroductionRequirement engineering (RE), as the initial phase of software engineering, is used for the definition of the customer’s requirement, documenting them, and efficiently maintaining them throughout the project
We have used the Aurora 2 dataset with multiple files required for the training of data, and classified it in MATLABr2018b
There are many reasons for the selection of Aurora 2. It is a publicly available dataset and provides the best identification and recognition results when used with the Convolutional Neural Network Model (CNN)
Summary
Requirement engineering (RE), as the initial phase of software engineering, is used for the definition of the customer’s requirement, documenting them, and efficiently maintaining them throughout the project. To achieve these objectives, the team members carry out requirement elicitation, specification, verification and validation. The management of team members, cost and time are the mandatory factors for this phase. There are many hurdles in the gathering of requirements, which lead to many difficulties in the other phases of development. Four requirement engineering models were selected, which are integrable with cloud computing, and we investigated their security measures
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