seyedebrahim dashti Articles List

List of Articles seyedebrahim dashti

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1 - Providing a Method Based on Data Mining and Semantic Web Techniques to Prioritize Software Requirements
Sahar Ghazizadeh Seyedebrahim Dashti

Requirements engineering is one of the important and main phases in the software development process. In this phase, various activities are performed by software engineers. In this paper, the problem of prioritizing requirements in the iterative software development pro More

Requirements engineering is one of the important and main phases in the software development process. In this phase, various activities are performed by software engineers. In this paper, the problem of prioritizing requirements in the iterative software development process has been investigated. The main goal is to automatically find priority groups of requirements so that each group of requirements can be implemented in one iteration of the development process. For this purpose, data mining, text processing and semantic similarity techniques have been used. The proposed methods have been applied to the data set related to the requirements of different software. The proposed methods have different phases. In the clustering phase, various clustering algorithms such as K-Means, hierarchical clustering, and Density-based spatial clustering of applications with noise (DBSCAN) have been used. In order to check the effectiveness of clustering methods, the results obtained for the prioritization of requirements have been compared with the priority groups determined by experts. The results of the comparison show that the presented methods have good and acceptable performance for classifying requirements and clustering methods. Proposed method provides an average of 3% better performance. Manuscript profile
Open Access Article
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- Full-Text
2 - Increase the Efficiency of the Offloading Algorithm in Fog Computing by Particle Swarm Optimization Algorithm
Seyed Ebrahim Dashti Hoasain Zare

Edge computing is a computing paradigm that extends cloud services to devices at the edge. This processing model refers to technologies that allow computing and storage to be performed on devices at the edge of the network. In this architecture, computing and storage op More

Edge computing is a computing paradigm that extends cloud services to devices at the edge. This processing model refers to technologies that allow computing and storage to be performed on devices at the edge of the network. In this architecture, computing and storage operations take place close to objects and data sources. In order to reduce latency and network traffic between end devices and cloud centers, groups at the edge have processing capabilities, perform a large number of processing and computing tasks, including data processing, temporary storage, device management, decision making, and privacy protection. Since the number of edge devices is large, there must be a mechanism to select these tasks and offload them to the cloud. The problem to be decided is that which one of the available edge devices should be selected for unloading and then unloaded. This problem is classified as one of the hard non-polynomial problems and by using deterministic algorithms simply and in polynomial time, it is not possible to find a suitable and efficient solution for it found. Manuscript profile

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List of Articles seyedebrahim dashti