Preliminary Study of Software Performance Models
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 2
Abstract
Context: Software performance models can be obtained by applying for specific roles, skills and techniques in software life cycle, and it depends on formulating the software problem as well as gathering the performance requirements. This paper presents a preliminary review of the software performance models. This constitutes a reference for the IT companies and personnel that help them select the suitable model for their projects. Also, the study helps researchers find out further research areas in this field. A preliminary review according to a predefined strategy is used to conduct previous approaches of software performance models integrated with software development cycle in early software cycle. A review has been done for exploring and comparing the software performance models that are published previously. This study results in a comprehensive review for the existing software performance models. This review composes a clear reference for highlighting the weak and strength points of these models.
Authors and Affiliations
Issamjebreen , Mohammed Awad
Clustering and Bayesian network for image of faces classification
In a content based image classification system, target images are sorted by feature similarities with respect to the query (CBIR). In this paper, we propose to use new approach combining distance tangent, k-m...
CWNN-Net: A New Convolution Wavelet Neural Network for Gender Classification using Palm Print
The human hand is one of the body parts with special characteristics that are unique to every individual. The distinctive features can give some information about an individual, thus, making it a suitable body part that...
An Overview of Mutation Strategies in Bat Algorithm
Bat algorithm (BA) is a population based stochastic search technique encouraged from the intrinsic manner of bee swarm seeking for their food source. BA has been mostly used to resolve diverse kind of optimization proble...
A New Mixed Signal Platform to Study the Accuracy/Complexity Trade-Off of DPD Algorithms
The increase in bandwidth of Power Amplifier (PA) input signals has led to the development of more complex behavioral PA models. Most recent models such as the Generalized Memory Polynomial (1) or the Polyharmonic distor...
Impact of Elliptical Holes Filled with Ethanol on Confinement Loss and Dispersion in Photonic Crystal Fibers
To get a confinement loss value, the weakest possible We have interest to optimize an optical fiber our structure has a cladding which is formed by holes in silica. The geometry of the holes is special because they have...