تعداد نشریات | 418 |
تعداد شمارهها | 9,997 |
تعداد مقالات | 83,560 |
تعداد مشاهده مقاله | 77,801,310 |
تعداد دریافت فایل اصل مقاله | 54,843,931 |
An Analytical algorithm of component-Based Heterogeneous Software Architectural Styles performance prediction | ||
Journal of Advances in Computer Research | ||
شناسنامه علمی شماره، دوره 5، شماره 3، آبان 2014، صفحه 85-100 اصل مقاله (251.44 K) | ||
نویسندگان | ||
Golnaz Aghaee Ghazvini1؛ Sima Emadi* 2 | ||
1Department of computer, dolatabad Branch, Islamic Azad University, Isfahan, Iran | ||
2Department of Computer, College of Engineering, Yazd Science and Research Branch, Islamic Azad University, Yazd, Iran | ||
چکیده | ||
With regard to the society’s need for complicated software and high level of expenses on its development, it is necessary to take all stakeholders’ requirements and the demands into consideration, before any investments and put on the design and utilization stages. Software architecture is a technical description of a software system that indicates components and their relationships between them. In fact architecture style is a set of principles used by a software architect to design software architecture. Nowadays, this is a common behavior among the software architects in designing any software. As “Performance” is the most important qualitative features chosen for the assessment, the main objective of this research is studying the effect of various styles on its non-functional requirements, using Markov model, so that the architect can choose a suitable style based on qualitative and precise criteria. In this paper with regards to the results obtained based on homogeneous style, an algorithm has been presented to generalize the assessment method for the heterogeneous styles. Finally, to represent the correctness of the proposed algorithm, an illustrative example has been presented. | ||
کلیدواژهها | ||
Software architecture؛ Markov model؛ Architectural styles؛ Performance attribute؛ homogeneous styles؛ Heterogeneous styles | ||
آمار تعداد مشاهده مقاله: 2,644 تعداد دریافت فایل اصل مقاله: 2,645 |