Abstract

An excellent software project can often identify quality attributes, expressed by the nonfunctional requirements. Quality attributes include modifiability, performance, availability, security, and so on. The nonfunctional requirements that address those quality attributes should be considered during the design phase. The quality attribute design approaches will be considered to achieve those requirements.

In this thesis, an architecture will be designed for a new social network data analysis system, is named Trowser, through several architectural approaches. Before starting the design phase, the source code of an existing social network analysis system, Gephi, is analyzed. The quality attribute design strategies are summarized from the analysis result and unite with the known design tactics to design the architecture of Trowser. The Architecture Tradeoff Analysis Method(ATAM) will be used for evaluating the quality of the architecture. Finding the good design strategies for social network data analysis system.

Library of Congress Subject Headings

Software architecture--Evaluation; Online social networks--Data processing; Online social networks--Evaluation

Publication Date

5-2016

Document Type

Thesis

Student Type

Graduate

Degree Name

Software Engineering (MS)

Department, Program, or Center

Software Engineering (GCCIS)

Advisor

Scott Hawker

Advisor/Committee Member

Christopher Homan

Advisor/Committee Member

Stephanie Ludi

Comments

Physical copy available from RIT's Wallace Library at HM742 .B34 2016

Campus

RIT – Main Campus

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