Title
Measurable & Scalable NFRs using Fuzzy Logic and Likert Scale
Abstract
Most of the research related to Non Functional Requirements (NFRs) have presented NFRs frameworks by integrating non functional requirements with functional requirements while we proposed that measurement of NFRs is possible e.g. cost and performance and NFR like usability can be scaled. Our novel hybrid approach integrates three things rather than two i.e. Functional Requirements (FRs), Measurable NFRs (M-NFRs) and Scalable NFRs (S-NFRs). We have also found the use of Fuzzy Logic and Likert Scale effective for handling of discretely measurable as well as scalable NFRs as these techniques can provide a simple way to arrive at a discrete or scalable NFR in contrast to vague, ambiguous, imprecise, noisy or missing NFR. Our approach can act as baseline for new NFR and aspect oriented frameworks by using all types of UML diagrams.
Year
Venue
Keywords
2009
Clinical Orthopaedics and Related Research
aspect oriented,software engineering,non functional requirement,functional requirement,fuzzy logic
Field
DocType
Volume
Functional requirement,Systems engineering,Unified Modeling Language,Aspect-oriented programming,Computer science,Fuzzy logic,Usability,Likert scale,Reliability engineering,Non-functional requirement,Scalability
Journal
abs/0906.5
ISSN
Citations 
PageRank 
IJCSIS June 2009 Issue, Vol. 2, No. 1
2
0.41
References 
Authors
7
5
Name
Order
Citations
PageRank
Nasir Mahmood Malik120.75
Arif Mushtaq231.18
Samina Khalid352.15
Tehmina Khalil471.84
Faisal Munir Malik520.75