Conflict characterization and Analysis of Non Functional Requirements: An experimental approach

Mairiza, D; Zowghi, D; Gervasi, V

Conflict characterization and Analysis of Non Functional Requirements: An experimental approach

Mairiza, D Zowghi, D

Gervasi, V

Permalink

Publication Type:: Conference Proceeding
Citation:: SoMeT 2013 - 12th IEEE International Conference on Intelligent Software Methodologies, Tools and Techniques, Proceedings, 2013, pp. 83 - 91
Issue Date:: 2013-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (924.26 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Mairiza, D	en_US
dc.contributor.author	Zowghi, D https://orcid.org/0000-0002-6051-0155	en_US
dc.contributor.author	Gervasi, V	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	SoMeT 2013 - 12th IEEE International Conference on Intelligent Software Methodologies, Tools and Techniques, Proceedings, 2013, pp. 83 - 91	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27522
dc.description.abstract	Prior studies reveal that conflicts among Non Functional Requirements (NFRs) are not always absolute. They can also be relative depending on the context of the system being developed. Given that existing techniques to manage the NFRs conflicts are mainly focused on cataloguing the interrelationships among various types of NFRs, hence a technique to manage the NFRs conflicts with respect to NFRs relative characteristic is needed. This paper presents a novel framework to manage the conflicts among NFRs with respect to NFRs relative characteristic. By applying an experimental approach, the quantitative evidence of NFRs conflicts will be obtained and modeled. NFRs metrics and measures will be used in the experiments as parameters to generate the quantitative evidence. This evidence can then allow developers to identify and reason about the NFRs conflicts. We also provide an example of how this framework could be applied. © 2013 IEEE.	en_US
dc.relation.ispartof	SoMeT 2013 - 12th IEEE International Conference on Intelligent Software Methodologies, Tools and Techniques, Proceedings	en_US
dc.relation.isbasedon	10.1109/SoMeT.2013.6645645	en_US
dc.title	Conflict characterization and Analysis of Non Functional Requirements: An experimental approach	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
dc.location.activity	Budapest	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Graduate Research School
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
pubs.organisational-group	/University of Technology Sydney/Strength - STEM Education Futures
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

Prior studies reveal that conflicts among Non Functional Requirements (NFRs) are not always absolute. They can also be relative depending on the context of the system being developed. Given that existing techniques to manage the NFRs conflicts are mainly focused on cataloguing the interrelationships among various types of NFRs, hence a technique to manage the NFRs conflicts with respect to NFRs relative characteristic is needed. This paper presents a novel framework to manage the conflicts among NFRs with respect to NFRs relative characteristic. By applying an experimental approach, the quantitative evidence of NFRs conflicts will be obtained and modeled. NFRs metrics and measures will be used in the experiments as parameters to generate the quantitative evidence. This evidence can then allow developers to identify and reason about the NFRs conflicts. We also provide an example of how this framework could be applied. © 2013 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/27522