eprintid: 2000
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/20/00
datestamp: 2023-11-09 15:50:10
lastmod: 2023-11-09 15:50:10
status_changed: 2023-11-09 15:41:48
type: article
metadata_visibility: show
creators_name: Fazal-E-Amin, 
creators_name: Mahmood, A.K.
creators_name: Oxley, A.
title: Metrics based variability assessment of code assets
ispublished: pub
keywords: Component-based software development; Human subjects; Implementation mechanisms; metrics; Open-source components; Potential benefits; Reusable components; Software assets; Software development methodologies; Software Product Line; variability implantation; Variability management, Computer software reusability; Software design, Open systems
note: cited By 0; Conference of 2nd International Conference on Software Engineering and Computer Systems, ICSECS 2011 ; Conference Date: 27 June 2011 Through 29 June 2011; Conference Code:85603
abstract: The potential benefits of software reuse motivate the use of component based software development and software product lines. In these software development methodologies software assets are being reused. Variability management is a tenet of software reuse. Variability is the capacity of software to satisfy variant requirements. Variability, being the central player in reuse and an important characteristic of reusable components, needs to be measured. In this paper we acknowledge this need and identify measures of variability. Variability implementation mechanisms are analyzed followed by metrics. The metrics are applied on open source component code and the results are validated by an experiment carried out with human subjects. © 2011 Springer-Verlag.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960364100&doi=10.1007%2f978-3-642-22203-0_6&partnerID=40&md5=c113445b648d7d8aff676a5bf242dd11
id_number: 10.1007/978-3-642-22203-0₆
full_text_status: none
publication: Communications in Computer and Information Science
volume: 181 CC
number: PART 3
place_of_pub: Kuantan
pagerange: 66-75
refereed: TRUE
isbn: 9783642222023
issn: 18650929
citation:   Fazal-E-Amin and Mahmood, A.K. and Oxley, A.  (2011) Metrics based variability assessment of code assets.  Communications in Computer and Information Science, 181 CC (PART 3).  pp. 66-75.  ISSN 18650929