Title :
The effect of variability modeling on requirements satisfaction for the configuration and implementation of off-the-shelf software packages
Author :
Rubython, Amanda ; Maiden, Neil
Author_Institution :
City & Guilds Kineo, Brighton, UK
Abstract :
An industrial experience of the use of a method for discovering customer requirements with which to configure an off-the-shelf software package for implementation is reported. The method uses an adapted form of product variability model to provide common ground between the customer and supplier about requirements and capabilities. An associated decision support software tool guides the supplier and customer through a model-based walkthrough to discover new requirements, based on equivalent capabilities described in the product variability model. We applied the method in the work processes of the commercial provider of a software-based learning management system, and collected quantitative and qualitative data from supplier-customer interactions. Our first experiences with the method led to an increased exposure and expression of customer requirements in the customer-supplier dialogue, compared to the baseline dialogue during software package demonstrations. The paper also reports some first lessons learned to improve the method and adopt its use with other software supplier organizations.
Keywords :
computer aided instruction; decision support systems; software packages; customer requirement discovery; customer-supplier dialogue; decision support software tool; industrial experience; model-based walkthrough; off-the-shelf software packages; product variability model; requirements satisfaction; software supplier organizations; software-based learning management system; supplier-customer interactions; variability modeling; Adaptation models; Business; Software packages; Software tools; Terminology; Webinars; product variability modelling; requirements-led configurations; software packages; transcript analysis;
Conference_Titel :
Requirements Engineering Conference (RE), 2014 IEEE 22nd International
Conference_Location :
Karlskrona
Print_ISBN :
978-1-4799-3031-9
DOI :
10.1109/RE.2014.6912290