DocumentCode
257661
Title
Product knowledge configurator for requirements gap analysis and customizations
Author
Anish, Preethu Rose ; Ghaisas, Smita
Author_Institution
Tata Res. Dev. & Design Centre (TRDDC, Tata Consultancy Services, Pune, India
fYear
2014
fDate
25-29 Aug. 2014
Firstpage
437
Lastpage
443
Abstract
Product knowledge plays an important role in identifying the requirements of the desired variant and configuring the existing product to the present needs of a customer. The success of a product-based business depends to a great extent on how efficiently and accurately the existing product knowledge is utilized for customization needs. Oftentimes however, product knowledge resides with few key individuals in an organization. In the absence of their involvement, project teams may redevelop product features unnecessarily, resulting in an effort overhead. Such overdependence poses a risk to projects. To identify the requirements for the variants accurately and efficiently, we need to have a thorough knowledge of the existing product features. In this paper, we discuss our work on representing product knowledge and reusing it in a Requirements Engineering (RE) exercise for a large project involving product customization. We present our experience from using the configurator for requirements gap analysis and customizations.
Keywords
formal verification; knowledge based systems; marketing data processing; ontologies (artificial intelligence); product customisation; product customization; product knowledge configurator; product-based business; requirements engineering; requirements gap analysis; Companies; Europe; Insurance; Manuals; Ontologies; Configuring products; Financial product suite; Knowledge assisted configuration; Ontology; Product Line; Requirements configurator;
fLanguage
English
Publisher
ieee
Conference_Titel
Requirements Engineering Conference (RE), 2014 IEEE 22nd International
Conference_Location
Karlskrona
Print_ISBN
978-1-4799-3031-9
Type
conf
DOI
10.1109/RE.2014.6912295
Filename
6912295
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