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
Link To Document :
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