DocumentCode
629630
Title
A process framework for managing implicit requirements using analogy-based reasoning: Doctoral consortium paper
Author
Onyeka, Emebo
Author_Institution
Dept. of Comput. & Inf. Sci., Covenant Univ., Ota, Nigeria
fYear
2013
fDate
29-31 May 2013
Firstpage
1
Lastpage
5
Abstract
With regards to requirements elicitation, system requirements can be classified into two types - explicit (functional and non-functional) and implicit requirements. Explicit requirements are well-defined and clearly stated requirements that a system should execute while implicit requirements (IMR) are the hidden, unspoken, or assumed requirements that a system is expected to fulfill even though not explicitly elicited during requirements gathering. Most products have been rejected or have failed to meet user´s expectation because of unhandled IMR. This planned research will investigate how automated support can be provided for managing IMR within an organizational context, which is currently lacking in practice. This work proposes an approach that is based on a combination of three technologies, namely analogy-based reasoning, ontology, and natural language processing for managing IMR. The ability to discover unknown and un-elicited requirements will mitigate many risks that can adversely affect system architecture design and project cost.
Keywords
formal specification; inference mechanisms; natural language processing; ontologies (artificial intelligence); risk management; software architecture; analogy-based reasoning; assumed requirements; explicit requirements; hidden requirements; implicit requirements; natural language processing; nonfunctional requirements; ontology; organizational context; process framework; project cost; requirements elicitation; requirements gathering; risk mitigation; system architecture design; system requirements; unhandled IMR; unspoken requirements; user expectation; Cognition; Conferences; Ontologies; Organizations; Software engineering; Software systems; analogy-based reasoning; implicit requirement; natural language processing; ontology; requirement engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Research Challenges in Information Science (RCIS), 2013 IEEE Seventh International Conference on
Conference_Location
Paris
ISSN
2151-1349
Print_ISBN
978-1-4673-2912-5
Type
conf
DOI
10.1109/RCIS.2013.6577726
Filename
6577726
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