The DARPA knowledge sharing effort: progress report
Readings in agents
Modern Information Retrieval
AbstFinder, A Prototype Natural Language Text Abstraction Finder for Use in Requirements Elicitation
Automated Software Engineering
Metatools for Knowledge Acquisition
IEEE Software
CommonKADS: A Comprehensive Methodology for KBS Development
IEEE Expert: Intelligent Systems and Their Applications
Knowledge Processes and Ontologies
IEEE Intelligent Systems
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Processing natural language requirements
ASE '97 Proceedings of the 12th international conference on Automated software engineering (formerly: KBSE)
Natural Language Engineering
Knowledge Management in Software Engineering - Describing the Process
ASWEC '04 Proceedings of the 2004 Australian Software Engineering Conference
Market research for requirements analysis using linguistic tools
Requirements Engineering
Text mining for software engineering: how analyst feedback impacts final results
MSR '05 Proceedings of the 2005 international workshop on Mining software repositories
On the Systematic Analysis of Natural Language Requirements with CIRCE
Automated Software Engineering
Harvesting social knowledge from folksonomies
Proceedings of the seventeenth conference on Hypertext and hypermedia
Using Domain Ontology as Domain Knowledge for Requirements Elicitation
RE '06 Proceedings of the 14th IEEE International Requirements Engineering Conference
Mastering the Requirements Process (2nd Edition)
Mastering the Requirements Process (2nd Edition)
Interaction Design: Beyond Human Computer Interaction
Interaction Design: Beyond Human Computer Interaction
Automated classification of non-functional requirements
Requirements Engineering
Toward a Theory of Knowledge Reuse: Types of Knowledge Reuse Situations and Factors in Reuse Success
Journal of Management Information Systems
Information and Software Technology
EA-Miner: towards automation in aspect-oriented requirements engineering
Transactions on aspect-oriented software development III
The social bookmark and publication management system bibsonomy
The VLDB Journal — The International Journal on Very Large Data Bases
Relevance-based abstraction identification: technique and evaluation
Requirements Engineering - Special Issue on Best Papers of RE'10: Requirements Engineering in a Multi-faceted World
The case for dumb requirements engineering tools
REFSQ'12 Proceedings of the 18th international conference on Requirements Engineering: foundation for software quality
Exploring design principles of task elicitation systems for unrestricted natural language documents
Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems
Mining textual requirements to assist architectural software design: a state of the art review
Artificial Intelligence Review
Breaking the Knowledge Acquisition Bottleneck Through Conversational Knowledge Management
Information Resources Management Journal
Journal of Management Information Systems
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In large IS development projects a huge number of unstructured text documents become available and need to be analyzed and transformed into structured requirements. This elicitation process is known to be time-consuming and error-prone when performed manually by a requirements engineer. Thus, previous works have proposed to automate the process through alternative algorithms using different forms of knowledge. While the effectiveness of different algorithms has been intensively researched, limited efforts have been paid to investigate how the algorithms' outcomes are determined by the utilized knowledge. Our work explores how the amount and type of knowledge affects requirements elicitation quality in two consecutive simulations. The study is based on a requirements elicitation system that has been developed as part of our previous work. We intend to contribute to the body of knowledge by outlining how the provided amount and type of knowledge determine the outcomes of automatic requirements elicitation.