Is Knowledge Power? The Role of Knowledge in Automated Requirements Elicitation

Meth, Hendrik ; Maedche, Alexander ; Einöder, Maximilian

Document Type: Conference or workshop publication
Year of publication: 2013
Book title: Advanced Information Systems Engineering : 25th International Conference, CAiSE 2013, Valencia, Spain, June 17-21, 2013. Proceedings
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 7908
Page range: 578-593
Date of the conference: June 17-21, 2013
Publisher: Salinesi, Camille
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISBN: 978-3-642-38708-1 , 978-3-642-38709-8
ISSN: 0302-9743 , 1611-3349
Publication language: English
Institution: Business School > Wirtschaftsinformatik IV (Mädche 2009-2015)
Subject: 330 Economics
Abstract: 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.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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