Selection of requirement elicitation techniques using laddering

Ja Hee Kim, Seung Mo Ham, Hwan Ju Cha, Kwang Kook Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Requirement elicitation is critical to the success of a project, but it is not known which techniques can identify the maximum requirement of the customer. Therefore, many researchers have proposed various requirement elicitation techniques and studied the pros and cons of these techniques. According to the results of these studies, there is no requirement elicitation technique that is optimal regardless of its environments, such as attributes of the project, elicitors, and stakeholders. In this paper, we analyze the cognitive structure of IT professionals based on the factors that actually affect the use of the requirement elicitation techniques using laddering. We also use various statistical techniques to examine the relationship between the attributes of the actual project and the requirement elicitation techniques.

Original languageEnglish
Title of host publication2017 4th International Conference on Systems and Informatics, ICSAI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1604-1609
Number of pages6
ISBN (Electronic)9781538611074
DOIs
StatePublished - 28 Jun 2017
Event4th International Conference on Systems and Informatics, ICSAI 2017 - Hangzhou, China
Duration: 11 Nov 201713 Nov 2017

Publication series

Name2017 4th International Conference on Systems and Informatics, ICSAI 2017
Volume2018-January

Conference

Conference4th International Conference on Systems and Informatics, ICSAI 2017
Country/TerritoryChina
CityHangzhou
Period11/11/1713/11/17

Keywords

  • decision tree
  • laddering
  • logistic regression model
  • requirement elicitation techniques

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