Requirements elicitation is the activity in requirements engineering (RE) which focuses on the collection of information about requirements of the system-to-be and its environment. One important challenge is the so-called elicitation incompleteness; it occurs when information, which may have been relevant for requirements engineering, is not elicited. This may be due to various factors, such as that the requirements engineer asked no questions about it, and the stakeholders do not consider it important. To help requirements engineers reduce elicitation incompleteness, we propose the so-called Model of Elicitation Topic Relevance (METRe). METRe is a diagram that shows topics which can be discussed during requirements elicitation, and expresses the relative importance of each topic to stakeholders and engineers. The more likely it is that a stakeholder or engineer will discuss the topic spontaneously during elicitation, the more important it is for, respectively, stakeholders or engineers. METRe was made by combining our prior work on the importance of topics to stakeholders, and a new round of empirical research. The new round consisted of data collection using a survey, in which the various topics were presented and submitted to 50 IT-experts in Belgium. Subjects were asked to evaluate the relative importance of the topics, and how relevant they find these topics when eliciting information needed to define the requirements of a system.
|Title of host publication||Proceedings of the 9th IEEE International Conference on Research Challenges in Information Science (RCIS'15), Athens, Greece|
|Publisher||IEEE Computer Society Press|
|Number of pages||8|
|Publication status||Published - 19 Jun 2015|
|Event||9th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2015 - Athens, Greece|
Duration: 13 May 2015 → 15 May 2015
|Conference||9th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2015|
|Period||13/05/15 → 15/05/15|
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Essays on Information Elicitation for Decision Making in Systems Engineering : Improving Completeness of RequirementsAuthor: Burnay, C., 2 Mar 2016
Student thesis: Doc types › Doctor of Economics and Business Management