• DocumentCode
    713915
  • Title

    Towards a Model of Topic Relevance during requirements elicitation - Preliminary results

  • Author

    Burnay, Corentin ; Jureta, Ivan ; Faulkner, Stephane

  • Author_Institution
    Fonds de la Rech. Sci., Brussels, Belgium
  • fYear
    2015
  • fDate
    13-15 May 2015
  • Firstpage
    151
  • Lastpage
    158
  • Abstract
    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 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 did 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 to and evaluated by 50 IT-experts in Belgium. Subjects were asked to evaluate the relative importance of the topics, that is, how relevant they find these topics when eliciting information, and how pro-active they would be in collecting them.
  • Keywords
    formal specification; formal verification; management information systems; systems analysis; METRe; elicitation incompleteness; model of elicitation topic relevance; requirements elicitation; requirements engineering; Companies; Context; Data collection; Data models; Interviews; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research Challenges in Information Science (RCIS), 2015 IEEE 9th International Conference on
  • Conference_Location
    Athens
  • Type

    conf

  • DOI
    10.1109/RCIS.2015.7128875
  • Filename
    7128875