UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at http://www.ucl.ac.uk/finance/research/post_award/post_award_contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Discovering requirements through goal-driven process mining
  • Publication Type:
    Conference
  • Authors:
    Dabrowski J, Kifetew FM, Muñante D, Letier E, Siena A, Susi A
  • Publication date:
    02/10/2017
  • Pagination:
    199, 203
  • Published proceedings:
    Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017
  • ISBN-13:
    9781538634882
  • Status:
    Published
Abstract
© 2017 IEEE. Software systems are designed to support their users in performing tasks that are parts of more general processes. Unfortunately, software designers often make invalid assumptions about the users' processes and therefore about the requirements to support such processes. Eliciting and validating such assumptions through manual means (e.g., through observations, interviews, and workshops) is expensive, time-consuming, and may fail to identify the users' real processes. Using process mining may reduce these problems by automating the monitoring and discovery of the actual processes followed by a crowd of users. The Crowd provides an opportunity to involve diverse groups of users to interact with a system and conduct their intended processes. This implicit feedback in the form of discovered processes can then be used to modify the existing system's functionalities and ensure whether or not a software product is used as initially designed. In addition, the analysis of user-system interactions may reveal lacking functionalities and quality issues. These ideas are illustrated on the GreenSoft personal energy management system.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Dept of Computer Science
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by