Dabrowski, J;
Kifetew, FM;
Munante, D;
Letier, E;
Siena, A;
Susi, A;
(2017)
Discovering Requirements through Goal-Driven Process Mining.
In:
2017 IEEE 25th International Requirements Engineering Conference Workshops (REW).
(pp. pp. 199-203).
IEEE
Preview |
Text
crowdre17.pdf - Accepted Version Download (149kB) | Preview |
Abstract
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.
| Type: | Proceedings paper |
|---|---|
| Title: | Discovering Requirements through Goal-Driven Process Mining |
| Event: | 25th IEEE International Requirements Engineering Conference Workshops (REW), 4-8 Sept. 2017, Lisbon, Portugal |
| Location: | Lisbon, PORTUGAL |
| Dates: | 04 September 2017 - 08 September 2017 |
| ISBN-13: | 9781538634882 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/REW.2017.61 |
| Publisher version: | https://doi.org/10.1109/REW.2017.61 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Data mining, Software systems, Object recognition, process mining, process validation, crowdsourcing, requirements engineering, goal orientation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10058920 |
Loading...
Loading...Loading...| 1. |  United States | 14 |
| 2. |  China | 11 |
| 3. |  Germany | 3 |
| 4. |  Israel | 2 |
| 5. |  Canada | 2 |
| 6. |  Iran, Islamic Republic of | 2 |
| 7. |  Indonesia | 1 |
| 8. |  Romania | 1 |
| 9. |  Sweden | 1 |
| 10. |  France | 1 |
Archive Staff Only
 |
View Item |
