Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2009 2nd International Workshop on Managing Requirements Knowledge, MARK 2009 |
| Herausgeber (Verlag) | IEEE Computer Society |
| Seiten | 22-26 |
| Seitenumfang | 5 |
| ISBN (Print) | 9781424476947 |
| Publikationsstatus | Veröffentlicht - 2009 |
| Veranstaltung | 2nd International Workshop on Managing Requirements Knowledge, MARK 2009 - Atlanta, GA, USA / Vereinigte Staaten Dauer: 1 Sept. 2009 → 1 Sept. 2009 |
Publikationsreihe
| Name | 2009 2nd International Workshop on Managing Requirements Knowledge, MARK 2009 |
|---|
Abstract
IT ecosystems are ultra-large-scale software systems that consist of various, constantly interacting and partly autonomous subsystems as well as the users of the overall system. Because of their strong integration with everyday life, these systems are often not even perceived as IT systems by its users. This is a problem for requirements engineering, as users might not know of or may not be interested in the capabilities of the system at all. This hinders the ongoing development of the system and might prevent new kinds of utilization and new business models from being realized. By introducing rules into the infrastructure of IT ecosystems that are being monitored for adherence by agents interacting in the system, deviations from these rules can be harnessed for finding potential candidates for new or changed requirements. The deviations can be processed using techniques like data mining and pattern recognition and then forwarded to requirements engineers for review. They may then leverage these implicitly expressed requirements to identify actual changes in the needs of the users of the systems, enabling further advancements of the IT ecosystem.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Theoretische Informatik und Mathematik
- Informatik (insg.)
- Angewandte Informatik
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
2009 2nd International Workshop on Managing Requirements Knowledge, MARK 2009. IEEE Computer Society, 2009. S. 22-26 5457344 (2009 2nd International Workshop on Managing Requirements Knowledge, MARK 2009).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Utilizing rule deviations in IT ecosystems for implicit requirements elicitation
AU - Singer, Leif
AU - Brill, Olesia
AU - Meyer, Sebastian
AU - Schneider, Kurt
PY - 2009
Y1 - 2009
N2 - IT ecosystems are ultra-large-scale software systems that consist of various, constantly interacting and partly autonomous subsystems as well as the users of the overall system. Because of their strong integration with everyday life, these systems are often not even perceived as IT systems by its users. This is a problem for requirements engineering, as users might not know of or may not be interested in the capabilities of the system at all. This hinders the ongoing development of the system and might prevent new kinds of utilization and new business models from being realized. By introducing rules into the infrastructure of IT ecosystems that are being monitored for adherence by agents interacting in the system, deviations from these rules can be harnessed for finding potential candidates for new or changed requirements. The deviations can be processed using techniques like data mining and pattern recognition and then forwarded to requirements engineers for review. They may then leverage these implicitly expressed requirements to identify actual changes in the needs of the users of the systems, enabling further advancements of the IT ecosystem.
AB - IT ecosystems are ultra-large-scale software systems that consist of various, constantly interacting and partly autonomous subsystems as well as the users of the overall system. Because of their strong integration with everyday life, these systems are often not even perceived as IT systems by its users. This is a problem for requirements engineering, as users might not know of or may not be interested in the capabilities of the system at all. This hinders the ongoing development of the system and might prevent new kinds of utilization and new business models from being realized. By introducing rules into the infrastructure of IT ecosystems that are being monitored for adherence by agents interacting in the system, deviations from these rules can be harnessed for finding potential candidates for new or changed requirements. The deviations can be processed using techniques like data mining and pattern recognition and then forwarded to requirements engineers for review. They may then leverage these implicitly expressed requirements to identify actual changes in the needs of the users of the systems, enabling further advancements of the IT ecosystem.
UR - http://www.scopus.com/inward/record.url?scp=77953202430&partnerID=8YFLogxK
U2 - 10.1109/MARK.2009.14
DO - 10.1109/MARK.2009.14
M3 - Conference contribution
AN - SCOPUS:77953202430
SN - 9781424476947
T3 - 2009 2nd International Workshop on Managing Requirements Knowledge, MARK 2009
SP - 22
EP - 26
BT - 2009 2nd International Workshop on Managing Requirements Knowledge, MARK 2009
PB - IEEE Computer Society
T2 - 2nd International Workshop on Managing Requirements Knowledge, MARK 2009
Y2 - 1 September 2009 through 1 September 2009
ER -