Utilizing rule deviations in IT ecosystems for implicit requirements elicitation

verfasst von: Leif Singer, Olesia Brill, Sebastian Meyer, Kurt Schneider
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.
Organisationseinheit(en): Fachgebiet Software Engineering
Typ: Aufsatz in Konferenzband
Seiten: 22-26
Anzahl der Seiten: 5
Publikationsdatum: 2009
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Theoretische Informatik und Mathematik, Angewandte Informatik
Elektronische Version(en): https://doi.org/10.1109/MARK.2009.14 (Zugang: Geschlossen)

BibTeX

@inproceedings{be063cebc1c4462ba32c98f6e6b9401f,
title = "Utilizing rule deviations in IT ecosystems for implicit requirements elicitation",
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.",
author = "Leif Singer and Olesia Brill and Sebastian Meyer and Kurt Schneider",
year = "2009",
doi = "10.1109/MARK.2009.14",
language = "English",
isbn = "9781424476947",
series = "2009 2nd International Workshop on Managing Requirements Knowledge, MARK 2009",
publisher = "IEEE Computer Society",
pages = "22--26",
booktitle = "2009 2nd International Workshop on Managing Requirements Knowledge, MARK 2009",
address = "United States",
note = "2nd International Workshop on Managing Requirements Knowledge, MARK 2009 ; Conference date: 01-09-2009 Through 01-09-2009",
}