Paper Type
short
Description
The shift from on-premise to cloud software has fundamentally changed the interactions between enterprise software vendors and their users. Where user involvement has traditionally been a challenge, increasingly large amounts of user input now allow for data-driven requirements engineering (RE). Research has paid little attention so far to the changes entailed by data-driven RE and addressed neither technical nor empirical perspectives of data-driven RE in enterprise software development. We aim to understand how the increasing availability of large amounts of user input impact RE in enterprise cloud software development. We provide a conceptualization of the newly available user input and how it changes traditional RE. We collect and analyze rich data from multiple product units at a leading enterprise software company and examine the integration of user input into RE; specifically requirements discovery, prioritization, experimentation, and specification. We thereby aim to contribute to non-normative and empirical work on RE.
Recommended Citation
Hoffmann, Philipp; Mateja, Deborah; Spohrer, Kai; and Heinzl, Armin, "Bridging the Vendor-User Gap in Enterprise Cloud Software Development through Data-Driven Requirements Engineering" (2019). ICIS 2019 Proceedings. 11.
https://aisel.aisnet.org/icis2019/is_development/is_development/11
Bridging the Vendor-User Gap in Enterprise Cloud Software Development through Data-Driven Requirements Engineering
The shift from on-premise to cloud software has fundamentally changed the interactions between enterprise software vendors and their users. Where user involvement has traditionally been a challenge, increasingly large amounts of user input now allow for data-driven requirements engineering (RE). Research has paid little attention so far to the changes entailed by data-driven RE and addressed neither technical nor empirical perspectives of data-driven RE in enterprise software development. We aim to understand how the increasing availability of large amounts of user input impact RE in enterprise cloud software development. We provide a conceptualization of the newly available user input and how it changes traditional RE. We collect and analyze rich data from multiple product units at a leading enterprise software company and examine the integration of user input into RE; specifically requirements discovery, prioritization, experimentation, and specification. We thereby aim to contribute to non-normative and empirical work on RE.