A situational approach for the definition and tailoring of a data-driven software evolution method
Document typeConference report
Rights accessOpen Access
European Commission's projectSUPERSEDE - SUpporting evolution and adaptation of PERsonalized Software by Exploiting contextual Data and End-user feedback (EC-H2020-644018)
Successful software evolution heavily depends on the selection of the right features to be included in the next release. Such selection is difficult, and companies often report bad experiences about user acceptance. To overcome this challenge, there is an increasing number of approaches that propose intensive use of data to drive evolution. This trend has motivated the SUPERSEDE method, which proposes the collection and analysis of user feedback and monitoring data as the baseline to elicit and prioritize requirements, which are then used to plan the next release. However, every company may be interested in tailoring this method depending on factors like project size, scope, etc. In order to provide a systematic approach, we propose the use of Situational Method Engineering to describe SUPERSEDE and guide its tailoring to a particular context.
CitationFranch, X. [et al.]. A situational approach for the definition and tailoring of a data-driven software evolution method. A: International Conference on Advanced Information Systems Engineering. "Advanced Information Systems Engineering: 30th International Conference, CAiSE 2018: Tallinn, Estonia, June 11-15, 2018: proceedings". Berlín: Springer, 2018, p. 603-618.