Title
FAME: Supporting Continuous Requirements Elicitation by Combining User Feedback and Monitoring
Abstract
Context: Software evolution ensures that software systems in use stay up to date and provide value for end-users. However, it is challenging for requirements engineers to continuously elicit needs for systems used by heterogeneous end-users who are out of organisational reach. Objective: We aim at supporting continuous requirements elicitation by combining user feedback and usage monitoring. Online feedback mechanisms enable end-users to remotely communicate problems, experiences, and opinions, while monitoring provides valuable information about runtime events. It is argued that bringing both information sources together can help requirements engineers to understand end-user needs better. Method/Tool: We present FAME, a framework for the combined and simultaneous collection of feedback and monitoring data in web and mobile contexts to support continuous requirements elicitation. In addition to a detailed discussion of our technical solution, we present the first evidence that FAME can be successfully introduced in real-world contexts. Therefore, we deployed FAME in a web application of a German small and medium-sized enterprise (SME) to collect user feedback and usage data. Results/Conclusion: Our results suggest that FAME not only can be successfully used in industrial environments but that bringing feedback and monitoring data together helps the SME to improve their understanding of end-user needs, ultimately supporting continuous requirements elicitation.
Year
DOI
Venue
2018
10.1109/RE.2018.00030
2018 IEEE 26th International Requirements Engineering Conference (RE)
Keywords
Field
DocType
Feedback gathering, usage monitoring, requirements, user involvement, feedback acquisition, data collection, requirements elicitation, software evolution, user feedback
Ontology (information science),Data collection,Systems engineering,Software engineering,Computer science,Requirements engineering,Requirements elicitation,Software system,Web application,Usage data,Software evolution
Conference
ISSN
ISBN
Citations 
1090-705X
978-1-5386-7419-2
9
PageRank 
References 
Authors
0.61
19
10
Name
Order
Citations
PageRank
Marc Oriol113212.52
Melanie Janina Christine Stade2636.05
Farnaz Fotrousi3386.64
Sergi Nadal4325.55
Jovan Varga5244.62
Norbert Seyff645249.95
Alberto Abelló784861.88
Xavier Franch81627194.38
Jordi Marco916718.90
Oleg Schmidt1090.61