Paper Info
Title
Specifying Requirements for Data Collection and Analysis in Data-Driven RE. A Research Preview
Abstract
[Context and motivation] According to Data-Driven Requirements Engineering (RE), explicit and implicit user feedback can be considered a relevant source of requirements, thus supporting requirements elicitation. [Question/problem] Less attention has been paid so far to the role of implicit feedback in RE tasks, such as requirements validation, and on how to specify what implicit feedback to collect and analyse. [Principal idea/results] We propose an approach that leverages on goal-oriented requirements modelling combined with Goal-Question-Metric. We explore the applicability of the approach on an industrial project in which a platform for online training has been adapted to realise a citizen information service that has been used by hundreds of people during the COVID-19 pandemic. [Contributions] Our contribution is twofold: (i) we present our approach towards a systematic definition of requirements for data collection and analysis, at support of software requirements validation and evolution; (ii) we discuss our ideas using concrete examples from an industrial case study and formulate a research question that will be addressed by conducting experiments as part of our research.
Year
DOI
Venue
2021
10.1007/978-3-030-73128-1_13
REQUIREMENTS ENGINEERING: FOUNDATION FOR SOFTWARE QUALITY (REFSQ 2021)
Keywords
DocType
Volume
Data-Driven Requirements Engineering, User feedback, Goal-Question-Metric, Goal-Oriented Requirements Analysis
Conference
12685
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Maurizio Astegher101.69
Paolo Busetta237130.50
Anna Perini3496.17
Angelo Susi4105783.69