Paper Info
Title
Increasing product owners’ cognition and decision-making capabilities by data analysis approach
Abstract
In this paper, we focus on the innovative advanced data analysis dedicated for product owners in software development teams. The goal of our novel solutions is to increase cognition and decision making in rapid software development process. The major contribution of this work is the methodology and the tool that gathers the input raw data from the tools such as GitLab or SonarQube, and processes the data further (e.g., using Apache Kafka, Kibana, and Spark) to calculate and visualize more advanced metrics, product factors (e.g., in accordance to Quamoco model), and indicators, and to find correlations between them. Then, such high-level data are shown to product owners to increase their cognition, situational awareness, and decision-making capabilities. We have now implemented the proof-of-concept system which was positively validated by product owners using the real data from their projects.
Year
DOI
Venue
2019
10.1007/s10111-018-0494-y
Cognition, Technology & Work
Keywords
Field
DocType
Software quality,Data analysis,Cognition and decision support,Product owner,Quamoco model,Product factors
Spark (mathematics),Situation awareness,Knowledge management,Raw data,Software development process,Engineering,Cognition,Software quality,Software development
Journal
Volume
Issue
ISSN
21.0
2
1435-5566
Citations 
PageRank 
References 
0
0.34
15
Authors
4
Name
Order
Citations
PageRank
Michał Choraś112918.82
Rafal Kozik210333.35
Damian Puchalski382.00
Rafal Renk4135.53