Increasing product owners' cognition and decision-making capabilities by data analysis approach

被引:5
|
作者
Choras, Michal [1 ,2 ]
Kozik, Rafal [1 ]
Puchalski, Damian [2 ]
Renk, Rafal [2 ,3 ]
机构
[1] UTP Univ Sci & Technol, Inst Telecommun & Comp Sci, Bydgoszcz, Poland
[2] ITTI Sp Zoo, Poznan, Poland
[3] Adam Mickiewicz Univ, Fac Phys, PL-61614 Poznan, Poland
关键词
Software quality; Data analysis; Cognition and decision support; Product owner; Quamoco model; Product factors;
D O I
10.1007/s10111-018-0494-y
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:191 / 200
页数:10
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