Paper Info
Title
Integrating runtime data with development data to monitor external quality - challenges from practice.
Abstract
The use of software analytics in software development companies has grown in the last years. Still, there is little support for such companies to obtain integrated insightful and actionable information at the right time. This research aims at exploring the integration of runtime and development data to analyze to what extent external quality is related to internal quality based on real project data. Over the course of more than three months, we collected and analyzed data of a software product following the CRISP-DM process. We studied the integration possibilities between runtime and development data, and implemented two integrations. The number of bugs found in code has a weak positive correlation with code quality measures and a moderate negative correlation with the number of rule violations found. Other types of correlations require more data cleaning and higher quality data for their exploration. During our study, several challenges to exploit data gathered both at runtime and during development were encountered. Lessons learned from integrating external and internal data in software projects may be useful for practitioners and researchers alike.
Year
DOI
Venue
2019
10.1145/3340495.3342752
SQUADE@ESEC/SIGSOFT FSE
Keywords
DocType
ISBN
Software quality, software runtime data, external quality, software analytics, CRISP-DM
Conference
978-1-4503-6857-5
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Aytaj Aghabayli100.34
Dietmar Pfahl21078106.14
Silverio Martínez-Fernández35515.08
Adam Trendowicz441.06