The Community for Technology Leaders
2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE) (2017)
Urbana, IL, USA
Oct. 30, 2017 to Nov. 3, 2017
ISBN: 978-1-5386-3976-4
pp: 95-105
Matheus Paixao , University College London, United Kingdom
Jens Krinke , University College London, United Kingdom
DongGyun Han , University College London, United Kingdom
Chaiyong Ragkhitwetsagul , University College London, United Kingdom
Mark Harman , University College London, United Kingdom
ABSTRACT
Although considered one of the most important decisions in a software development lifecycle, empirical evidence on how developers perform and perceive architectural changes is still scarce. Given the large implications of architectural decisions, we do not know whether developers are aware of their changes' impact on the software's architecture, whether awareness leads to better changes, and whether automatically making developers aware would prevent degradation. Therefore, we use code review data of 4 open source systems to investigate the intent and awareness of developers when performing changes. We extracted 8,900 reviews for which the commits are available. 2,152 of the commits have changes in their computed architectural metrics, and 338 present significant changes to the architecture. We manually inspected all reviews for commits with significant changes and found that only in 38% of the time developers are discussing the impact of their changes on the architectural structure, suggesting a lack of awareness. Finally, we observed that developers tend to be more aware of the architectural impact of their changes when the architectural structure is improved, suggesting that developers should be automatically made aware when their changes degrade the architectural structure.
INDEX TERMS
Couplings, Computer architecture, Measurement, Java, History, Degradation, Software systems
CITATION

M. Paixao, J. Krinke, D. Han, C. Ragkhitwetsagul and M. Harman, "Are developers aware of the architectural impact of their changes?," 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), Urbana, IL, USA, 2017, pp. 95-105.
doi:10.1109/ASE.2017.8115622
99 ms
(Ver 3.3 (11022016))