Paper Info
Title
Does Socio-Technical Congruence Have an Effect on Continuous Integration Build Failures? An Empirical Study on 10 GitHub Projects
Abstract
Coordination is important in software development. Socio-Technical Congruence (STC) is proposed to measure the match between coordination requirements and actual coordination activities, and has been proved to have impact on software failures in commercial projects. Continuous defect prediction is aimed to predict defects just in time, which is more meaningful than traditional defect prediction in practice. In this paper, we compute the build-level STC and investigate its usefulness in continuous defect prediction based on 10 GitHub projects. We find that adding STC metrics into logistic regression models can significantly improve both the explanatory power and the predictive power when predicting build failures. Furthermore, we compare the performance of STC and MDL from the aspects of regression and prediction. MDL is short for Missing Developer Links, a deviation of the STC metric. We find that MDL usually performs better than STC. Our work is promising to help detect coordination issues during real time process of software development.
Year
DOI
Venue
2018
10.1109/QRS.2018.00046
2018 IEEE International Conference on Software Quality, Reliability and Security (QRS)
Keywords
Field
DocType
socio-technical congruence,coordination breakdown,software quality,continuous integration,defect prediction
Predictive power,Task analysis,Computer science,Server,Explanatory power,Software,Artificial intelligence,Software quality,Machine learning,Empirical research,Software development
Conference
ISBN
Citations 
PageRank 
978-1-5386-7758-2
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Weiqiang Zhang1272.68
Zhenyu Chen263457.65
Bin Luo36621.04