Visualising software developers' activity logs to facilitate explorative analysis

4Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

In this paper, we discuss whether data collected from monitoring software developers' logs can be considered big. We hypothesize that it falls within the category of Big Data. The main topic of our paper however, is how to facilitate analysis of such data. Due to the specificity of the monitored activity, the analysis is at least partially explorative in its nature. We hypothesize that visualisation can be a productive approach in such a case. We present several visualisation schemes (diagram types) and show those applied to explorative analysis of data gathered within one four year project that we have been participating in.

Cite

CITATION STYLE

APA

Kovarova, A., Konopka, M., Sekerak, L., & Navrat, P. (2016). Visualising software developers’ activity logs to facilitate explorative analysis. Acta Polytechnica Hungarica, 13(2), 159–178. https://doi.org/10.12700/aph.13.2.2016.2.9

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free