An Evolving Model of Software Bug Reports

We model software bug reports as a topological network called reporter network. By statistical analysis we And that the reporter network displays a number of features (scale-free, small-world, and etc.) shared by other complex networks. In order to understand the origins of these features, an evolving complex network model is proposed for the first time. The experimental results show that the model is able to reproduce many of statistical properties of the reporter network. Moreover, the scaling exponents of power-law distribution are calculated analytically. The calculation results agree well with simulation results.