An empirical study of reported bugs in server software with implications for automated bug diagnosis

Reproducing bug symptoms is a prerequisite for perform-ing automatic bug diagnosis. Do bugs have characteristics that ease or hinder automatic bug diagnosis? In this pa-per, we conduct a thorough empirical study of several key characteristics of bugs that affect reproducibility at the pro-duction site. We examine randomly selected bug reports of six server applications and consider their implications on automatic bug diagnosis tools. Our results are promising. From the study, we find that nearly 82 % of bug symptoms can be reproduced deterministically by re-running with the same set of inputs at the production site. We further find that very few input requests are needed to reproduce most failures; in fact, just one input request after session estab-lishment suffices to reproduce the failure in nearly 77 % of the cases. We describe the implications of the results on repro-ducing software failures and designing automated diagnosis tools for production runs