This paper reports on an approach for systematically generating test data from production databases for end user calculated field program via a novel combination of symbolic execution and database queries. We also discuss the opportunities and challenges that this specific domain poses for symbolic execution and shows how database queries can help complement some of symbolic execution's weaknesses, namely in the treatment of loops and also of path conditions that exceed SMT solver capabilities.

The global throughput of an 802.11e WLAN is determined by EDCA (Enhanced Distributed Channel Access) parameters, among other aspects, that are usually configured with predetermined and static values. This study carefully evaluates the Quality of Service (QoS) of Wi-Fi with EDCA in several realistic scenarios with noise and a blend of wireless traffic (e.g., voice, video, and best effort, with Pareto distribution). The metrics of the benefits obtained in each case are compared, and the differentiated impact of network dynamics on each case is quantified. This study proposes a new experimental scenario based on the relative proportion of traffic present in the network. Stations have been implemented using HSANs (Hierarchical Stochastic Activity Networks) and simulated using the Möbius tool.