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A dynamic shortest-path algorithm is called a batch algorithm if it is able to handle graph changes that consist of multiple edge updates at a time. In this paper we focus on fully-dynamic batch algorithms for single-source shortest paths in directed graphs with positive edge weights. We give an extensive experimental study of the existing algorithms for the single-edge and the batch case, including a broad set of test instances. We further present tuned variants of the already existing SWSF-FP -algorithm being up to 15 times faster than SWSF-FP . A surprising outcome of the paper is the astonishing level of data dependency of the algorithms. More detailed descriptions and further experimental results of this work can be found in [1].

Batch Dynamic Single-Source Shortest-Path Algorithms: An Experimental Study