London software testing news UK


Search based software testing call for papers

Posted in conference,Software testing by testing in London on January 4, 2010

From cse.unl.edu

Search-based software testing is the use of random or directed search techniques (hill climbing, genetic algorithms etc.) to address problems in the software testing and verification and validation domain. There has been an explosion of activity in the search-based software testing field of late, particularly on test data generation. Recent work has also focused on other aspects such as model-based testing, real-time testing, interaction testing, testing of service-oriented architectures, test case prioritization and generation of whole tests (not only test data).

Researchers and practitioners are invited to submit full papers (10 pages) to the workshop, describing original research, experience or tools. We will also welcome extended abstracts (2 pages) with new results (that may not yet have empirical support), position papers or far-out ideas. Extended abstracts can also be written to describe testing problems for which we can find search-based solutions during the workshop. We will have a poster session where authors of extended abstracts get feedback, but we will also discuss relevant extended abstracts in the main session.

Papers should address a problem in the software testing and/or verification and validation domain and should approach the solution to the problem using a search strategy. Search-based techniques are taken to include (but are not limited to) random search, local search (i.e. hill climbing, simulated annealing etc.), evolutionary algorithms (i.e. genetic algorithms, evolution strategies, genetic programming), ant colony optimization and particle swarm optimization.

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