Using automated search to generate test data for matlab

Sion Ll Rhys, Simon M. Poulding, John A. Clark, Franz Rothlauf (Editor)

Research output: Chapter in Book/Report/Conference proceedingChapter


The critical functionality of many software applications relies on code that performs mathematically complex computations. However, such code is often difficult to test owing to the compound datatypes used and complicated mathematical operations performed. This paper proposes the use of automated search as an efficient means of generating test data for this type of software. Taking Matlab as an example of widely-used mathematical software, a technical framework is described that extends previous work on search-based test data generation in order to handle matrix datatypes and associated relational operators. An empirical evaluation demonstrates the feasibility of this approach.
Original languageEnglish
Title of host publicationGenetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009
Number of pages8
Publication statusPublished - 2009

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