Using automated search to generate test data for matlab

TY - CHAP

T1 - Using automated search to generate test data for matlab

AU - Rhys, Sion Ll

AU - Poulding, Simon M.

AU - Clark, John A.

A2 - Rothlauf, Franz

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=72749097883&partnerID=8YFLogxK

U2 - 10.1145/1569901.1570128

DO - 10.1145/1569901.1570128

M3 - Chapter

SP - 1697

EP - 1704

BT - Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009

PB - ACM

ER -