Automated Software Test Data Generation
IEEE Transactions on Software Engineering
Automated program flaw finding using simulated annealing
Proceedings of the 1998 ACM SIGSOFT international symposium on Software testing and analysis
Evolutionary testing of classes
ISSTA '04 Proceedings of the 2004 ACM SIGSOFT international symposium on Software testing and analysis
Search-based software test data generation: a survey: Research Articles
Software Testing, Verification & Reliability
The Definitive ANTLR Reference: Building Domain-Specific Languages
The Definitive ANTLR Reference: Building Domain-Specific Languages
The Current State and Future of Search Based Software Engineering
FOSE '07 2007 Future of Software Engineering
A multi-objective approach to search-based test data generation
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Automated Test Data Generation and Reliability Assessment for Software in High Assurance Systems
HASE '07 Proceedings of the 10th IEEE High Assurance Systems Engineering Symposium
Search based software testing of object-oriented containers
Information Sciences: an International Journal
A baseline method for search-based software engineering
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
| Hi-index | 0.00 |
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.