TY  - GEN
T1  - Dynamic generation of test cases with metaheuristics
A1  - La Battaglia, Juan Pablo
A2  - Lanzarini, Laura Cristina
LA  - English
UL  - https://catalogo.bibliotecas.unlp.edu.ar/Record/dif.52432
AB  - The resolution of optimization problems is of great interest nowadays and has encouraged the development of various information technology methods to attempt solving them. There are several prob- lems related to Software Engineering that can be solved by using this approach. In this paper, a new alternative based on the combination of population metaheuristics with a Tabu List to solve the problem of test cases generation when testing software is presented. This problem is of great importance for the development of software with a high compu- tational cost and which is generally hard to solve. The performance of the solution proposed has been tested on a set of varying complexity programs. The results obtained show that the method proposed allows obtaining a reduced test data set in a suitable timeframe and with a greater coverage than conventional methods such as Random Method or Tabu Search.
NO  - Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
KW  - TESTEO
KW  - OPTIMIZACIÓN
KW  - ALGORITMOS EVOLUTIVOS
ER  -