RT conference output
T1 Interactivity in the Generation of Test Cases with Evolutionary Computation
A1 Ramírez, Aurora
A1 Delgado Pérez, Pedro
A1 Valle Gómez, Kevin Jesús
A1 Medina Bulo, María Inmaculada
A1 Romero, J. R.
A2 Ingeniería Informática
K1 software testing
K1 interactive search-based software engineering
K1 test generation
K1 mutation testing
AB Test generation is a costly but necessary testing activity to increase the quality of software projects. Automated testing tools based on evolutionary computation principles constitute an appealing modern approach to support testing tasks. However, these tools still find difficulties to detect certain types of plausible faults in real-world projects. Besides, recent studies have shown that, in general, automatically-generated tests do not resemble those manually written and, consequently, testers are reluctant to adopt them. We observe two key issues, namely the opacity of the process and the lack of cooperation with the tester, currently hampering the acceptance of automated results. Based on these findings, we explore in this paper how the interaction between current tools and expert testers would help address the test case generation problem. More specifically, we identify a number of interaction opportunities related to the object-oriented test case design driven to boost their readability and detection power. Using EvoSuite as base implementation, we present a proof of concept focused on the possibility to integrate readability assessment of the most promising test suites into a genetic algorithm.
PB IEEE Xplore
YR 2021
FD 2021
LK http://hdl.handle.net/10498/25795
UL http://hdl.handle.net/10498/25795
LA eng
NO Work partially funded by the European Commission (ERDF), the Spanish Ministry of Science, Innovation and Universities [RTI2018-093608-BC33 and RED2018-102472-T], the University of Cordoba (Plan Propio - mod. 2.4), and the University of Malaga
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-nov-2026