@misc{10498/25795,
year = {2021},
url = {http://hdl.handle.net/10498/25795},
abstract = {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.},
organization = {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},
publisher = {IEEE Xplore},
keywords = {software testing},
keywords = {interactive search-based software engineering},
keywords = {test generation},
keywords = {mutation testing},
title = {Interactivity in the Generation of Test Cases with Evolutionary Computation},
doi = {10.1109/CEC45853.2021.9504786},
author = {Ramírez, Aurora and Delgado Pérez, Pedro and Valle Gómez, Kevin Jesús and Medina Bulo, María Inmaculada and Romero, J. R.},
}