A Systematic Literature Mapping of Artificial Intelligence Planning in Software Testing
Luis F. de Lima, Leticia Peres, André Grégio, Fabiano Silva
2020
Abstract
Software testing is one of the most expensive software development processes. So, techniques to automate this process are fundamental to reduce software cost and development time. Artificial intelligence (AI) planning technique has been applied to automate part of the software testing process. We present in this paper a systematic literature mapping (SLM), using Petersen et al. (2015) approach of methods, techniques and tools regarding AI planning in software testing. Using the mapping, we identify 16 papers containing methods, techniques, frameworks and tools proposals, besides a survey. We identify testing techniques, testing phases, artifacts, AI planning techniques, AI planning tools, support tools, and generated plans in these selected papers. By mapping data analyses we identify a deficiency in the use of white-box and error-based testing techniques, besides the recent use of AI planning in security testing.
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in Harvard Style
F. de Lima L., Peres L., Grégio A. and Silva F. (2020). A Systematic Literature Mapping of Artificial Intelligence Planning in Software Testing.In Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-443-5, pages 152-159. DOI: 10.5220/0009829501520159
in Bibtex Style
@conference{icsoft20,
author={Luis F. de Lima and Leticia Peres and André Grégio and Fabiano Silva},
title={A Systematic Literature Mapping of Artificial Intelligence Planning in Software Testing},
booktitle={Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2020},
pages={152-159},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009829501520159},
isbn={978-989-758-443-5},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - A Systematic Literature Mapping of Artificial Intelligence Planning in Software Testing
SN - 978-989-758-443-5
AU - F. de Lima L.
AU - Peres L.
AU - Grégio A.
AU - Silva F.
PY - 2020
SP - 152
EP - 159
DO - 10.5220/0009829501520159