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Authors: Luis F. de Lima ; Leticia M. Peres ; André R. A. Grégio and Fabiano Silva

Affiliation: Department of Informatics, Federal University of Paraná, Av. Cel. Francisco H. dos Santos, 100, Curitiba, PR, Brazil

Keyword(s): Software Testing, Artificial Intelligence Planning, AI Planning, Planning Technique.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 - ICSOFT; ISBN 978-989-758-443-5; ISSN 2184-2833, SciTePress, pages 152-159. DOI: 10.5220/0009829501520159

@conference{icsoft20,
author={Luis {F. de Lima}. and Leticia M. Peres. and André R. A. 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 - ICSOFT},
year={2020},
pages={152-159},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009829501520159},
isbn={978-989-758-443-5},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Software Technologies - ICSOFT
TI - A Systematic Literature Mapping of Artificial Intelligence Planning in Software Testing
SN - 978-989-758-443-5
IS - 2184-2833
AU - F. de Lima, L.
AU - Peres, L.
AU - Grégio, A.
AU - Silva, F.
PY - 2020
SP - 152
EP - 159
DO - 10.5220/0009829501520159
PB - SciTePress