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Author: Roy Oberhauser

Affiliation: Aalen University, Germany

ISBN: 978-989-758-194-6

Keyword(s): Program Code Comprehension, Learning Models, Recommender Systems, Obfuscation.

Related Ontology Subjects/Areas/Topics: Software Engineering ; Software Engineering Methods and Techniques ; Software Testing and Maintenance

Abstract: With society's increasing utilization of (embedded) software, the amount of program source code is proliferating while the skilled human resources to maintain and evolve this code remain limited. Therefore, software tools are needed that can support and enhance program code comprehension. This paper focuses on program concept location and cognitive learning models, and contributes an automatic code trail generator approach called a Code Trail Recommender Agent Incorporating Learning models (C-TRAIL). Initial empirical results applying the prototype on obfuscated code show promise for improve program comprehension efficiency and effectiveness.

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Paper citation in several formats:
Oberhauser, R. (2016). C-TRAIL: A Program Comprehension Approach for Leveraging Learning Models in Automated Code Trail Generation.In Proceedings of the 11th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2016) ISBN 978-989-758-194-6, pages 177-185. DOI: 10.5220/0005974901770185

@conference{icsoft-ea16,
author={Roy Oberhauser.},
title={C-TRAIL: A Program Comprehension Approach for Leveraging Learning Models in Automated Code Trail Generation},
booktitle={Proceedings of the 11th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2016)},
year={2016},
pages={177-185},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005974901770185},
isbn={978-989-758-194-6},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2016)
TI - C-TRAIL: A Program Comprehension Approach for Leveraging Learning Models in Automated Code Trail Generation
SN - 978-989-758-194-6
AU - Oberhauser, R.
PY - 2016
SP - 177
EP - 185
DO - 10.5220/0005974901770185

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