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Author: Ioana Şora

Affiliation: University Politehnica of Timisoara, Romania

ISBN: 978-989-758-100-7

Keyword(s): Reverse Engineering, Program Comprehension, Recommender System, Key Classes.

Related Ontology Subjects/Areas/Topics: Service-Oriented Software Engineering and Management ; Software Change and Configuration Management ; Software Engineering ; Software Process Improvement ; Software Quality Management

Abstract: Maintenance of complex software systems can be done by software engineers only after they understand well the existing code. Program comprehension is supported by documentation - either developer documentation or reverse engineered. What is most often missing is a short document providing the new user with useful information to start with - an executive summary. In this work we propose a tool to automatically extract such a summary, by identifying the most important classes of a system. Our approach relies on techniques of static analysis of dependencies and graph-based ranking. Experiments on a set of real systems show good results.

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Paper citation in several formats:
Şora I. (2015). Finding the Right Needles in Hay - Helping Program Comprehension of Large Software Systems.In Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-100-7, pages 129-140. DOI: 10.5220/0005465901290140

@conference{enase15,
author={Ioana Şora},
title={Finding the Right Needles in Hay - Helping Program Comprehension of Large Software Systems},
booktitle={Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2015},
pages={129-140},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005465901290140},
isbn={978-989-758-100-7},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Finding the Right Needles in Hay - Helping Program Comprehension of Large Software Systems
SN - 978-989-758-100-7
AU - Şora I.
PY - 2015
SP - 129
EP - 140
DO - 10.5220/0005465901290140

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