Home // eKNOW 2016, The Eighth International Conference on Information, Process, and Knowledge Management // View article

ReSCU: A Trail Recommender Approach to Support Program Code Understanding

Authors:
Roy Oberhauser

Keywords: recommendation systems; intelligent tutoring systems; knowledge-based systems; program code comprehension; software engineering

Abstract:
Society is faced with an ever-increasing volume of computer program code that must be developed and maintained, exacerbated by a limited pool of trained human resources. Thus, effective and efficient automated tutor systems or recommenders for program comprehension are imperative. This paper introduces the Recommendation Service for Code Understanding (ReSCU), an approach that utilizes program code as a knowledgebase and automatically recommends a code trail to support effective and efficient human program code comprehension. Initial evaluation results with a prototype and an empirical study with obfuscated program code demonstrates its viability.

Pages: 112 to 118

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-472-5

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016