Towards Generation of Visual Attention Map for Source Code
| Autor: | Yuki Maruno, Hideaki Hata, Yoshiharu Ikutani, Takeshi Itoh, Kenichi Matsumoto, Kazushi Ikeda, Takatomi Kubo, Kiyoka Ikeda |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
FOS: Computer and information sciences
Source code Computer science business.industry Computer Science - Artificial Intelligence media_common.quotation_subject Program comprehension Software development Gaze Visualization Software Engineering (cs.SE) Comprehension Computer Science - Software Engineering Artificial Intelligence (cs.AI) Software Conceptual framework Human–computer interaction business media_common |
| Zdroj: | APSIPA |
| Popis: | Program comprehension is a dominant process in software development and maintenance. Experts are considered to comprehend the source code efficiently by directing their gaze, or attention, to important components in it. However, reflecting the importance of components is still a remaining issue in gaze behavior analysis for source code comprehension. Here we show a conceptual framework to compare the quantified importance of source code components with the gaze behavior of programmers. We use "attention" in attention models (e.g., code2vec) as the importance indices for source code components and evaluate programmers' gaze locations based on the quantified importance. In this report, we introduce the idea of our gaze behavior analysis using the attention map, and the results of a preliminary experiment. 4 pages, 2 figures; APSIPA 2019 ACCEPTED |
| Databáze: | OpenAIRE |
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