Paper Abstract and Keywords |
Presentation |
2022-03-08 09:40
Experimental Evaluation of Inferring Software Description Using Project Corpus Kohei Terakawa, Chen Sinan, Masahide Nakamura (Kobe Univ.) SS2021-57 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Software developed in the past is gradually discontinued over time.However, the source code of such software contains a lot of information that can be reused and has high asset value, so understanding the characteristics of existing software can be utilized when developing new software.In a previous study, we proposed a method for inferring the outline of an existing system using a project corpus ($corpus_{Pj}$), and conducted preliminary experiments to verify its feasibility. The results are as follows. As a result, it was found that $corpus_{Pj}$ can be used to infer the purpose, function, and technology of a system.In this paper, we confirm the validity of $corpus_{Pj}$ from a viewpoint that has not been examined in previous studies.We set three verification items and conduct an experiment in which we use $corpus_{Pj}$ to infer the function of the system, the technology used in the system, and the outline of the system.From the results of the experiment, we confirmed that the guessing of the project depends on two factors: first, the $corpus_{Pj}$ correctly reflects the information of the system, and second, the respondents' knowledge of the words in the corpus. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Software Development / Technical debt / Upcycling / Corpus / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 416, SS2021-57, pp. 90-96, March 2022. |
Paper # |
SS2021-57 |
Date of Issue |
2022-02-28 (SS) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
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SS2021-57 |
Conference Information |
Committee |
SS |
Conference Date |
2022-03-07 - 2022-03-08 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Software Science etc. |
Paper Information |
Registration To |
SS |
Conference Code |
2022-03-SS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Experimental Evaluation of Inferring Software Description Using Project Corpus |
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Software Development |
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Technical debt |
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Upcycling |
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Corpus |
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1st Author's Name |
Kohei Terakawa |
1st Author's Affiliation |
Kobe University (Kobe Univ.) |
2nd Author's Name |
Chen Sinan |
2nd Author's Affiliation |
Kobe University (Kobe Univ.) |
3rd Author's Name |
Masahide Nakamura |
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Kobe University (Kobe Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-03-08 09:40:00 |
Presentation Time |
25 minutes |
Registration for |
SS |
Paper # |
SS2021-57 |
Volume (vol) |
vol.121 |
Number (no) |
no.416 |
Page |
pp.90-96 |
#Pages |
7 |
Date of Issue |
2022-02-28 (SS) |
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