Paper Abstract and Keywords |
Presentation |
2013-07-25 17:10
An Iterative Approach for Improving Feature Location and Identification Hiroshi Kazato (NTT DATA INTELLILINK CORPORATION), Shinpei Hayashi, Takashi Kobayashi (Tokyo Inst. of Tech.), Tsuyoshi Oshima, Shunsuke Miyata, Katsuyuki Natsukawa, Takashi Hoshino (NTT), Motoshi Saeki (Tokyo Inst. of Tech.) SS2013-22 KBSE2013-22 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Feature location (FL) is an activity of developers which identifies correspondence between software features and program elements in source code. Existing FL techniques assumes that developers adequately recognize features to be located and thus are not fully effective when their recognition is ambiguous. This paper proposes an iterative technique for refining both location and definition of features. Using a result of FL, the technique helps developers to update their recognition of features and improve the input of FL in the next iteration. An application example indicates the effectiveness of the approach. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Feature Location / Feature Identification / Formal Concept Analysis / Dynamic Analysis / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 159, SS2013-22, pp. 55-60, July 2013. |
Paper # |
SS2013-22 |
Date of Issue |
2013-07-18 (SS, KBSE) |
ISSN |
Print edition: ISSN 0913-5685 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) |
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SS2013-22 KBSE2013-22 |
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