IEICE TRANSACTIONS on Information
Analyzing Web Search Strategy of Software Developers to Modify Source Codes
Summary :
Software developers often use a web search engine to improve work efficiency. However, web search strategies (e.g., frequently changing web search keywords) may be different for each developer. In this study, we attempted to define a better web search strategy. Although many previous studies analyzed web search behavior in programming, they did not provide guidelines for web search strategies. To suggest guidelines for web search strategies, we asked 10 subjects four questions about programming which they had to solve, and analyzed their behavior. In the analysis, we focused on the subjects' task time and the web search metrics defined by us. Based on our experiment, to enhance the effectiveness of the search, we suggest (1) that one should not go through the next search result pages, (2) the number of keywords in queries should be suppressed, and (3) previously used keywords must be avoided when creating a new query.
- Publication
- IEICE TRANSACTIONS on Information Vol.E105-D No.1 pp.31-36
- Publication Date
- 2022/01/01
- Publicized
- 2021/10/29
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2021MPL0004
- Type of Manuscript
- Special Section LETTER (Special Section on Empirical Software Engineering)
- Category
Authors
Keitaro NAKASAI
Nara Institute of Science and Technology
Masateru TSUNODA
Kindai University
Kenichi MATSUMOTO
Nara Institute of Science and Technology
Keyword
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Keitaro NAKASAI, Masateru TSUNODA, Kenichi MATSUMOTO, "Analyzing Web Search Strategy of Software Developers to Modify Source Codes" in IEICE TRANSACTIONS on Information,
vol. E105-D, no. 1, pp. 31-36, January 2022, doi: 10.1587/transinf.2021MPL0004.
Abstract: Software developers often use a web search engine to improve work efficiency. However, web search strategies (e.g., frequently changing web search keywords) may be different for each developer. In this study, we attempted to define a better web search strategy. Although many previous studies analyzed web search behavior in programming, they did not provide guidelines for web search strategies. To suggest guidelines for web search strategies, we asked 10 subjects four questions about programming which they had to solve, and analyzed their behavior. In the analysis, we focused on the subjects' task time and the web search metrics defined by us. Based on our experiment, to enhance the effectiveness of the search, we suggest (1) that one should not go through the next search result pages, (2) the number of keywords in queries should be suppressed, and (3) previously used keywords must be avoided when creating a new query.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2021MPL0004/_p
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@ARTICLE{e105-d_1_31,
author={Keitaro NAKASAI, Masateru TSUNODA, Kenichi MATSUMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={Analyzing Web Search Strategy of Software Developers to Modify Source Codes},
year={2022},
volume={E105-D},
number={1},
pages={31-36},
abstract={Software developers often use a web search engine to improve work efficiency. However, web search strategies (e.g., frequently changing web search keywords) may be different for each developer. In this study, we attempted to define a better web search strategy. Although many previous studies analyzed web search behavior in programming, they did not provide guidelines for web search strategies. To suggest guidelines for web search strategies, we asked 10 subjects four questions about programming which they had to solve, and analyzed their behavior. In the analysis, we focused on the subjects' task time and the web search metrics defined by us. Based on our experiment, to enhance the effectiveness of the search, we suggest (1) that one should not go through the next search result pages, (2) the number of keywords in queries should be suppressed, and (3) previously used keywords must be avoided when creating a new query.},
keywords={},
doi={10.1587/transinf.2021MPL0004},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - Analyzing Web Search Strategy of Software Developers to Modify Source Codes
T2 - IEICE TRANSACTIONS on Information
SP - 31
EP - 36
AU - Keitaro NAKASAI
AU - Masateru TSUNODA
AU - Kenichi MATSUMOTO
PY - 2022
DO - 10.1587/transinf.2021MPL0004
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E105-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2022
AB - Software developers often use a web search engine to improve work efficiency. However, web search strategies (e.g., frequently changing web search keywords) may be different for each developer. In this study, we attempted to define a better web search strategy. Although many previous studies analyzed web search behavior in programming, they did not provide guidelines for web search strategies. To suggest guidelines for web search strategies, we asked 10 subjects four questions about programming which they had to solve, and analyzed their behavior. In the analysis, we focused on the subjects' task time and the web search metrics defined by us. Based on our experiment, to enhance the effectiveness of the search, we suggest (1) that one should not go through the next search result pages, (2) the number of keywords in queries should be suppressed, and (3) previously used keywords must be avoided when creating a new query.
ER -
English
