The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Os desenvolvedores de software costumam usar um mecanismo de pesquisa na web para melhorar a eficiência do trabalho. No entanto, as estratégias de pesquisa na Web (por exemplo, palavras-chave de pesquisa na Web que mudam frequentemente) podem ser diferentes para cada desenvolvedor. Neste estudo, tentamos definir uma melhor estratégia de pesquisa na web. Embora muitos estudos anteriores tenham analisado o comportamento de pesquisa na web em programação, eles não forneceram diretrizes para estratégias de pesquisa na web. Para sugerir diretrizes para estratégias de busca na web, fizemos quatro perguntas sobre programação a 10 sujeitos que eles deveriam resolver e analisamos seu comportamento. Na análise, focamos no tempo de tarefa dos sujeitos e nas métricas de busca na web por nós definidas. Com base em nosso experimento, para aumentar a eficácia da pesquisa, sugerimos (1) que não se deve passar pelas próximas páginas de resultados de pesquisa, (2) o número de palavras-chave nas consultas deve ser suprimido e (3) palavras-chave usadas anteriormente deve ser evitado ao criar uma nova consulta.
Keitaro NAKASAI
Nara Institute of Science and Technology
Masateru TSUNODA
Kindai University
Kenichi MATSUMOTO
Nara Institute of Science and Technology
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
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
Copiar
@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},}
Copiar
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 -