Analyzing Web Search Strategy of Software Developers to Modify Source Codes
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 analyze...
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| Published in | IEICE Transactions on Information and Systems Vol. E105.D; no. 1; pp. 31 - 36 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Tokyo
The Institute of Electronics, Information and Communication Engineers
01.01.2022
Japan Science and Technology Agency |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0916-8532 1745-1361 |
| DOI | 10.1587/transinf.2021MPL0004 |
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| 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. |
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| AbstractList | 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. |
| ArticleNumber | 2021MPL0004 |
| Author | MATSUMOTO, Kenichi TSUNODA, Masateru NAKASAI, Keitaro |
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| References | [7] C. Sadowski, K. Stolee, and S. Elbaum, “How developers search for code: a case study,” Proc. Joint Meeting on Foundations of Software Engineering (ESEC/FSE), pp.191-201, 2015. 10.1145/2786805.2786855 [8] I. Salman, A. Misirli, and N. Juristo, “Are students representatives of professionals in software engineering experiments?,” Proc. International Conf. on Software Engineering (ICSE), pp.666-676, 2015. 10.1109/icse.2015.82 [9] S. Sim, M. Umarji, S. Ratanotayanon, and C. Lopes, “How Well Do Search Engines Support Code Retrieval on the Web?,” ACM Transactions on software Engineering and Methodology, vol.21, no.1, article 4, 2011. 10.1145/2063239.2063243 [11] X. Xia, L. Bao, D. Lo, P. Kochhar, A. Hassan, and Z. Xing, “What do developers search for on the web?,” Empirical Software Engineering, vol.22, no.6, pp.3149-3185, 2018. 10.1007/s10664-017-9514-4 [2] S. Bajracharya and C. Lopes, “Analyzing and mining a code search engine usage log,” Empirical Software Engineering, vol.17, no.4, pp.424-466, 2012. 10.1007/s10664-010-9144-6 [4] T. Mizuno, S. Nomura, A. Nozawa, H. Asano, and H. Ide, “Evaluation of the effect of intermittent mental work-load by nasal skin temperature,” IEICE Trans. Inf. & Syst., vol.J93-D, no.4, pp.535-543, 2010 (in Japanese). [6] M. Rahman, J. Barson, S. Paul, J. Kayani, F. Lois, S. Quezada, C. Parnin, K. Stolee, and B. Ray, “Evaluating how developers use general-purpose web-search for code retrieval,” Proc. International Conference on Mining Software Repositories (MSR), pp.465-475, 2018. 10.1145/3196398.3196425 [3] R. Gallardo-Valencia and S. Sim, “Information used and perceived usefulness in evaluating web source code search results,” Proc. CHI '11 Extended Abstracts on Human Factors in Computing Systems, pp.2323-2328, 2011. 10.1145/1979742.1979858 [5] T. Nakagawa, Y. Kamei, H. Uwano, A. Monden, and K. Matsumoto, “On measuring the difficulty of program comprehension based on cerebral blood flow,” Computer Software, vol.31, no.3, pp.270-276, 2014 (in Japanese). [10] Sword, Key Logger Free Edition, http://keylog.web.fc2.com/keyfree/keyfree.html [1] J. Bloch and N. Gafterj, Java Puzzlers: Traps, Pitfalls, and Corner Cases, Addison-Wesley Professional, 2005. 11 1 2 3 4 5 6 7 8 9 10 |
| References_xml | – reference: [7] C. Sadowski, K. Stolee, and S. Elbaum, “How developers search for code: a case study,” Proc. Joint Meeting on Foundations of Software Engineering (ESEC/FSE), pp.191-201, 2015. 10.1145/2786805.2786855 – reference: [9] S. Sim, M. Umarji, S. Ratanotayanon, and C. Lopes, “How Well Do Search Engines Support Code Retrieval on the Web?,” ACM Transactions on software Engineering and Methodology, vol.21, no.1, article 4, 2011. 10.1145/2063239.2063243 – reference: [4] T. Mizuno, S. Nomura, A. Nozawa, H. Asano, and H. Ide, “Evaluation of the effect of intermittent mental work-load by nasal skin temperature,” IEICE Trans. Inf. & Syst., vol.J93-D, no.4, pp.535-543, 2010 (in Japanese). – reference: [11] X. Xia, L. Bao, D. Lo, P. Kochhar, A. Hassan, and Z. Xing, “What do developers search for on the web?,” Empirical Software Engineering, vol.22, no.6, pp.3149-3185, 2018. 10.1007/s10664-017-9514-4 – reference: [6] M. Rahman, J. Barson, S. Paul, J. Kayani, F. Lois, S. Quezada, C. Parnin, K. Stolee, and B. Ray, “Evaluating how developers use general-purpose web-search for code retrieval,” Proc. International Conference on Mining Software Repositories (MSR), pp.465-475, 2018. 10.1145/3196398.3196425 – reference: [3] R. Gallardo-Valencia and S. Sim, “Information used and perceived usefulness in evaluating web source code search results,” Proc. CHI '11 Extended Abstracts on Human Factors in Computing Systems, pp.2323-2328, 2011. 10.1145/1979742.1979858 – reference: [8] I. Salman, A. Misirli, and N. Juristo, “Are students representatives of professionals in software engineering experiments?,” Proc. International Conf. on Software Engineering (ICSE), pp.666-676, 2015. 10.1109/icse.2015.82 – reference: [10] Sword, Key Logger Free Edition, http://keylog.web.fc2.com/keyfree/keyfree.html – reference: [1] J. Bloch and N. Gafterj, Java Puzzlers: Traps, Pitfalls, and Corner Cases, Addison-Wesley Professional, 2005. – reference: [2] S. Bajracharya and C. Lopes, “Analyzing and mining a code search engine usage log,” Empirical Software Engineering, vol.17, no.4, pp.424-466, 2012. 10.1007/s10664-010-9144-6 – reference: [5] T. Nakagawa, Y. Kamei, H. Uwano, A. Monden, and K. Matsumoto, “On measuring the difficulty of program comprehension based on cerebral blood flow,” Computer Software, vol.31, no.3, pp.270-276, 2014 (in Japanese). – ident: 6 doi: 10.1145/3196398.3196425 – ident: 9 doi: 10.1145/2063239.2063243 – ident: 5 – ident: 4 – ident: 1 – ident: 2 doi: 10.1007/s10664-010-9144-6 – ident: 7 doi: 10.1145/2786805.2786855 – ident: 8 doi: 10.1109/ICSE.2015.82 – ident: 11 doi: 10.1007/s10664-017-9514-4 – ident: 10 – ident: 3 doi: 10.1145/1979742.1979858 |
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| Title | Analyzing Web Search Strategy of Software Developers to Modify Source Codes |
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