Empirical Analysis of Q&amp;A Websites and a Sustainable Solution to Ensure Water-Security

Gujral, Harshit; Sharma, Abhinav; Lal, Sangeeta

doi:10.1109/ic3.2018.8530615

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…Analysis of some questions in Topic 5 shows that questions in this topic are mainly related to log append issues. Example 5 Table 9 shows sample questions (SO-10738953 31 ), where a user is facing a problem with the log file that is printing data multiple times. In most questions belonging to Topic 6, the error was related to multiple log files.…”

Section: Resultsmentioning

confidence: 99%

“…indicating that the user is asking for help related to their logging issues. This topic is not about any specific logging issue; however, it shows 31 https://stackoverflow.com/questions/10738953/log-data-printing-multiple-times. 32 https://serverfault.com/questions/192134/bat-files-to-find-all-files-on-drive-bigger-than-x.…”

Section: Resultsmentioning

confidence: 99%

“…In addition, the authors analyze potential solutions proposed by the software developers to resolve these issues. Gujral et al 31 analyze water-related questions posted over environment-related Q&A websites to explore solutions to global water scarcity. Linares-V asquez et al 14 mine mobile-related questions from SO.…”

Section: Empirical Analysis Of Qanda Websitesmentioning

confidence: 99%

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An exploratory semantic analysis of logging questions

Gujral

Lal

2021

J Software Evolu Process

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Logging is an integral part of software development. Software practitioners often face issues in software logging, and they post these issues on Q&A websites to take suggestions from the experts. In this study, we perform a three-level empirical analysis of logging questions posted on six popular technical Q&A websites, namely, Stack Overflow (SO), Serverfault (SF), Superuser (SU), Database Administrators (DB), Software Engineering (SE), and Android Enthusiasts (AE). The findings show that logging issues are prevalent across various domains, for example, database, networks, and mobile computing, and software practitioners from different domains face different logging issues. The semantic analysis of logging questions using Latent Dirichlet Allocation (LDA) reveals trends of several existing and new logging topics, such as logging conversion pattern, Android device logging, and database logging. In addition, we observe specific logging topics for each website: DB (log shipping and log file growing/ shrinking), SU (event log and syslog configuration), SF (log analysis and syslog configuration), AE (app install and usage tracking), SE (client server logging and exception logging), and SO (log file creation/deletion, Android emulator logging, and logger class of Log4j).We obtain an increasing trend of logging topics on the SO, SU, and DB websites whereas a decreasing trend of logging topics on the SF website.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%