by Martin Monperrus and Anthony Maia
Abstract: Debugging is a resource-consuming activity of software development. Some bugs are deeply rooted in the domain logic but others are independent of the specificity of the application being debugged. The latter are "crowd-bugs": unexpected and incorrect output or behavior resulting from a common and intuitive usage of an API. On the contrary, project-specific bugs are related to the misunderstanding or incorrect implementation of domain concepts or logics. We propose a debugging approach for crowd bugs, that is based on matching the piece of code being debugged against related pieces of code on a Q&A website (Stackoverflow). Based on the empirical study of Stackoverflow's data, we show that this approach can help developers to fix crowd bugs.
Citations: [citations]
Cite it:
Martin Monperrus and Anthony Maia, "Debugging with the Crowd: a Debug Recommendation System based on Stackoverflow", Technical report, Université Lille 1 - Sciences et Technologies hal-00987395, 2014.
Debugging with the Crowd: a Debug Recommendation System based on Stackoverflow
https://hal.archives-ouvertes.fr/hal-00987395/file/article.pdf
https://hal.archives-ouvertes.fr/hal-00987395/file/article.pdf
[Debugging with the Crowd: a Debug Recommendation System based on Stackoverflow](https://hal.archives-ouvertes.fr/hal-00987395/file/article.pdf)
\href{https://hal.archives-ouvertes.fr/hal-00987395/file/article.pdf}{Debugging with the Crowd: a Debug Recommendation System based on Stackoverflow} % \cite{monperrus:hal-00987395}
Bibtex Entry:
@techreport{monperrus:hal-00987395, title = {Debugging with the Crowd: a Debug Recommendation System based on Stackoverflow}, author = {Monperrus, Martin and Maia, Anthony}, url = {https://hal.archives-ouvertes.fr/hal-00987395/file/article.pdf}, type = {Research Report}, number = {hal-00987395}, institution = {{Universit{\'e} Lille 1 - Sciences et Technologies}}, year = {2014}, }
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