most citedRoot cause prediction based on bug reports

13 citations · 13 across the 1 of their papers we have counts for

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cs.SE2021

Identifying non-natural language artifacts in bug reports

Thomas Hirsch, Birgit Hofer

Bug reports are a popular target for natural language processing (NLP). However, bug reports often contain artifacts such as code snippets, log outputs and stack traces. These arti…

cs.SE2021

What we can learn from how programmers debug their code

Thomas Hirsch, Birgit Hofer

Researchers have developed numerous debugging approaches to help programmers in the debugging process, but these approaches are rarely used in practice. In this paper, we investiga…

cs.SE202113 cited

Root cause prediction based on bug reports

Thomas Hirsch, Birgit Hofer

This paper proposes a supervised machine learning approach for predicting the root cause of a given bug report. Knowing the root cause of a bug can help developers in the debugging…

cs.SE2018

On the Refinement of Spreadsheet Smells by means of Structure Information

Patrick Koch, Birgit Hofer, Franz Wotawa

Spreadsheet users are often unaware of the risks imposed by poorly designed spreadsheets. One way to assess spreadsheet quality is to detect smells which attempt to identify parts…

cs.SE2018

Proceedings of the 5th International Workshop on Software Engineering Methods in Spreadsheets (SEMS'18)

Birgit Hofer, Jorge Mendes

Proceedings of the 5th International Workshop on Software Engineering Methods in Spreadsheets (SEMS'18), held on October 1st, 2018, in Lisbon, Portugal, and co-located with the 201…

cs.SE2018

Combining Spreadsheet Smells for Improved Fault Prediction

Patrick Koch, Konstantin Schekotihin, Dietmar Jannach +2

Spreadsheets are commonly used in organizations as a programming tool for business-related calculations and decision making. Since faults in spreadsheets can have severe business i…