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Towards understanding the relation between citations and research quality in software engineering studies.

Jefferson Seide Molléri¹, Kai Petersen¹, Emilia Mendes¹

¹BTH - Blekinge Tekniska Högskola, Karlskrona, Sweden.

|December 15, 2018

Summary

Research quality, measured by rigor and relevance, impacts citation counts in software engineering studies. While rigor shows a link to citations, the scoring rubric needs refinement for consistent application and fair impact assessment.

Keywords:

Conditional inference tree Empirical software engineering Exploratory study Reporting of research Research practice Scientific impact

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Area of Science:

Software Engineering Research
Academic Impact Assessment

Background:

High research quality is crucial across disciplines.
Citations are a common metric for academic impact.
The relationship between research reporting quality and scientific impact remains unclear.

Purpose of the Study:

To assess the consistent application of a research quality scoring rubric in software engineering.
To explore the connection between research rigor, relevance, and citation counts.
To inform discussions on fairly acknowledging research contributions.

Main Methods:

Utilized backward snowball sampling to identify 718 software engineering studies.
Applied a scoring rubric to assess research rigor and relevance.
Employed cluster analysis and conditional inference trees to analyze data.

Main Results:

Rigor in research reporting was found to be significantly related to normalized citation counts.
Relevance did not show a significant relationship with citation counts.
Inconsistent application of the scoring rubric was observed, potentially due to its abstract nature.

Conclusions:

Rigor appears to be a key factor influencing scientific impact in software engineering.
The current scoring rubric requires refinement for improved consistency and clarity.
Further research is needed to fully understand and fairly measure the relationship between research quality and impact.