We're an international team of academic Software Engineering researchers 
investigating technical debt and debt annotation practices. Technical debt 
(also known as tech debt or code debt) describes what happens when 
development teams take actions to expedite the delivery of a piece of 
functionality or a project that later needs to be refactored. In other 
words, it’s the result of prioritizing speedy delivery over perfect code.

We aim to gather information on how you interpret the priority of source 
code fragments that contain technical debt. By participating in this 
experiment, you'll help us create a better understanding of technical debt 
annotation and management procedures. Your insights will be used to support 
the prioritization of maintenance activities in software systems. The 
survey will only take 10 to 15 minutes; you can find the study here (
https://tueapse.qualtrics.com/jfe/form/SV_39T0IWub1qC8cmy?Source=Google).

*Why do I believe this is relevant for this community?*

Previously, we also studied this specific community and this experiment is 
a continuation of work that has been published (See
 https://cassee.dev/files/satd-and-polarity.pdf 
<https://cassee.dev/files/satd-and-polarity.pdf>). Your responses will help 
us better understand technical debt, and allow us to design better tools 
for the management of Technical Debt. Thanks!

I greatly appreciate it if you could participate in the experiment.

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