de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Thesis

Modeling Bug Reporter Reputation

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45228

Puzhay,  Dmytro
International Max Planck Research School, MPI for Informatics, Max Planck Society;

Locator
There are no locators available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Puzhay, D. (2009). Modeling Bug Reporter Reputation. Master Thesis, Universität des Saarlandes, Saarbrücken.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0027-BA88-7
Abstract
Tracking and resolving of software bugs are very important tasks for software developers and maintainers. Bug-tracking systems are tools which are widely used in open source projects to support these activities. The empirical Software Engineering research community pays considerable attention to bug-tracking-related topics in order to provide bug-tracking systems users with adequate software and tool support. Bug-tracking is a highly socialized process which requires constant communication between developers and bug reporters. However, the inherent social structure of bug tracking systems and its influence on everyday bug-tracking has earlier been poorly studied. In this work I address the role of bug reporter reputation. Using publicly available information from bug-tracking system database, I model bug reporter reputation to check whether there is any evidence of relation between reporter reputation and attention from developers his bugs get. If reputation actually plays important role in bug-tracking activities and can relatively easily be extracted, existing prediction techniques could potentially be improved by using reputation as additional input variable; bug-tracking software could be supported with more formal notion of reporter reputation.