Pavlov's bugs: Matching repair policies with rewards

Phillip A. Laplante, Norita Ahmad

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A number of researchers make efforts to examine the nature of user bug reporting, tracking, assignment policy, reward systems, and make recommendations for selecting the right combinations for an organization. These researchers suggest that tools, such as open source Bugzilla detect-tracking system can be helpful in collecting and analyzing error reports. A more effective bug classification system is needed to reduce bug-report duplication and assist in error-assignment. It has been observed that each of the bug-repair assignment has specific advantages, disadvantages, and effects on customer or user perceptions. Random bug assignment is one of the approaches that distributes bug workload to maintainers and better predicts the time required to close bug reports. The clustering policy is another approach that groups errors by their behavior, aiming to reduce effort when related bugs have the same cause.

Original languageEnglish (US)
Article number5173038
Pages (from-to)45-51
Number of pages7
JournalIT Professional
Volume11
Issue number4
DOIs
StatePublished - Jul 1 2009

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All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Science Applications

Cite this

Laplante, Phillip A. ; Ahmad, Norita. / Pavlov's bugs : Matching repair policies with rewards. In: IT Professional. 2009 ; Vol. 11, No. 4. pp. 45-51.
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Pavlov's bugs : Matching repair policies with rewards. / Laplante, Phillip A.; Ahmad, Norita.

In: IT Professional, Vol. 11, No. 4, 5173038, 01.07.2009, p. 45-51.

Research output: Contribution to journalArticle

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