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Analyzing Networks of Issue Reports

Borg, Markus (författare)
Lund University,Lunds universitet,Institutionen för datavetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Computer Science,Departments at LTH,Faculty of Engineering, LTH
Pfahl, Dietmar (författare)
Lund University,Lunds universitet,Institutionen för datavetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Computer Science,Departments at LTH,Faculty of Engineering, LTH
Runeson, Per (författare)
Lund University,Lunds universitet,Institutionen för datavetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Computer Science,Departments at LTH,Faculty of Engineering, LTH
 (creator_code:org_t)
2013
2013
Engelska 10 s.
Ingår i: [Host publication title missing]. - 1944-2793 .- 1534-5351. ; , s. 79-88
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • Completely analyzed and closed issue reports in software development projects, particularly in the development of safety-critical systems, often carry important information about issue-related change locations. These locations may be in the source code, as well as traces to test cases affected by the issue, and related design and requirements documents. In order to help developers analyze new issues, knowledge about issue clones and duplicates, as well as other relations between the new issue and existing issue reports would be useful. This paper analyses, in an exploratory study, issue reports contained in two Issue Management Systems (IMS) containing approximately 20.000 issue reports. The purpose of the analysis is to gain a better understanding of relationships between issue reports in IMSs. We found that link-mining explicit references can reveal complex networks of issue reports. Furthermore, we found that textual similarity analysis might have the potential to complement the explicitly signaled links by recommending additional relations. In line with work in other fields, links between software artifacts have a potential to improve search and navigation in large software engineering projects.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

information retrieval
link mining
safety development
impact analysis
issue reports

Publikations- och innehållstyp

kon (ämneskategori)
ref (ämneskategori)

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Borg, Markus
Pfahl, Dietmar
Runeson, Per
Om ämnet
NATURVETENSKAP
NATURVETENSKAP
och Data och informa ...
och Datavetenskap
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[Host publicatio ...
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Lunds universitet

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