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Przegląd publicznie dostępnych baz danych przedsięwzięć informatycznych

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A review of publicly available databases of software projects
Języki publikacji
PL
Abstrakty
EN
A set of reliable empirical data is often required for a scientific research. For many years in the software engineering domain such datasets were usually not easily publicly available. However, recently some repositories have been established and opened for public access. This paper focuses on the analysis of databases of software projects. I have analyzed such databases grouped in four major repositories: ISBSG, PROMISE, NASA and the databases based on Bugzilla. The contents are diverse among the databases: different parameters describing projects, different level of data granularity and different number of observations. Because of that there is no single database which could be used in each type of research analysis. Rather the aim of the research and the need for specific type of data determines which database could be used. A couple of possible types of analysis can be supported by these datasets: estimation of software size, effort and defects. A few of them allow the trade-off analysis between these factors. Some also contain data about the process and people quality. The comparison of the databases may be a useful tip when the choice of the database needs to be made.
Rocznik
Tom
Strony
107--120
Opis fizyczny
Bibliogr. 19 poz., tab.
Twórcy
  • zakład Inzynierii Oprogramowania, Wydział Nauk Ekonomicznych i Zarządzania, Uniwersytet Szczeciński, Szczecin, lukrad@wneiz.pl
Bibliografia
  • 1.Apache Software Foundation, ASF Bugzilla, 2007, http://issues.apache.org/bugzilla/ report, cgi.
  • 2.Boetticher G., Menzies T., Ostrand T., PROMISE Repository of Empirical Software Engineering Data, West Virginia University, Department of Computer Science, 2007, http://promisedata.org/repository.
  • 3.Bugzilla Gentoo, 2007, http://bugs.gentoo.org.
  • 4.Eclipse, Eclipse Bugs, 2007, https://bugs.eclipse.org/bugs.
  • 5.Fedora Bugzilla, 2007, https://bugzilla.redhat.com.
  • 6.Fenton N., Neil M., Marsh W., Hearty P., Radliński Ł., Krause P., Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction, Proc. 3rd Int. Workshop on Predictor Models in Software Engineering (May 20-26, 2007). International Conference on Software Engineering. IEEE Computer Society, Washington, DC, 2. http://dx.doi.org/10J 109/PROMISE.2007.11.
  • 7.GNOME Foundation, GNOME Bugzilla, 2007, http://bugzilla.gnome.org.
  • 8.ISBSG, Repository Data Release 10, International Software Benchmarking Standards Group 2007, www.isbsg.org.
  • 9.KDE e.V., KDE Bug Tracking System, 2007, http://bugs.kde.org.
  • 10.Mandriva Bugzilla, 2007, http://qa.mandriva.com.
  • 11.Mozilla.org, Bugzilla@Mozilla, 2007, https://bugzilla.mozilla.org.
  • 12.NASA, Bug Reporting System, Goddard Space Flight Center, NASA, 2007, http://itos.gsfc.nasa.gov/~bugzilla/report.cgi.
  • 13.Novell's Bugzilla, 2007, https://bugzilla.novell.com/index.cgi.
  • 14.OpenOfflce.org, OpenOffice.org Issues, 2007, http://qa.openoffice.org/issues/query.cgi.
  • 15.Radliński Ł., Fenton N., Marquez D., Hearty P., Empirical Analysis of Software Defect Types, Information Systems Architecture and Technology. Information Technology and Web Engineering: Models, Concepts & Challenges, Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 2007.
  • 16.Radliński L., Fenton N., Neil M, Marquez D., Modelling Prior Productivity and Defect Rates in a Causal Model for Software Project Risk Assessment, "Polish Journal of Environmental Studies" 2007, vol. 16, no. 4 A.
  • 17.The Linux Kernel Organisation, Inc., Kernel Bug Tracker, 2007, http://bugzilla.kernel. org/report.cgi.
  • 18.The Mozilla Organisation, Bugzilla Installation List, 2007, http://www.bugzilla.org/ installation-list.
  • 19.The Mozilla Organisation, Bugzilla, 2007, http://www.bugzilla.org.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS6-0028-0064
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