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[1]
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Michael Hahsler and Stefan Koch.
Discussion of a large-scale open source data collection methodology.
In 38th Annual Hawaii International Conference on System Sciences (HICSS'05), January 3--6, 2005 Hilton Waikoloa Village, Big Island, Hawaii. IEEE Computer Society Press, 2005.
[ preprint (PDF) |
at the publisher ]
In this paper we discusses in detail a possible methodology for collecting
repository data on a large number of open source software projects
from a single project hosting and community site. The process of
data retrieval is described along with the possible metrics that
can be computed and which can be used for further analyses. Example
research areas to be addressed with the available data and first
results are given. Then, both advantages and disadvantages of the
proposed methodology are discussed together with implications for
future approaches.
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[2]
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Michael Hahsler.
A quantitative study of the adoption of design patterns by open source software developers.
In S. Koch, editor, Free/Open Source Software Development, pages 103--123. Idea Group Publishing, 2005.
[ preprint (PDF) |
at the publisher ]
Several successful projects (Linux, Free-BSD, BIND, Apache, etc.)
showed that the collaborative and self-organizing process of developing
open source software produces reliable, high quality software. Without
doubt, the open source software development process differs in many
ways from the traditional development process in a commercial environment.
An interesting research question is how these differences influence
the adoption of traditional software engineering practices. In this
chapter we investigate how design patterns, a widely accepted software
engineering practice, are adopted by open source developers for documenting
changes. We analyze the development process of almost 1,000 open
source software projects using version control information and explore
differences in pattern adoption using characteristics of projects
and developers. By analyzing these differences we provide evidence
that design patterns are an important practice in open source projects
and that there exist significant differences between developers who
use design patterns and who do not.
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[3]
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Michael Hahsler and Stefan Koch.
Cooperation and disruptive behaviour - learning from a multi-player internet gaming community.
In Piet Kommers, Pedro Isaias, and Miguel Baptista Nunes, editors, IADIS International Conference Web Based Communities 2004, Lisbon, Portugal, 24--26 March 2004, pages 35--42. International Association for Development of the Information Society (IADIS), 2004.
[ preprint (PDF) ]
In this paper we report possibilities and experiences from employing
Counter-Strike, a popular multi-player Internet computer game and
its resulting online community in research on cooperative behaviour.
Advantages from using this game include easy availability of rich
data, the emphasis on team-playing, as well as numerous possibilities
to change the experiment settings. We use descriptive game theory
and statistical methods to explore cooperation within the game as
well as the way the player community deals with disruptive behaviour.
After a quick introduction to the basic rules of Counter-Strike,
we describe the setup of the Internet game server used. We then present
empirical results from the game server logs where cooperation within
the game is analyzed from a game theoretic perspective. Finally we
discuss the applications of our results to other online communities,
including cooperation and self-regulation in open source teams.
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[4]
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Andreas Geyer-Schulz and Michael Hahsler.
Software reuse with analysis patterns.
In Proceedings of the 8th AMCIS, pages 1156--1165, Dallas, TX, August 2002. Association for Information Systems.
[ preprint (PDF) ]
The purpose of this article is to promote reuse of domain knowledge
by introducing patterns already in the analysis phase of the software
life-cycle. We propose an outline template for analysis patterns
that strongly supports the whole analysis process from the requirements
analysis to the analysis model and further on to its transformation
into a flexible and reusable design and implementation. As an example
we develop a family of analysis patterns in this paper that deal
with a series of pressing problems in cooperative work, collaborative
information filtering and sharing, and knowledge management. We evaluate
the reuse potential of these patterns by analyzing several components
of an information system, that was developed for the Virtual University
project of the Vienna University of Economics and Business Administration.
The findings of this analysis suggest that using patterns in the
analysis phase has the potential to reducing development time significantly
by introducing reuse already at the analysis stage and by improving
the interface between analysis and design phase.
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[5]
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Michael Hahsler.
Analyse Patterns im Softwareentwicklungsprozeß mit Beispielen für Informationsmanagement und deren Anwendungen für die Virtuellen Universität der Wirtschaftsuniversität Wien.
Dissertation, Wirtschaftsuniversität Wien, Augasse 2--6, A 1090 Wien, Österreich, January 2001.
[ preprint (PDF) |
at the publisher ]
Diese Arbeit beschäftigt sich mit Analyse Patterns, der Anwendung
von Patterns in der Analysephase der Softwareentwicklung. In der
Designphase werden Patterns seit einigen Jahren eingesetzt, um Expertenwissen
und Wiederverwendbarkeit in den Designprozeß einfließen zu lassen.
Es existiert bereits eine Fülle an solchen Design Patterns. Die
Analysephase ist ein neuer Anwendungsbereich für Patterns, der
bisher in der Literatur noch nicht ausreichend behandelt wurde. In
dieser Arbeit wird die Anwendung des Pattern-Ansatzes in der Analysephase
aufgearbeitet und konkretisiert. Analyse Patterns unterstützen
den gesamten Softwareentwicklungsprozeß und helfen bekannte Probleme
während der Analysephase zu lösen. Dadurch können Zeit
und Kosten bei der Entwicklung neuer Softwaresysteme eingespart werden.
Diese Eigenschaften von Analyse Patterns werden anhand konkreter
Beispiele in einer Case Study nachgewiesen. Diese Case Study beschreibt
den Einsatz von in dieser Arbeit entwickelten Analyse Pattern für
Informationsmanagement anhand des Projekts Virtuelle Universität
der Wirtschaftsuniversität Wien, in dem ein Internet-Informationsbroker
zur Unterstützung von Lehre und Forschung realisiert wird. Die
Erfahrungen aus diesem Projekt werden untersucht, und die Auswirkungen
der Analyse Patterns auf Wiederverwendung bei der Softwareentwicklung
und auf die Akzeptanz des resultierenden Systems werden präsentiert.
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[6]
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Michael Hahsler.
Software Patterns: Pinwände.
Diplomarbeit, Wirtschaftsuniversität Wien, Augasse 2--6, A 1090 Wien, Österreich, November 1997.
[ preprint (PDF) ]
Diese Arbeit beschäftigt sich mit dem Pattern-Ansatz für die
Architektur von Software. Nach einer kurzen Darstellung des Ansatzes
werden das Pinwand-Pattern und seine Varianten beschrieben. Pinwände
werden verwendet, um Informationen zu sammeln und Interessierten
zur Verfügung zu stellen. Sie finden unter anderem in den folgenden
Bereichen Anwendung: Groupware-Anwendungen, Conferencing Systeme,
Diskussionsforen und Virtuelle Bibliotheken.
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