%0 
%0 Conference Proceedings
%A Aguiar, Ademar & David, Gabriel
%D 2005
%T WikiWiki weaving heterogeneous software artifacts
%E 
%B WikiSym '05: Proceedings of the 2005 international symposium on Wikis
%C New York, NY, USA
%I ACM
%V 
%6
%N 
%P 67--74
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%@ 1-59593-111-2
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%F 1104980
%K artifact integration software wiki 
%X Good documentation benefits every software development project, especially large ones, but it can be hard, costly, and tiresome to produce when not supported by appropriate tools and methods.The documentation of a software system uses different artifacts, namely source code, for low-level internal documentation, and specific-purpose models and documents, for higher-level external documentation (e.g. requirements documents, use-case specifications, design notebooks, and reference manuals). All these artifacts require continual review and modification throughout the life-cycle to preserve their consistency and value.Good software documents are often heterogeneous, i.e., they combine different kinds of contents (text, code, models, images) gathered from separate software artifacts, a combination usually difficult to maintain as the system evolves over time, considering that source code, models and documents are typically produced and maintained separately in multiple sources using different environments and editors.This paper presents a wiki that helps on quickly weaving different kinds of contents into a single heterogeneous document, whilst preserving its semantic consistency. The fundamental goal of this wiki (XSDoc Wiki) is to reduce the development-documentation gap by making documentation more convenient and attractive to developers. An example taken from the JUnit framework documentation helps to illustrate the features more relevant to do such weaving.
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%U http://portal.acm.org/citation.cfm?id=1104973.1104980&coll=ACM&dl=ACM&CFID=62774701&CFTOKEN=42556484
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%0 
%0 Journal Article
%A Baker, Christopher J. O. & Witte, Ren\'e,
%D 2006
%T Mutation Mining---A Prospector's Tale
%E 
%B Information Systems Frontiers (ISF)
%C 
%I 
%V 8
%6
%N 1
%P 47--57
%& 
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%S 
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%8 February
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%F BakerWitte06
%K mining mutation mutationminer protein text 
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%0 
%0 Conference Proceedings
%A Fiscus, Jonathan G.; Doddington, George; Garofolo, John S. & Martin, Alvin
%D 1998
%T NIST's 1998 Topic Detection and Tracking Evaluation (TDT2)
%E 
%B Proc. of the DARPA Broadcast News Workshop
%C Virginia, US
%I 
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%F Fiscus98
%K detection evaluation tdt topic tracking 
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%0 
%0 Conference Proceedings
%A Jiang, Hsin-Yi; Nguyen, Tien & Chen, Ing-Xiang
%D 2008
%T Incremental Latent Semantic Indexing for Effective, Automatic Traceability Link Evolution Management
%E 
%B Intl Conf. on Software Engineering
%C Leipzig, Germany
%I 
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%6
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%8 May
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%F jiang08icse
%K evolution software traceability 
%X Maintaining traceability links among software artifacts is particularly important for many software engineering tasks. Even though automatic traceability link recovery tools are successful in identifying the semantic connections among software artifacts produced during software development, no existing traceability link management approach can e®ec- tively and automatically deal with software evolution. We propose a technique to automatically manage traceability link evolution and update the links in evolving software. Our novel technique, called incremental Latent Semantic Index- ing (iLSI), allows the fast and low-cost LSI computation for the update of traceability links by analyzing the changes to software artifacts and by re-using the results from previous LSI computation before the changes. We present our iLSI technique, and describe a complete automatic traceability link evolution management tool, TLEM, that is capable of interactively and quickly updating traceability links in the presence of evolving software artifacts. We report on our empirical evaluation with various experimental studies to assess the performance and usefulness of our approach.
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%0 
%0 Journal Article
%A Kaban, Ata & Girolami, Mark
%D 2002
%T A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams
%E 
%B Journal of Intelligent Information Systems
%C 
%I 
%V 18
%6
%N 2/3
%P 107--125
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%2 Special Issue on Automated Text Categorization
%3 article
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%F citeulike:393563
%K evolution tdt topic visualization 
%X We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information. This can be seen as a complementary tool for topic detection and tracking applications. This is achieved by the exploitation of the a priori domain knowledge available, that there are relatively homogeneous temporal segments in the data stream. In a different manner from topographical techniques previously utilized for static text collections, the topography is an outcome of the coherence in time of the data stream in the proposed model. Simulation results on both toy-data settings and an actual application on Internet chat line discussion analysis is presented by way of demonstration.
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%U http://www.wkap.nl/article.pdf?391242
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%0 
%0 Conference Proceedings
%A Krestel, Ralf; Bergler, Sabine & Witte, Ren\'e,
%D 2008
%T Minding the Source: Automatic Tagging of Reported Speech in Newspaper Articles
%E (ELRA), European Language Resources Association
%B Proceedings of the Sixth International Language Resources and Evaluation (LREC 2008)
%C Marrakech, Morocco
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%8 May 28--30
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%F KrBeWi08
%K reported speech tagging 
%X Reported speech in the form of direct and indirect reported speech is an important indicator of evidentiality in traditional newspaper texts, but also increasingly in the new media that rely heavily on citation and quotation of previous postings, as for instance in blogs or newsgroups. This paper details the basic processing steps for reported speech analysis and reports on performance of an implementation in form of a GATE resource.
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%U http://rene-witte.net/reported-speech-tagging
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%^

%0 
%0 Conference Proceedings
%A Makkonen, Juha & Ahonen-Myka, Helena
%D 2003
%T Utilizing Temporal Information in Topic Detection and Tracking.
%E Koch, Traugott & Sølvberg, Ingeborg
%B ECDL
%C 
%I Springer
%V 2769
%6
%N 
%P 393-404
%& 
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%S Lecture Notes in Computer Science
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%@ 3-540-40726-X
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%4 conf/ercimdl/2003
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%F conf/ercimdl/MakkonenA03
%K detection tdt temporal topic 
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%U http://dblp.uni-trier.de/db/conf/ercimdl/ecdl2003.html#MakkonenA03
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%0 
%0 Conference Proceedings
%A Makkonen, Juha; Ahonen-Myka, Helena & Salmenkivi, Marko
%D 2003
%T Topic Detection and Tracking with Spatio-Temporal Evidence.
%E Sebastiani, Fabrizio
%B ECIR
%C 
%I Springer
%V 2633
%6
%N 
%P 251-265
%& 
%Y 
%S Lecture Notes in Computer Science
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%4 conf/ecir/2003
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%F conf/ecir/MakkonenAS03
%K detection tdt temporal topic 
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%Z 
%U http://dblp.uni-trier.de/db/conf/ecir/ecir2003.html#MakkonenAS03
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%0 
%0 Conference Proceedings
%A Witte, Ren\'e,; Zhang, Yonggang & Rilling, Juergen
%D 2007
%T Empowering Software Maintainers with Semantic Web Technologies
%E Franconi, E.; Kifer, M. & May, W.
%B 4th European Semantic Web Conference (ESWC 2007)
%C Innsbruck, Austria
%I Springer-Verlag Berlin Heidelberg
%V 
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%N 
%P 37--52
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%S LNCS
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%8 June 3--7
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%K maintenance semantic software web 
%X 
%Z 
%U http://www.eswc2007.org/pdf/eswc07-witte.pdf
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%0 
%0 Book
%A 
%D 2007
%T Semantic Web Services
%E Studer, Rudi; Grimm, Stephan & Abecker, Andreas
%B 
%C Berlin
%I Springer Xpert.press
%V 
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%K semantic services web 
%X 
%Z 
%U http://www.springerlink.com/content/kj5458/
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