http://www.bibsonomy.org/burst/user/renewBibSonomy BuRST Feed for /user/renew2008-05-14T13:15:18+02:00The big onehttp://www.bibsonomy.org/bibtex/25f0e2f5fef43b240f92eaa24fd203cc0/renewrenew2008-04-21T13:44:43+02:00detection evaluation tdt topic tracking <span style="color:#555555;">Jonathan G. <a href="http://www.bibsonomy.org/author/Fiscus">Fiscus</a> und George <a href="http://www.bibsonomy.org/author/Doddington">Doddington</a> und John S. <a href="http://www.bibsonomy.org/author/Garofolo">Garofolo</a> und Alvin <a href="http://www.bibsonomy.org/author/Martin">Martin</a> </span><em>Proc. of the DARPA Broadcast News Workshop, </em><em>Virginia, US, </em>(<em>1998</em>)Virginia, USProc. of the DARPA Broadcast News WorkshopNIST&#039;s 1998 Topic Detection and Tracking Evaluation (TDT2)1998detectionevaluationtdttopictrackingdblphttp://www.bibsonomy.org/bibtex/28ca69f31e7ab051f5576807162bf31bb/renewrenew2008-04-21T13:05:32+02:00detection tdt temporal topic <span style="color:#555555;">Juha <a href="http://www.bibsonomy.org/author/Makkonen">Makkonen</a> und Helena <a href="http://www.bibsonomy.org/author/Ahonen-Myka">Ahonen-Myka</a> und Marko <a href="http://www.bibsonomy.org/author/Salmenkivi">Salmenkivi</a> </span><em>ECIR, </em><em>Volume2633vonLecture Notes in Computer Science, </em><em>Seite251-265. </em><em>Springer, </em>(<em>2003</em>)ECIRconf/ecir/2003251-265Lecture Notes in Computer ScienceTopic Detection and Tracking with Spatio-Temporal Evidence.26332003detectiontdttemporaltopicdblphttp://www.bibsonomy.org/bibtex/247d9bbc0a4295471084bffaf29c75d74/renewrenew2008-04-21T13:02:44+02:00detection tdt temporal topic <span style="color:#555555;">Juha <a href="http://www.bibsonomy.org/author/Makkonen">Makkonen</a> und Helena <a href="http://www.bibsonomy.org/author/Ahonen-Myka">Ahonen-Myka</a> </span><em>ECDL, </em><em>Volume2769vonLecture Notes in Computer Science, </em><em>Seite393-404. </em><em>Springer, </em>(<em>2003</em>)ECDLconf/ercimdl/2003393-404Lecture Notes in Computer ScienceUtilizing Temporal Information in Topic Detection and Tracking.27692003detectiontdttemporaltopichttp://www.bibsonomy.org/bibtex/2f81bc9315be5c3fb426ee22b2508c4d6/renewrenew2008-04-21T12:58:08+02:00evolution tdt topic visualization <span style="color:#555555;">Ata <a href="http://www.bibsonomy.org/author/Kaban">Kaban</a> und Mark <a href="http://www.bibsonomy.org/author/Girolami">Girolami</a> </span><em>Journal of Intelligent Information Systems</em><em>18(2/3):107--125</em>(<em>2002</em>)Journal of Intelligent Information Systems2/3107--125A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams182002evolutiontdttopicvisualizationWe 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.WikiWiki weaving heterogeneous software artifactshttp://www.bibsonomy.org/bibtex/2daeb59b83e903d164e57396be7e44e6e/renewrenew2008-04-07T20:12:34+02:00artifact integration software wiki <span style="color:#555555;">Ademar <a href="http://www.bibsonomy.org/author/Aguiar">Aguiar</a> und Gabriel <a href="http://www.bibsonomy.org/author/David">David</a> </span><em>WikiSym '05: Proceedings of the 2005 international symposium on Wikis, </em><em>Seite67--74. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2005</em>)New York, NY, USAWikiSym &#039;05: Proceedings of the 2005 international symposium on Wikis67--74WikiWiki weaving heterogeneous software artifacts2005artifactintegrationsoftwarewikiGood 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.Mutation Mining - A Prospector's Tale | rene-witte.nethttp://www.bibsonomy.org/bibtex/2931d9d3ebb1f6f27be9ce8a7af8afc61/renewrenew2008-04-02T23:59:10+02:00mining mutation mutationminer protein text <span style="color:#555555;">Christopher J. O. <a href="http://www.bibsonomy.org/author/Baker">Baker</a> und Ren'e <a href="http://www.bibsonomy.org/author/Witte">Witte</a> </span><em>Information Systems Frontiers (ISF)</em><em>8(1):47--57</em><em>February2006. </em>Information Systems Frontiers (ISF)February147--57{Mutation Mining---A Prospector&#039;s Tale}82006miningmutationmutationminerproteintexthttp://www.bibsonomy.org/bibtex/2382fde3d86b8d461bc19bb940cfaa2ea/renewrenew2008-03-27T14:30:00+01:00semantic services web <span style="color:#555555;">Rudi <a href="http://www.bibsonomy.org/author/Studer">Studer</a> und Stephan <a href="http://www.bibsonomy.org/author/Grimm">Grimm</a> und Andreas <a href="http://www.bibsonomy.org/author/Abecker">Abecker</a> (eds.). </span><em>Springer Xpert.press, </em><em>Berlin, </em>(<em>2007</em>)BerlinSemantic Web Services2007semanticserviceswebhttp://www.bibsonomy.org/bibtex/2c46d19a954b854e23d9ce9bd859fb8e2/renewrenew2008-03-26T12:43:53+01:00evolution software traceability <span style="color:#555555;">Hsin-Yi <a href="http://www.bibsonomy.org/author/Jiang">Jiang</a> und Tien <a href="http://www.bibsonomy.org/author/Nguyen">Nguyen</a> und Ing-Xiang <a href="http://www.bibsonomy.org/author/Chen">Chen</a> </span><em>Intl Conf. on Software Engineering, </em><em>Leipzig, Germany, </em><em>May2008. </em>Leipzig, GermanyIntl Conf. on Software EngineeringMayIncremental Latent Semantic Indexing for Effective, Automatic Traceability Link Evolution Management2008evolutionsoftwaretraceabilityMaintaining 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.Empowering Software Maintainers with Semantic Web Technologieshttp://www.bibsonomy.org/bibtex/2f81b76bd550ca14a7ba2b1cfcf00a978/renewrenew2008-03-23T13:37:56+01:00maintenance semantic software web <span style="color:#555555;">Ren'e <a href="http://www.bibsonomy.org/author/Witte">Witte</a> und Yonggang <a href="http://www.bibsonomy.org/author/Zhang">Zhang</a> und Juergen <a href="http://www.bibsonomy.org/author/Rilling">Rilling</a> </span><em>4th European Semantic Web Conference (ESWC 2007), </em><em>4519, </em><em>Seite37--52. </em><em>Innsbruck, Austria, </em><em>Springer-Verlag Berlin Heidelberg, </em><em>June 3--72007. </em>Innsbruck, Austria4th European Semantic Web Conference (ESWC 2007)June 3--7451937--52LNCS{Empowering Software Maintainers with Semantic Web Technologies}2007maintenancesemanticsoftwarewebhttp://www.bibsonomy.org/bibtex/2557915366a2587505d5c192da8e1b849/renewrenew2008-03-22T19:24:20+01:00engineering mining software text <span style="color:#555555;">R. <a href="http://www.bibsonomy.org/author/Witte">Witte</a> und Q. <a href="http://www.bibsonomy.org/author/Li">Li</a> und Y. <a href="http://www.bibsonomy.org/author/Zhang">Zhang</a> und J. <a href="http://www.bibsonomy.org/author/Rilling">Rilling</a> </span><em>IET Software</em><em>2(1):3-16</em>(<em>2008</em>)IET Software13-16Text mining and software engineering: an integrated source code and document analysis approach22008engineeringminingsoftwaretextDocuments written in natural languages constitute a major part of the artefacts produced during the software engineering life cycle. Especially during software maintenance or reverse engineering, semantic information conveyed in these documents can provide important knowledge for the software engineer. A text mining system capable of populating a software ontology with information detected in documents is presented. A particular novelty is the integration of results from automated source code analysis into a natural language processing pipeline, allowing to cross-link software artefacts represented in code and natural language on a semantic level.