Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/29143
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dc.contributor.authorJOOKEN, Leen-
dc.contributor.authorCREEMERS, Mathijs-
dc.contributor.authorJANS, Mieke-
dc.date.accessioned2019-09-10T13:21:12Z-
dc.date.available2019-09-10T13:21:12Z-
dc.date.issued2019-
dc.identifier.citationDi Francescomarino, Chiara; Dijkman, Remco; Zdun, Uwe (Ed.). Business Process Management - 17th International Conference, BPM 2019, Vienna, Austria, September 1-6, 2019, Proceedings, Springer,p. 213-224 (Art N° 21)-
dc.identifier.isbn9783030266189-
dc.identifier.issn1865-1348-
dc.identifier.urihttp://hdl.handle.net/1942/29143-
dc.description.abstractA precise overview on how software developers collaborate oncode could reveal new insights such as indispensable resources, potentialrisks and better team awareness. Version control system logs keep trackof what team members worked on and when exactly this work took place.Since it is possible to derive collaborations from this information, theselogs form a valid data source to extract this overview from. This conceptshows many similarities with how process mining techniques can extractprocess models from execution logs. The fuzzy mining algorithm [5] inparticular holds many useful ideas and metrics that can also be appliedto our problem case. This paper describes the development of a toolthat extracts a collaboration graph from a version control system log. Itexplores to what extend fuzzy mining techniques can be incorporated toconstruct and simplify the visualization. A demonstration of the tool ona real-life version control system log is given. The paper concludes witha discussion of future work.-
dc.language.isoen-
dc.publisherSpringer-
dc.subject.otherProcess mining; social network analysis; data mining; version control systems.-
dc.titleExtracting A Collaboration Model From VCS Logs Based On Process Mining Techniques-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsDi Francescomarino, Chiara-
local.bibliographicCitation.authorsDijkman, Remco-
local.bibliographicCitation.authorsZdun, Uwe-
local.bibliographicCitation.conferencedate02/09/2019 - 06/09/2019-
local.bibliographicCitation.conferencename17th Int. Conference on Business Process Management (BPM 2019)-
local.bibliographicCitation.conferenceplaceVienna, Austria-
dc.identifier.epage224-
dc.identifier.spage213-
local.bibliographicCitation.jcatC1-
local.publisher.placeGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND-
dc.relation.references1. Bala, S., Cabanillas, C., Mendling, J., Rogge-Solti, A., Polleres, A.: Mining project-oriented business processes. In: Lecture Notes in Computer Science (including sub-series Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2015). https://doi.org/10.1007/978-3-319-23063-4282. Bastian, M., Heymann, S.: Gephi : An Open Source Software for Exploring and Ma-nipulating Networks. ICWSM (2009). https://doi.org/10.1136/qshc.2004.0100333. Georget, L., Tronel, F., Tong, V.V.T.: Kayrebt: An activity diagram extraction andvisualization toolset designed for the Linux codebase. In: 2015 IEEE 3rd Work-ing Conference on Software Visualization, VISSOFT 2015 - Proceedings (2015).https://doi.org/10.1109/VISSOFT.2015.73324314. Graanin, D., Matkovi, K., Eltoweissy, M.: Software visualization. Inno-vations in Systems and Software Engineering1, 221–230 (09 2005).https://doi.org/10.1007/s11334-005-0019-85. G ̈unther, C.W., van der Aalst, W.M.P.: Fuzzy Mining Adaptive Process Simplifi-cation Based on Multi-perspective Metrics (2007). https://doi.org/10.1007/978-3-540-75183-0246. Lanza,M.,D’Ambros,M.,Bacchelli,A.,Hattori,L.,Rigotti,F.:Manhattan:Supportingreal-timevisualteamactivityawareness.In:IEEEInternationalConferenceonProgramComprehension(2013).https://doi.org/10.1109/ICPC.2013.66138497. Marcus, A., Comorski, D., Sergeyev, A.: Supporting the evolution of a softwarevisualization tool through usability studies. In: Proceedings - IEEE Workshop onProgram Comprehension (2005). https://doi.org/10.1109/WPC.2005.348. Quante, J.: Do dynamic object process graphs support program understanding? -A controlled experiment. In: IEEE International Conference on Program Compre-hension (2008). https://doi.org/10.1109/ICPC.2008.159. Sensalire,M.,Ogao,P.,Telea,A.:Evaluationofsoftwarevi-sualizationtools:Lessonslearned.pp.19–26(102009).https://doi.org/10.1109/VISSOF.2009.533643110. Storey, M.A., Wong, K., M ̈uller, H.A.: How do program understanding tools af-fect how programmers understand programs? Science of Computer Programming(2000). https://doi.org/10.1016/S0167-6423(99)00036-211. Team, N.: NetworkX (2014)12. Van Der Aalst, W.M., Reijers, H.A., Song, M.: Discovering social net-works from event logs. Computer Supported Cooperative Work (2005).https://doi.org/10.1007/s10606-005-9005-913. Wasserman, S., Faust, K.: Social network analysis: methods and applications II(1994). https://doi.org/10.1525/ae.1997.24.1.21914. Wettel, R., Lanza, M., Robbes, R.: Software systems as cities: a controlled exper-iment. In: ICSE ’11 Proceedings of the 33rd International Conference on SoftwareEngineering (2011). https://doi.org/10.1145/1985793.1985868-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.bibliographicCitation.artnr21-
dc.identifier.doi10.1007/978-3-030-37453-2_18-
dc.identifier.isi000723926800019-
dc.identifier.urlhttps://surfdrive.surf.nl/files/index.php/s/1x7PMzTjsFRfw6y-
local.provider.typeWeb of Science-
local.bibliographicCitation.btitleBusiness Process Management - 17th International Conference, BPM 2019, Vienna, Austria, September 1-6, 2019, Proceedings-
local.uhasselt.internationalno-
item.fullcitationJOOKEN, Leen; CREEMERS, Mathijs & JANS, Mieke (2019) Extracting A Collaboration Model From VCS Logs Based On Process Mining Techniques. In: Di Francescomarino, Chiara; Dijkman, Remco; Zdun, Uwe (Ed.). Business Process Management - 17th International Conference, BPM 2019, Vienna, Austria, September 1-6, 2019, Proceedings, Springer,p. 213-224 (Art N° 21).-
item.fulltextWith Fulltext-
item.validationecoom 2022-
item.validationvabb 2021-
item.contributorJOOKEN, Leen-
item.contributorCREEMERS, Mathijs-
item.contributorJANS, Mieke-
item.accessRightsRestricted Access-
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