Publication:
A fuzzy system model for task implementation in extreme programming process

dc.contributor.authorsGul E.
dc.date.accessioned2022-03-15T01:58:59Z
dc.date.accessioned2026-01-11T14:11:44Z
dc.date.available2022-03-15T01:58:59Z
dc.date.issued2011
dc.description.abstractSoftware simulation enables us to see how a software process is working and gives indications of some of the parameters of the process. In this study the implementation of the tasks in extreme programming software process was modeled using a fuzzy system. The inputs of the system are defined as communication between pair programmers, the writing of unit tests and the coding rules, while the output is the implemented task. The defuzzified output of this fuzzy system provides quantitative results that can be used to determine to how good a task has been implemented. © Springer-Verlag Berlin Heidelberg 2011.
dc.identifier.doi10.1007/978-3-642-23163-6_16
dc.identifier.isbn9783642231629
dc.identifier.issn18675662
dc.identifier.urihttps://hdl.handle.net/11424/247135
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.ispartofAdvances in Intelligent and Soft Computing
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAgile software development
dc.subjectExtreme programming
dc.subjectFuzzy systems
dc.subjectSoftware process models
dc.titleA fuzzy system model for task implementation in extreme programming process
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage117
oaire.citation.startPage111
oaire.citation.titleAdvances in Intelligent and Soft Computing
oaire.citation.volume101

Files