Titlebook: Metrics for Process Models; Empirical Foundation Jan Mendling Book 2008 Springer-Verlag Berlin Heidelberg 2008 Business Process Modeling.SA

microbe

书目名称Metrics for Process Models影响因子(影响力)




书目名称Metrics for Process Models影响因子(影响力)学科排名




书目名称Metrics for Process Models网络公开度




书目名称Metrics for Process Models网络公开度学科排名




书目名称Metrics for Process Models被引频次




书目名称Metrics for Process Models被引频次学科排名




书目名称Metrics for Process Models年度引用




书目名称Metrics for Process Models年度引用学科排名




书目名称Metrics for Process Models读者反馈




书目名称Metrics for Process Models读者反馈学科排名

vasospasm

Jan Mendlingnzüberschreitender Unternehmensaktivitäten aufgezeigt. Das Strafrecht behandelt insbesondere Umweltdelikte. Die Energiewende und Industrie 4.0 wurden eigens berücksichtigt.978-3-662-50475-8978-3-662-50476-5Series ISSN 0937-7433 Series E-ISSN 2512-5214

项目

Business Process Management,, 257, 49, 213, 233, 170, 407, 415, 199, 405, 447, 227, 408] as well as international professional and academic conference series such as the BPM conference [13, 106, 5, 115, 23], there are several fundamental problems that remain unsolved by current approaches. A particular problem is the lack of r

制度

sultry

衍生

Metrics for Business Process Models,t drive error probability and how we can measure them..In this instance, measurement refers to a process that assigns numbers or symbols to attributes of entities in the real world [124] in order to represent the amount or degree of those attributes possessed by the entities [432, p.19]. This way, m

AVANT

Business Process Management,international market for BPM-related software and services accounted for more than USD $1 billion in 2005 with a tendency towards rapid growth in the subsequent couple of years [457]. The relevance of business process modeling to general management initiatives has been previously studied in the 1990

MOTTO

疲惫的老马

现存

Metrics for Business Process Models,04] points to the limitations of cognitive capabilities and concludes that humans act rationally only to a certain extent. Concerning modeling errors, this argument would imply that human modelers lose track of the interrelations of large and complex models due to their limited cognitive capabilitie