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020 _a9783030176662
_9978-3-030-17666-2
024 7 _a10.1007/978-3-030-17666-2
_2doi
050 4 _aQA76.76.A65
072 7 _aUB
_2bicssc
072 7 _aCOM005000
_2bisacsh
072 7 _aUX
_2thema
082 0 4 _a005.3
_223
245 1 0 _aEmpirical Studies on the Development of Executable Business Processes
_h[electronic resource] /
_cedited by Daniel Lübke, Cesare Pautasso.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXXVI, 223 p. 61 illus., 13 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1 Empirical Research in Executable Process Models -- 2 A Template for Categorizing Business Processes in Empirical Research -- 3 Effectively and Efficiently Implementing Complex Business Processes - A Case Study -- 4 Analysis of Data-Flow Complexity and Architectural Implications -- 5 Requirements comprehension using BPMN: An Empirical Study -- 6 Developing process execution support for high tech manufacturing processes -- 7 Developing a Platform for Supporting Clinical Pathways -- 8 IT Centric Process Automation: Study about the Performance of BPMN 2.0 Engines -- 9 Effectiveness of Combinatorial Test Design with Executable Business Processes.
520 _aThis book collects essential research on the practical application of executable business process modeling in real-world projects, i.e., model-driven solutions for the support and automation of digital business processes that are created using languages such as BPEL or BPMN. It mainly focuses on empirical research, but also includes an up-to-date cross-section of case studies in order to assess examples of BPM’s practical impact in the industry. On the one hand, executable models are formally and precisely defined so that computers can interpret and execute them; on the other, they are visualized so that humans can describe, document and optimize business processes at a higher level of abstraction than with traditional textual programming languages. While these important research areas have long been separated from one another, this book is an attempt at cross-fertilization, driven by the insight that business processes are the software behind today’s digital organizations, and that achieving a precise representation of such processes is key to their reliable execution. Consequently, the book presents various case studies and experiments that investigate questions of interest to both academia (e.g., identifying challenges for which no solution exists; sharing new insights into how existing approaches are actually used) and industry (e.g., guidelines on using certain technologies and on modeling comprehensible and executable processes). Both researchers and practitioners will benefit from the presentation of how concepts are transformed into working solutions. The studies are presented in a structured manner and with sufficient rigor to be considered empirical research, further enhancing the book’s value for the research community, while practitioners will find concrete guidance on making the right decisions for their projects.
650 0 _aApplication software.
650 0 _aInformation technology
_xManagement.
650 0 _aBusiness information services.
650 0 _aSoftware engineering.
650 1 4 _aComputer and Information Systems Applications.
650 2 4 _aBusiness Process Management.
650 2 4 _aComputer Application in Administrative Data Processing.
650 2 4 _aBusiness Information Systems.
650 2 4 _aSoftware Engineering.
700 1 _aLübke, Daniel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPautasso, Cesare.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030176655
776 0 8 _iPrinted edition:
_z9783030176679
776 0 8 _iPrinted edition:
_z9783030176686
856 4 0 _uhttps://doi.org/10.1007/978-3-030-17666-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c173884
_d173884