Detection of Process Antipatterns: A BPEL Perspective

Detection of Process Antipatterns: A BPEL Perspective. Palma, F., Moha, N., & Gu�h�neuc, Y. In Mili, H., Charif, Y., & Liu, E., editors, Proceedings of the 1st Workshop on Methodologies for Robustness Injection into Business Processes (MRI-BP), September, 2013. IEEE CS Press. 5 pages.

Paper abstract bibtex

With the increasing significance of the service-oriented paradigm for implementing business solutions, assessing and analyzing such solutions also becomes an essential task to ensure and improve their quality of design. One way to develop such solutions, a.k.a., Service-Based systems (SBSs) is to generate BPEL (Business Process Execution Language) processes via orchestrating Web services. Development of large business processes (BPs) involves design decisions. Improper and wrong design decisions in software engineering are commonly known as \emphantipatterns, \emphi.e., poor solutions that might affect the quality of design. The detection of antipatterns is thus important to ensure and improve the quality of business processes. However, although BP antipatterns have been defined in the literature, no effort was given to detect such antipatterns within BPEL processes. With the aim of improving the design and quality of BPEL processes, we propose the first rule-based approach to specify and detect BP antipatterns. We specify 7 BP antipatterns from the literature and perform the detection for 4 of them in an initial experiment with 3 example BPEL processes.

@INPROCEEDINGS{Palma13-MRIBP-BPELAntipatterns,
   AUTHOR       = {Francis Palma and Naouel Moha and Yann-Ga�l Gu�h�neuc},
   BOOKTITLE    = {Proceedings of the 1<sup>st</sup> Workshop on Methodologies for Robustness Injection into Business Processes (MRI-BP)},
   TITLE        = {Detection of Process Antipatterns: A BPEL Perspective},
   YEAR         = {2013},
   OPTADDRESS   = {},
   OPTCROSSREF  = {},
   EDITOR       = {Hafedh Mili and Yasmine Charif and Emily Liu},
   MONTH        = {September},
   NOTE         = {5 pages.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   PUBLISHER    = {IEEE CS Press},
   OPTSERIES    = {},
   OPTVOLUME    = {},
   KEYWORDS     = {Topic: <b>Code and design smells</b>, 
      Venue: <i>MRI-BP</i>},
   URL          = {http://www.ptidej.net/publications/documents/MRIBP13.doc.pdf},
   PDF          = {http://www.ptidej.net/publications/documents/MRIBP13.ppt.pdf},
   ABSTRACT     = {With the increasing significance of the service-oriented 
      paradigm for implementing business solutions, assessing and analyzing 
      such solutions also becomes an essential task to ensure and improve 
      their quality of design. One way to develop such solutions, a.k.a., 
      Service-Based systems (SBSs) is to generate BPEL (Business Process 
      Execution Language) processes via orchestrating Web services. 
      Development of large business processes (BPs) involves design 
      decisions. Improper and wrong design decisions in software 
      engineering are commonly known as \emph{antipatterns}, \emph{i.e.}, 
      poor solutions that might affect the quality of design. The detection 
      of antipatterns is thus important to ensure and improve the quality 
      of business processes. However, although BP antipatterns have been 
      defined in the literature, no effort was given to detect such 
      antipatterns within BPEL processes. With the aim of improving the 
      design and quality of BPEL processes, we propose the first rule-based 
      approach to specify and detect BP antipatterns. We specify 7 BP 
      antipatterns from the literature and perform the detection for 4 of 
      them in an initial experiment with 3 example BPEL processes.}
}

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