Time-aware Automatic Process View Generation

被引:1
|
作者
Cheikhrouhou, Saoussen [1 ]
Kallel, Slim [1 ]
Guermouche, Nawal [2 ,3 ]
Jmaiel, Mohamed [1 ,4 ]
机构
[1] Univ Sfax, ReDCAD Lab, Sfax, Tunisia
[2] Univ Toulouse, INSA, Toulouse, France
[3] CNRS, LAAS, Toulouse, France
[4] Univ Sfax, ReCAD Lab, Sfax, Tunisia
关键词
D O I
10.1109/ICEBE.2013.19
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays, the OMG standard business process model and notation BPMN is gaining widespread use in the business world. In this context, several underlying issues must be considered. In this paper, we are particularly interested in the problem of getting control over the business process outsourcing through views generation. Indeed, the concept of views is essential since it allows organizations to choose the parts that can be exposed and to keep secret the critical parts of their business processes. In this context, we are specially interested in considering temporal properties when building public views from private processes. First, we propose a BPMN extension for capturing temporal requirements during the business process modelling (BPM) phase. Second, based on this extension, our work preserves privacy in inter-organizational business processes (IOBPs) by a Time-aware Automatic Process View Generation TAPVG approach. Finally, a verification approach based on the model checking technique is used to diagnose potential temporal violations of the process model.
引用
收藏
页码:126 / 131
页数:6
相关论文
共 50 条
  • [1] A Survey on Time-aware Business Process Modeling
    Cheikhrouhou, Saoussen
    Kallel, Slim
    Guermouche, Nawal
    Jmaiel, Mohamed
    ICEIS: PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS - VOL 3, 2013, : 236 - 242
  • [2] Enabling Personalized Process Schedules with Time-Aware Process Views
    Lanz, Andreas
    Kolb, Jens
    Reichert, Manfred
    ADVANCED INFORMATION SYSTEMS ENGINEERING WORKSHOPS (CAISE), 2013, 148 : 205 - 216
  • [3] A time-aware method to process behavioral similarity calculation
    Huang, Hua
    Peng, Rong
    Feng, Zaiwen
    PROCEEDINGS 2016 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2016), 2016, : 395 - 402
  • [4] Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring
    An Nguyen
    Chatterjee, Srijeet
    SvenWeinzierl
    Schwinn, Leo
    Matzner, Martin
    Eskofier, Bjoern
    PROCESS MINING WORKSHOPS, ICPM 2020 INTERNATIONAL WORKSHOPS, 2021, 406 : 112 - 123
  • [5] Time-Aware Abstractions in HybridSal
    Tiwari, Ashish
    COMPUTER AIDED VERIFICATION, PT I, 2015, 9206 : 504 - 510
  • [6] SIMPT: Process Improvement Using Interactive Simulation of Time-Aware Process Trees
    Pourbafrani, Mahsa
    Jiao, Shuai
    van der Aalst, Wil M. P.
    RESEARCH CHALLENGES IN INFORMATION SCIENCE (RCIS 2021), 2021, 415 : 588 - 594
  • [7] On Time-Aware Instrumentation of Programs
    Fischmeister, Sebastian
    Lam, Patrick
    15TH IEEE REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATION SYMPOSIUM: RTAS 2009, PROCEEDINGS, 2009, : 305 - 314
  • [8] Time-aware coordination in ReSpecT
    Omicini, A
    Ricci, A
    Viroli, M
    COORDINATION MODELS AND LANGUAGES, PROCEEDINGS, 2005, 3454 : 268 - 282
  • [9] Time-aware conversion prediction
    Wendi Ji
    Xiaoling Wang
    Feida Zhu
    Frontiers of Computer Science, 2017, 11 : 702 - 716
  • [10] An architecture for time-aware systems
    Fiamberti, Francesco
    Micucci, Daniela
    Tisato, Francesco
    2011 IEEE 16TH CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2011,