@conference {D{\textquoteright}Ambrogio2016, title = {Towards performance-oriented perfective evolution of BPMN models}, booktitle = {Proceedings of the 2016 Spring Simulation Multiconference - TMS/DEVS Symposium on Theory of Modeling and Simulation, TMS/DEVS 2016}, year = {2016}, note = {cited By 0}, publisher = {The Society for Modeling and Simulation International}, organization = {The Society for Modeling and Simulation International}, abstract = {

Simulation techniques are successfully applied to analyze and validate the performance of a business process (BP) since the early phases of its lifecycle, when the BP representation is commonly specified in BPMN. The BP simulation model is first to be built from the BPMN model, then implemented and finally executed to yield the performance indices of interest. The model building activity includes a parameterization task that is carried out either by use of tool-specific facilities or through standardized languages for specifying simulation model parameters. In both cases, the parameters have to be externally linked to the BPMN model. A similar reasoning applies to the simulation results. This paper introduces a BPMN extension to annotate BPMN models with both the input parameters and the results provided by the BP analysis, so as to include in a single BPMN model all the data associated to the simulation-based analysis of a given BP. The paper also outlines an architecture that exploits the proposed extension to realize the performance-oriented perfective evolution of BPMN models, or the ability to introduce a feedback chain that makes use of simulation results to automatically refactor a BP model in order to better meet the BP performance objectives. {\textcopyright}2016 Society for Modeling \& Simulation International (SCS).

}, keywords = {BPMN, Business Process, Circuit simulation, Performance indices, Performance objective, Performance-oriented, Simulation, Simulation technique, Simulation-based analysis, Software architecture, Software engineering}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978142027\&partnerID=40\&md5=d9a565c888c8c352dcbe3e6d0a81d2ac}, author = {Andrea D{\textquoteright}Ambrogio and Paglia, E. and Bocciarelli, P. and Giglio, A.}, editor = {Barros F., Hu X., Denil J., Prahofer H.} } @conference {Bocciarelli2015213, title = {A model-driven framework for distributed simulation of autonomous systems}, booktitle = {Simulation Series}, volume = {47}, number = {8}, year = {2015}, note = {cited By 1}, pages = {213-220}, publisher = {The Society for Modeling and Simulation International}, organization = {The Society for Modeling and Simulation International}, abstract = {

The adoption of systems with autonomous capabilities is becoming more and more relevant in many real-world operational scenarios, in which risky operations have to be carried out (e.g., a military battlefield or a search-and-rescue operation). In this context, innovative approaches should be introduced at design time to ensure that the system will achieve the mission objectives at operation time. To this purpose, distributed simulation techniques have shown to be effective to deal with the inherent complexity of the environment to be simulated, which generally includes several interacting entities. Unfortunately, currently available distributed simulation standards, such as HLA (High Level Architecture), require a non-negligible effort and significant skills in terms of both simulation methodologies and related implementation technologies. In this respect, this paper focuses on the simulationbased analysis of systems with autonomous capabilities and introduces a model-driven approach to support the automated generation of HLA-based distributed simulations. The proposed approach is founded on the use of model transformation techniques and allows system designers to carry out a timely and cost-effective simulation-based analysis of the operational system without being required to own specific distributed simulation skills. {\textcopyright} 2015 Society for Modeling \& Simulation International (SCS).

}, keywords = {Autonomous systems, Cost effectiveness, Distributed simulation techniques, Distributed simulations, MDA, Model driven development, Model transformation technique, Search and rescue operations, Simulation-based analysis, Software architecture}, issn = {07359276}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928155948\&partnerID=40\&md5=9e8205a446169e040469dff647e9cfa3}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Giglio, A. and Paglia, E.}, editor = {Wang M.H., Barros F., D{\textquoteright}Ambrogio A., Zacharewicz G.} } @conference {Bocciarelli20153012, title = {Simulation-based performance and reliability analysis of business processes}, booktitle = {Proceedings - Winter Simulation Conference}, volume = {2015-January}, year = {2015}, note = {cited By 2}, pages = {3012-3023}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, organization = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {

The use of process modeling combined with the use of simulation-based analysis provides a valuable way to analyze business processes (BPs) and to evaluate design alternatives before committing resources and effort. The simulation-based analysis of BPs usually addresses performance in terms of efficiency, i.e., focusing on time-related properties (e.g., throughput or execution time). Differently, this paper proposes an automated method for the analysis of BPs in terms of both efficiency-related performance and reliability. In addition, the method allows business analysts to carry out a joint performance and reliability analysis by introducing a so-called performability attribute. The proposed method is illustrated by use of a running example dealing with a conventional e-commerce scenario. {\textcopyright} 2014 IEEE.

}, keywords = {Automated methods, Business analysts, Business Process, Design alternatives, Joint performance, Performance and reliabilities, Process Modeling, Reliability, Reliability analysis, Simulation-based analysis}, isbn = {9781479974863}, issn = {08917736}, doi = {10.1109/WSC.2014.7020140}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940521933\&partnerID=40\&md5=04c0407c66dbcda5756df2c96a686040}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Giglio, A. and Paglia, E.}, editor = {Tolk A., Diallo S.Y., Ryzhov I.O., Yilmaz L.} }