In recent years, the process orientation requirements engineering field has received significant interest. However, dealing with ordinary users within an enterprise for developing as-is business process is very comple...In recent years, the process orientation requirements engineering field has received significant interest. However, dealing with ordinary users within an enterprise for developing as-is business process is very complex because this requires skills, responsibility, knowledge, and expertise of business processes. This research answers the following questions: 1) how to systematically gather information regarding as-is business process requirements in an informal environment and by non-expert users? and 2) how can an enterprise refine the identified business process with a semantic process model? The primary purpose of this research is to develop a supporting framework that is suitable for the definition of an as-is business process to be deployed within the enterprise environment. Hence, the focus is on gathering requirements to define the as-is business process. This framework concentrates on three significant aspects of this process: development, refinement, and serialization the semantics of the process model. To accomplish this objective, the LORS framework has been proposed, which consists of four phases (List, Order, Refinement, and Serialization). The framework presents a new unique technique to identify the business process, refine the process, and generate the model semantics. This study assumes that a simple and complete framework will help non-expert users define a high-quality as-is process, such that enhance and facilitate the matching process with existing reference models. We present a case study, evaluate the case study relative to specified criteria, and research the limitations and implications discovered from our research. This research concludes that the LORS framework is simple, flexible, visible, interactive, dynamic, and effective.展开更多
László Lovász(罗瓦兹)是一位匈牙利数学家,布达佩斯Eötvös Loránd大学荣休教授.他获得了1979年SIAM(工业与应用数学学会)Polya(波利亚)奖,1982年和2012年Fulkerson奖,1999年Wolf(沃尔夫)奖,1999年Knuth...László Lovász(罗瓦兹)是一位匈牙利数学家,布达佩斯Eötvös Loránd大学荣休教授.他获得了1979年SIAM(工业与应用数学学会)Polya(波利亚)奖,1982年和2012年Fulkerson奖,1999年Wolf(沃尔夫)奖,1999年Knuth(高德纳)奖,2001年Godel(哥德尔)奖,2006年John von Neumann(冯·诺伊曼)理论奖,2007年Janos Bolyai(波尔约)创意奖,2008年Széchenyi奖,2010年京都奖,以及最值得注意的2021年Abel(阿贝尔)奖,这被人们认为是数学家们的Nobel(诺贝尔)奖.他是国际数学联合会(IMU)的前主席,以及匈牙利科学院的前院长,同时也是PaulErdos(爱尔迪希)的主要合作者之一.展开更多
文摘In recent years, the process orientation requirements engineering field has received significant interest. However, dealing with ordinary users within an enterprise for developing as-is business process is very complex because this requires skills, responsibility, knowledge, and expertise of business processes. This research answers the following questions: 1) how to systematically gather information regarding as-is business process requirements in an informal environment and by non-expert users? and 2) how can an enterprise refine the identified business process with a semantic process model? The primary purpose of this research is to develop a supporting framework that is suitable for the definition of an as-is business process to be deployed within the enterprise environment. Hence, the focus is on gathering requirements to define the as-is business process. This framework concentrates on three significant aspects of this process: development, refinement, and serialization the semantics of the process model. To accomplish this objective, the LORS framework has been proposed, which consists of four phases (List, Order, Refinement, and Serialization). The framework presents a new unique technique to identify the business process, refine the process, and generate the model semantics. This study assumes that a simple and complete framework will help non-expert users define a high-quality as-is process, such that enhance and facilitate the matching process with existing reference models. We present a case study, evaluate the case study relative to specified criteria, and research the limitations and implications discovered from our research. This research concludes that the LORS framework is simple, flexible, visible, interactive, dynamic, and effective.
