@article {Chaouni2022251,
	title = {Alignment of Software System Level with Business Process Level: Resolving Syntactic and Semantic Conflicts},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {13},
	number = {7},
	year = {2022},
	note = {cited By 0},
	pages = {251-262},
	abstract = {Information systems help organizations manage their entities with innovative technologies. These entities are often very different in nature. In this paper, we consider a business process level based on a set of Business Process Model and Notation (BPMN) models and a software system level based on a Unified Modeling Language (UML) class diagram. The differences between these entities make them difficult to align. In addition, an organization{\textquoteright}s BPMN models may be designed by different teams, which can cause syntactic and semantic heterogeneities. We present the first step of our proposed approach for aligning a software system level with a business process level without conflict (redundancy and lost information). Syntactic and semantic rules based on ontologies and other resources for comparing BPMN models are described, as well as a process for transforming BPMN models into UML model. {\textcopyright} 2022. International Journal of Advanced Computer Science and Applications.All Rights Reserved},
	keywords = {Business Process, Business process model and notation, Business process modeling, Class diagrams, Computer software, Information management, Information system alignment, Information systems, Information use, Ontology, Ontology{\textquoteright}s, Semantic aspect, Semantics, Software-systems, Syntactics, Systems alignments, Unified Modeling Language},
	doi = {10.14569/IJACSA.2022.0130733},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135807702\&doi=10.14569\%2fIJACSA.2022.0130733\&partnerID=40\&md5=c926fa84b9a85ef4d8f825d949952fb0},
	author = {Chaouni, S.B. and Habba, M. and Fredj, M.}
}
@conference {Hmami2022,
	title = {Applying change tree method in configurable process mining},
	booktitle = {2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2022},
	year = {2022},
	note = {cited By 0},
	abstract = {Changes are unexpected events that can be visualized on the logs of each business process. By analysing these logs, particularly change logs ones, we can provide valuable information about changes that occurred during the process{\textquoteright}s execution phases. In this paper we propose to apply a new version of the change tree method to analyse change logs of a configurable process model obtained through configurable process mining approaches, especially change mining ones. The configurable process model is a model that describes a family of business processes. By representing changes related to configurable models, managers can easily detect and retrieve information about changes and obtain answers to questions such as when the change occurs and how long it takes, and which elements are affected by those changes. This information will not be restricted to a single business process but to a collection of process variants. {\textcopyright} 2022 IEEE.},
	keywords = {Business Process, Change logs, Change mining, Change tree method, Component, Configurable process mining, Configurable process models, Data mining, Forestry, Process mining, Tree method, Unexpected events},
	doi = {10.1109/IRASET52964.2022.9738005},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127982693\&doi=10.1109\%2fIRASET52964.2022.9738005\&partnerID=40\&md5=2c6cd5ffd83ee6a993a4045f7235ecdc},
	author = {Hmami, A. and Sba{\"\i}, H. and Fredj, M.}
}
@article {Habba2021174,
	title = {Aligning Software System Level with Business Process Level through Model-Driven Architecture},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {12},
	number = {10},
	year = {2021},
	note = {cited By 1},
	pages = {174-183},
	abstract = {Information systems are intended to provide organisations with a new way of sustaining themselves, by helping them manage their activities using innovative technologies. Information systems require aligned levels for maximum effectiveness. In this context, business and information technology (IT) alignment is an important issue for the success of organisations. This paper presents the first step of the proposed approach to align the software system level, modelled by a Unified Modeling Language (UML) class diagram, with the business process level, modelled by the Business Process Model and Notation (BPMN) model. A model-driven architecture approach is proposed as a means to transform a set of BPMN models into a UML class diagram. A set of transformation rules is proposed, followed by guidelines that help apply those rules. {\textcopyright} 2021},
	keywords = {Business Process, Business process model and notation (BPMN), Computer software, Information management, Information systems, Information use, Innovative technology, Model driven architectures, Model-driven architecture approaches, Software architecture, Software design, Transformation rules, UML class diagrams, Unified Modeling Language, Unified modeling language class diagrams},
	doi = {10.14569/IJACSA.2021.0121020},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119658852\&doi=10.14569\%2fIJACSA.2021.0121020\&partnerID=40\&md5=dcda8435272d6d8736ff7112ffa683f0},
	author = {Habba, M. and Fredj, M. and Chaouni, S.B.}
}
@conference {Hmami2021,
	title = {Enhancing change mining from a collection of event logs: Merging and Filtering approaches},
	booktitle = {Journal of Physics: Conference Series},
	volume = {1743},
	number = {1},
	year = {2021},
	note = {cited By 3},
	abstract = {An event log is the key element of all change mining and process mining approaches. Those approaches bridge the gap between conventional business process management and data analysis techniques such as machine learning and data mining. In this day, companies and business organizations usually use a family of business processes that may face different variations and adjustments. Still, those processes are widely identical, with a slight difference in specific points. Consequently, performing a process mining or a change mining for each process will be a redundant task. The use of a configurable process model is a practical solution for redundancy problem. Thus, the process mining areas such as discovering verifying the conformity of a business process and enhancing processes, are reduced considerably. However, the configurable process models and the variability concept are rarely introduced in change mining approaches. The existing methods that analyse and manage event logs do not then consider the variability issue. Therefore, the fact of using a collection of event log becomes a challenging task. Our proposed approach is to merge and filter a collection of event logs from the same family with respect to variability. Our goal is to enhance change mining from a collection of event logs and detect changes in variable fragments of the obtained event log. {\textcopyright} Published under licence by IOP Publishing Ltd.},
	keywords = {Business organizations, Business Process, Business process management, Configurable process models, Data analysis techniques, Data mining, Data Science, Enterprise resource management, Filtration, Practical solutions, Redundancy problems, Variable fragment},
	doi = {10.1088/1742-6596/1743/1/012020},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101766097\&doi=10.1088\%2f1742-6596\%2f1743\%2f1\%2f012020\&partnerID=40\&md5=b0f4b6f1485dd0ca46c497f084c56c74},
	author = {Hmami, A. and Sba{\"\i}, H. and Fredj, M.}
}
@article {Hmami2021632,
	title = {Handling Sudden and Recurrent Changes in Business Process Variability: Change Mining based Approach},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {12},
	number = {4},
	year = {2021},
	note = {cited By 1},
	pages = {632-640},
	abstract = {Changes are random and unavoidable actions in business processes, and they are frequently overlooked by managers, especially when managers need to deal with a collection of process variants. Because they must manage every single business process variant separately which is a timeconsuming task. They exist many approaches to manage a collection of business process and deal with variability. Such as process mining approaches, that can discover configurable business process models, enhancing them and verify conformity automatically. However, those approaches do not cover changes and concept drift that occur over time. This paper presents a novel change mining approach that discovers changes in a collection of event logs and reports them on a change log. This change log can be analyzed to determine whether the changes are sudden or recurrent and recommend afterward some improvement to the configurable process model. {\textcopyright} 2021. All Rights Reserved.},
	keywords = {Business Process, Change logs, Change mining, Component, Concept drifts, Configurable process models, Data mining, Managers, Process mining, Process variants, Sudden change, Variability},
	doi = {10.14569/IJACSA.2021.0120479},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105804608\&doi=10.14569\%2fIJACSA.2021.0120479\&partnerID=40\&md5=826c6a1f82674abf6a9a671f65401022},
	author = {Hmami, A. and Fredj, M. and Sba{\"\i}, H.}
}
@conference {Hmami2020,
	title = {A new Framework to improve Change Mining in Configurable Process},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2020},
	note = {cited By 1},
	abstract = {The configurable process model is an important approach to reduce the redundancy involved in modeling, reengineering, and adapting a business process with its environment. While process mining approaches aim to discover and, verify conformance and enhance a process, connecting configurable processes and process mining shows considerable improvements, especially in terms of time and cost. However, the configurable process has rarely been applied in change mining. Our goal in this paper is to highlight the importance of using variability to improve change mining from a collection of event logs. We propose a framework that can detect and recommend changes, by mining changes from a collection of event logs. The main purpose is to allow engineers and business process designers to easily adjust business process with the environment changes. {\textcopyright} 2020 ACM.},
	keywords = {Business Process, Change mining, Configurable process models, Data mining, Environment change, Event logs, Information systems, Information use, Process mining},
	doi = {10.1145/3386723.3387853},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123042985\&doi=10.1145\%2f3386723.3387853\&partnerID=40\&md5=cbdd186e5e2298cef0babe5bb443e4d0},
	author = {Hmami, A. and Sba{\"\i}, H. and Fredj, M.}
}
@article {Oufkir2016242,
	title = {Knowledge management performance measurement: A generic framework},
	journal = {Communications in Computer and Information Science},
	volume = {615},
	year = {2016},
	note = {cited By 0},
	pages = {242-254},
	abstract = {This theoretical article aims to propose a generic framework for measuring performance of Knowledge Management (KM) projects based on critical literature review. The proposed framework fills the existing gap on KM performance measurement in two points: (i) it provides a generic tool that is able to assess all kinds of KM project as well as the overall organization KM, (ii) it assesses KM projects according to KM objectives in a generic manner. Our framework (GKMPM) relies on a process reference model that provides a KM common understanding in a process based view. It is based on a goal-oriented measurement approach and considers that KM performance dimensions are stakeholder{\textquoteright}s objectives. The framework application follows a procedural approach that begins with the KM project modelling, followed by the objectives prioritization. The next step consists of collecting and analysing data for pre-designed measures, and produces a set of key performance indicators (KPIs) related to the KM project processes and in accordance with its objectives. {\textcopyright} Springer International Publishing Switzerland 2016.},
	doi = {10.1007/978-3-319-40180-5_17},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979022041\&doi=10.1007\%2f978-3-319-40180-5_17\&partnerID=40\&md5=7353ebf3c020ba8a9bc9458832afda06},
	author = {Oufkir, L. and Fredj, M. and Kassou, I.}
}
@conference {Oufkir20162744,
	title = {Towards a reference model for Knowledge Management performance measurement},
	booktitle = {Proceedings of the 27th International Business Information Management Association Conference - Innovation Management and Education Excellence Vision 2020: From Regional Development Sustainability to Global Economic Growth, IBIMA 2016},
	year = {2016},
	note = {cited By 0},
	pages = {2744-2755},
	abstract = {Knowledge Management (KM) projects are socio-technical systems that enable knowledge activities and ensure that the right knowledge gets to the right person at the right time. The growing number of KM applications confirms the need for a performance measurement model able to assess the diversity of KM initiatives in order to rationalize their usage. To the best of our knowledge, a generic KM model for performance measurement fitting any kind of KM projects is missing in the literature. Instead, existing approaches are specific to a particular KM project or assess the overall KM of the organization. In this paper, we propose a KM model for performance measurement that is built on existing KM models literature and enhanced with theoretical findings. It also follows the reference modelling design process in view of producing a high quality model. Copyright {\textcopyright} 2016 International Business Information Management Association},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984611689\&partnerID=40\&md5=6ee42ddfe7a2a3ce0b1f2f99f09aa05b},
	author = {Oufkir, L. and Fredj, M. and Kassou, I.}
}
@conference {ElFaquih2015,
	title = {Configurable process models: A semantic validation},
	booktitle = {2015 10th International Conference on Intelligent Systems: Theories and Applications, SITA 2015},
	year = {2015},
	note = {cited By 1},
	abstract = {Nowadays, variability management has been introduced in the field of business process modeling by means of the configurable process models solution, with a view to resolving problems of redundancy and design time errors. Nevertheless, the existing approaches of variability modeling lack of semantic representation, and consequently, present many limits regarding automation of modeling, configuring and evolving configurable processes. Recently, semantic web technologies, especially ontologies, have been proposed in order to increase the level of automation and reduce human intervention in different domains. Business process management has benefited from the emergence of these technologies and the concept of semantic business process management appeared to make the whole business process accessible to intelligent queries as for machine reasoning. Whereas most approaches focus on providing mechanisms for modeling and configuring process models, their validation was treated syntactically rather than semantically. In this paper, we propose an ontology-based approach to enhance configurable processes validation using ontologies. {\textcopyright} 2015 IEEE.},
	doi = {10.1109/SITA.2015.7358436},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962355570\&doi=10.1109\%2fSITA.2015.7358436\&partnerID=40\&md5=05f3833dcf81fed54a94453d9d919358},
	author = {El Faquih, L. and Sba{\"\i}, H. and Fredj, M.}
}
@article {Sbai2015111,
	title = {Generating services supporting variability from configurable process models},
	journal = {Journal of Theoretical and Applied Information Technology},
	volume = {72},
	number = {1},
	year = {2015},
	note = {cited By 0},
	pages = {111-124},
	abstract = {Today, a PAIS (Process-Aware Information System) is the broadly adopted information system by enterprises, which aims to define how to use services and business processes to achieve the business goals of enterprises. For this purpose, research work in PAIS was interested in aligning business processes and services in order to achieve a good connection between business process models as represented in the process layer, and service models as represented in the application layer In this context, to improve the reuse of business processes and services, the concepts of configurable process models and configurable services (which support variability) have emerged as new leading edge concepts for improving reuse. Indeed, variability refers to the characteristic of a system to adapt, specialize and configure itself with the context of use. More recently, configurable process models become the most popular solution to deal with adaptability in a PAIS. This has increased the research focus in how to extract services from configurable process models. Several approaches have developed solutions for proposing services generation from business process. However, generating configurable services from configurable process model has been neglected in the context of PAIS. In this paper, we propose an MDA approach for an automatic generation of configurable service models from configurable process models. {\textcopyright} 2005 - 2015 JATIT \& LLS. All rights reserved.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922695803\&partnerID=40\&md5=c3ae357bd43958ac23a5336e13ba61e6},
	author = {Sba{\"\i}, H. and Fredj, M. and Chakir, B.}
}
@conference {Guilavogui201543,
	title = {Integrating linked sensor data for on-line analytical processing on-the-fly},
	booktitle = {Colloquium in Information Science and Technology, CIST},
	volume = {2015-January},
	number = {January},
	year = {2015},
	note = {cited By 0},
	pages = {43-47},
	abstract = {Sensor networks are gaining more and more attention in the current technology landscape. It is undeniable that their use allows a better monitoring of events that occur in the real world. Many sensors have been deployed for monitoring applications such as environmental monitoring, and traffic monitoring. A number of governments, corporates, and academic organizations or agencies hold independently sensor systems that generate a large amount of dynamic information from data sources with various formats of schemas and data. They are making this sensor data openly accessible by publishing it as Linked Sensor Data (LSD) on the Linked Open Data (LOD) cloud. LSD is the concept that defines the publication of public or private organization sensor data without restrictions. This is achieved by transforming raw sensor observations to RDF format and by linking it with other datasets on the LOD cloud. The seamless integration of LSD sources from multiple providers is a great challenge. In this paper, we investigate the possibility of integrating diverse LSD sources using the hybrid ontology approach for on-line analytical processing (OLAP) on-the-fly. With such an ontology-based integration framework, organizations or individuals will have greater opportunity to make their respective analysis based on a large amount of sensor data openly accessible on the Web. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/CIST.2014.7016592},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938083080\&doi=10.1109\%2fCIST.2014.7016592\&partnerID=40\&md5=b7cd435ce00931bc4db7cd93a4aeaa1b},
	author = {Guilavogui, K. and Kjiri, L. and Fredj, M.}
}
@conference {Faquih20151,
	title = {Towards a semantic enrichment of configurable process models},
	booktitle = {Colloquium in Information Science and Technology, CIST},
	volume = {2015-January},
	number = {January},
	year = {2015},
	note = {cited By 2},
	pages = {1-6},
	abstract = {In recent years, the concept of Semantic business process management has attracted significant research work, with the emergence of semantic web technologies (SW), which aimed to describe resources in a formal representation with clearly defined semantics in order to be machine-readable. Enriching business process with semantics improves the representation of processes and permits the automation of different tasks such as modeling, configuration, evolution, and promotes more flexible and adaptive solutions according to business requirement changes. Nowadays, the key concept of reuse in Business Process Management is the Configurable Process Model (CPM) solution which is an important approach for reusing and customizing business process models with a set of process variants. However, existing approaches in CPM lack of semantic representation. In this paper, we propose an ontology-based approach for enriching Configurable Process Models with semantics, as a first step towards the enhancement of the CPM evolution process. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/CIST.2014.7016585},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938088544\&doi=10.1109\%2fCIST.2014.7016585\&partnerID=40\&md5=3fe8210773c4d071e489ee75f3bf7189},
	author = {Faquih, L.E. and Sba{\"\i}, H. and Fredj, M.}
}
@conference {Guilavogui2014281,
	title = {A hybrid strategy for integrating sensor information},
	booktitle = {ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems},
	volume = {1},
	year = {2014},
	note = {cited By 0},
	pages = {281-286},
	abstract = {The combination of sensor networks with databases has led to a large amount of real-time data to be managed, and this trend will still increase in the next coming years. With this data explosion, current integration systems have to adapt. One of the main challenges is the integration of information coming from autonomously deployed sensor networks, with different geographical scales, but also with the combination of such information with other sources, such as legacy systems. Two main approaches for integrating sensor information are generally used: virtual and warehousing approaches. In the virtual approach, sensor devices are considered as data sources and data are managed locally. In contrast, in the warehousing approach, sensor data are stored in a central database and queries are performed on it. However, these solutions turn out to be difficult to exploit in the current technology landscape. This paper focuses on the issue of integrating multiple heterogeneous sensor information and puts forward a framework for decision making process.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902319248\&partnerID=40\&md5=eed05f56f6af14fa6195619f958c6b85},
	author = {Guilavogui, K. and Kjiri, L. and Fredj, M.}
}
@conference {Sbai2014616,
	title = {On managing evolution of configurable services based on configurable processes},
	booktitle = {2014 2nd World Conference on Complex Systems, WCCS 2014},
	year = {2014},
	note = {cited By 0},
	pages = {616-621},
	abstract = {Today, SOA is the most dominant and broadly adopted architecture style by enterprises. It defines how to use services to achieve business goals, and allows interoperability with multiple customers within different business domains. The growing use of SOA has increased research interest on how to improve the reuse of services. Hence, managing services variability was introduced by many approaches as a new leading edge concept for improving reuse. Indeed, variability refers to the characteristic of a system to adapt, specialize and configure itself with the context of use. Several proposals have been made in this respect. However, none of these seem to deal with the evolution of these configurable services. In service oriented systems, the evolution of services is usually introduced by the evolution of the associated business process. Therefore, if a configurable process model (CPM for short) should evolve in reaction to changing business needs, the associated configurable services (CS for short) are also impacted by this change. In our previous work, we proposed a complete methodology for managing evolution in configurable process models. In this paper, we extend our proposed approach to develop an evolution process for managing the changes of configurable services (variable services) caused by changing the associated configurable process model. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/ICoCS.2014.7060934},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988220675\&doi=10.1109\%2fICoCS.2014.7060934\&partnerID=40\&md5=371668ec9f07b988342b6b176b8c7d7e},
	author = {Sba{\"\i}, H. and Fredj, M. and Chakir, B. and Kjiri, L.}
}
@conference {Faquih2014131,
	title = {Semantic variability modeling in business processes: A comparative study},
	booktitle = {2014 9th International Conference for Internet Technology and Secured Transactions, ICITST 2014},
	year = {2014},
	note = {cited By 2},
	pages = {131-136},
	abstract = {Business Process Management (BPM) is an approach that aligns information systems (IT view) with business processes (Business view). Both the dynamic environment of business and the fast changes in requirements have created the need to reuse business processes in order to gain in cost and time. To enhance reuse in BPM, significant research efforts have been made on the development of methods and languages in order to support variability modeling. However, there is no single standard for modeling variability in configurable process models. Each modeling language integrating variability proposes its own method for representing variability, and different representations are used to express the same variability concepts. In addition to that, human intervention is still mandatory in order to create, configure and evolve configurable process models. With semantic annotations and the usage of ontology, these tasks could be automated. In this paper, we propose a comparative study to assess variability modeling approaches in software engineering domains, which include software product line engineering, services engineering and process engineering. This comparative study is conducted in terms of semantics use. {\textcopyright} 2014 Infonomics Society.},
	doi = {10.1109/ICITST.2014.7038792},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962362206\&doi=10.1109\%2fICITST.2014.7038792\&partnerID=40\&md5=f5188b09e77e3ca69d35da9a3d953678},
	author = {Faquih, L.E. and Sba{\"\i}, H. and Fredj, M.}
}
@conference {Sbai20141082,
	title = {Support for resources changes in configurable process models},
	booktitle = {International Conference on Multimedia Computing and Systems -Proceedings},
	year = {2014},
	note = {cited By 1},
	pages = {1082-1087},
	abstract = {Today, researches on business process models reuse are interested in configurable process modeling which is an important approach for reusing and customizing business process models with a set of process variants. However, enterprises are involved in a competitive environment which imposes them to often evolve their configurable process models in terms of activity, data and resource. So, creating configurable process models becomes insufficient since the configurable process models should evolve to meet new needs. To address this issue, we propose a reusable process patterns system for guiding designers in managing changes and evolution of configurable process models. In this paper, we focus on how to manage resources changes. We present one pattern of our proposed system, the variation point resource insertion process pattern. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/ICMCS.2014.6911319},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928751275\&doi=10.1109\%2fICMCS.2014.6911319\&partnerID=40\&md5=c8fd1066a03aedd1bcdb5fedc72a9dec},
	author = {Sba{\"\i}, H. and Fredj, M. and Kjiri, L.}
}
@conference {Sbai2013382,
	title = {Towards a process patterns based approach for promoting adaptability in configurable process models},
	booktitle = {ICEIS 2013 - Proceedings of the 15th International Conference on Enterprise Information Systems},
	volume = {3},
	year = {2013},
	note = {cited By 3},
	pages = {382-387},
	abstract = {Reference process modeling approach has been proposed in order to provide a generic solution for reuse in business process management. These models are intended to be adapted by different organizations to respond to new requirements. As a result of this adaptation, a set of variants of the reference process model must be managed. In this context, configurable solutions have been developed to manage variability by integrating all possible configurations. However, enterprises are involved in competitive and complex environments which impose them to often adapt their configurable process models to deal with the increasing globalisation. Therefore, configurable process models should evolve over time in terms of activities, resources and data to meet new needs. In this paper, we propose a process patterns based approach to guide designers in evolving configurable process models at design time as a first step of our contribution to provide an automated support for evolving configurable process models. The presentation of our process patterns system is limited in this paper to the Activity Insertion Process Pattern.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887716124\&partnerID=40\&md5=f45ed794bc8aa6fa44256d12d21c58e4},
	author = {Sba{\"\i}, H. and Fredj, M. and Kjiri, L.}
}
@conference {Sbai201222,
	title = {A process pattern for managing evolution of configurable reference process models},
	booktitle = {CiSt 2012 - Proceedings: 2012 Colloquium in Information Science and Technology},
	year = {2012},
	note = {cited By 1},
	pages = {22-25},
	doi = {10.1109/CIST.2012.6388057},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872551237\&doi=10.1109\%2fCIST.2012.6388057\&partnerID=40\&md5=631ccb9b68bc1ab1c8ad1eb6e57c7078},
	author = {Sba{\"\i}, H. and Fredj, M. and Kjiri, L.}
}
@conference {Chakir2012712,
	title = {Promoting reuse in web services by managing variability},
	booktitle = {Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012},
	year = {2012},
	note = {cited By 1},
	pages = {712-717},
	doi = {10.1109/ICMCS.2012.6320274},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869766502\&doi=10.1109\%2fICMCS.2012.6320274\&partnerID=40\&md5=104c8628b364c9f064f0d3f0f3024f6a},
	author = {Chakir, B. and Fredj, M. and Nassar, M.}
}
@conference {Chaouni2011496,
	title = {Metamodels for models complete integration},
	booktitle = {Proceedings of the 2011 IEEE International Conference on Information Reuse and Integration, IRI 2011},
	year = {2011},
	note = {cited By 1},
	pages = {496-497},
	doi = {10.1109/IRI.2011.6009602},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80053143653\&doi=10.1109\%2fIRI.2011.6009602\&partnerID=40\&md5=fa10821cadbaa9b876be2fe6f7c4eaa5},
	author = {Chaouni, S.B. and Fredj, M. and Mouline, S.}
}
@conference {Chakir2011247,
	title = {A model driven approach supporting multi-view services modeling and variability management},
	booktitle = {ICEIS 2011 - Proceedings of the 13th International Conference on Enterprise Information Systems},
	volume = {3 ISAS},
	year = {2011},
	note = {cited By 1},
	pages = {247-252},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865115383\&partnerID=40\&md5=8d20ae53821fcb49c60dc00b0c90af72},
	author = {Chakir, B. and Fredj, M.}
}
@conference {Chakir2011296,
	title = {Towards a modeling method for managing variability in SOA},
	booktitle = {Proceedings of the IADIS International Conference Information Systems 2011, IS 2011},
	year = {2011},
	note = {cited By 2},
	pages = {296-300},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944077308\&partnerID=40\&md5=3985e7466b5f7b096ad1611dc605f794},
	author = {Chakir, B. and Fredj, M.}
}
@conference {Saidi2009165,
	title = {Component-based development: extension with business component reuse},
	booktitle = {Proceedings of the 2009 3rd International Conference on Research Challenges in Information Science, RCIS 2009},
	year = {2009},
	note = {cited By 4},
	pages = {165-176},
	doi = {10.1109/RCIS.2009.5089280},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349443666\&doi=10.1109\%2fRCIS.2009.5089280\&partnerID=40\&md5=6523b0f43c33b8e1ceafc58fa7995adc},
	author = {Saidi, R. and Front, A. and Rieu, D. and Fredj, M. and Mouline, S.}
}
@conference {Saidi200834,
	title = {From a business component to a functional component using a multi-view variability modelling},
	booktitle = {CEUR Workshop Proceedings},
	volume = {341},
	year = {2008},
	note = {cited By 0},
	pages = {34-45},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84880270864\&partnerID=40\&md5=a41f8a90d0ebc85278fb768842e390fe},
	author = {Saidi, R. and Front, A. and Rieu, D. and Fredj, M. and Mouline, S.}
}
@conference {Saidi200853,
	title = {Specification of business components: An approach by multi-view variability expression [Sp{\'e}cification de composants m{\'e}tier: Une approche par expression de variabilit{\'e} multi-vue]},
	booktitle = {XXVIeme Congres INFORSID 2008},
	year = {2008},
	note = {cited By 0},
	pages = {53-68},
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	author = {Saidi, R. and Fredj, M. and Mouline, S. and Front, A. and Rieu, D.}
}
@conference {Saidi2008730,
	title = {Variability modeling for Business Component customization},
	booktitle = {Proceedings - IEEE Symposium on Computers and Communications},
	year = {2008},
	note = {cited By 3},
	pages = {730-735},
	doi = {10.1109/ISCC.2008.4625644},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-55849092557\&doi=10.1109\%2fISCC.2008.4625644\&partnerID=40\&md5=04315f0e284ab3996e6302eee0e4e6fd},
	author = {Saidi, R. and Fredj, M. and Mouline, S. and Front, A. and Rieu, D.}
}
