@article {Daoudi2022505,
	title = {Adaptive Enterprise Architecture: Complexity Metrics in a Mixed Evaluation Method},
	journal = {Lecture Notes in Business Information Processing},
	volume = {455 LNBIP},
	year = {2022},
	note = {cited By 0},
	pages = {505-523},
	abstract = {Classically, enterprises future is intertwined with the needs and demands of society. Nowadays, in addition to those two elements, challenges are becoming more and more numerous and unavoidable. Saying a few, global warming, social responsibilities, Covid 19, digital transformation{\textellipsis} We are living in a new era that is highly volatile and unpredictable. We don{\textquoteright}t have anymore the privilege to choose threats and opportunities that we want to adapt to. In fact adaptation becomes a necessity to survive in this highly competitive and dynamic environment. Factors coming from those challenges externally on top of internal ones can impact various parts of the enterprise in the form of changes. Thus, Adaptive Enterprise Architecture (EA) is leveraged to assist the continuous adaptation to the evolving transformation. On the other hand, one of the criteria of Adaptive EA is the ability to monitor and control the complexity of changes. In this paper, we suggest a mixed approach of EA complexity measurement based on quantitative and qualitative analysis. First, we begin with a recap of the criteria shaping our Adaptive Enterprise Architecture approach and we give an overview of the model that we worked on in previous work. Then we investigate related work about complexity and subjective measurement. Finally, we describe our mixed approach of assessment of complexity and we focus on the calculation of some objective and subjective metrics. {\textcopyright} 2022, Springer Nature Switzerland AG.},
	keywords = {Adaptation, Adaptive enterprise, Complexity, Complexity measurement, Complexity metrics, Dynamic environments, enterprise architecture, Evaluation methods, Global warming, Memory architecture, Mixed approach, Social responsibilities},
	doi = {10.1007/978-3-031-08965-7_26},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135013677\&doi=10.1007\%2f978-3-031-08965-7_26\&partnerID=40\&md5=0f86e1df30e1a710a67e90c0238de8f1},
	author = {Daoudi, W. and Doumi, K. and Kjiri, L.}
}
@conference {Daoudi2021759,
	title = {Complexity and Adaptive Enterprise Architecture},
	booktitle = {International Conference on Enterprise Information Systems, ICEIS - Proceedings},
	volume = {2},
	year = {2021},
	note = {cited By 1},
	pages = {759-767},
	abstract = {In the current VUCA (Volatility, uncertainty, complexity and ambiguity) environment, enterprises are facing constant threats and opportunities due to internal and external factors. Those factors can impact various parts of the enterprise in the form of changes. Thus, Adaptive Enterprise Architecture (EA) is leveraged to assist the continuous adaptation to the evolving transformation. On the other hand, the complexity has been identified as one of the major challenges of the discipline of Enterprise Architecture. Moreover, one of the criteria of Adaptive EA is the ability to monitor and control the complexity of changes. Consequently, in this paper, we suggest a conceptualization of EA complexity measurement drilled down into factors and indicators. First, we begin with a brief summary of the criteria that we consider compulsory for Adaptive Enterprise Architecture and we give an overview of the model that we worked on in previous work. Then we investigate related work about complexity in a broader view. Finally, we describe our approach of assessment of complexity based on the proposed indicators. Copyright {\textcopyright} 2021 by SCITEPRESS - Science and Technology Publications, Lda.},
	keywords = {{\textquoteright}current, Adaptation, Adaptive enterprise, Complexity, Dynamic environments, enterprise architecture, Enterprise IS, Information systems, Information use, Internal and external factors, Monitor and control, Volatility uncertainties},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135024780\&partnerID=40\&md5=2aaf626491ca37f943bcb904a81c8e4f},
	author = {Daoudi, W. and Doumi, K. and Kjiri, L.}
}
@conference {Khannat2021768,
	title = {Configurable Process Mining: Semantic Variability in Event Logs},
	booktitle = {International Conference on Enterprise Information Systems, ICEIS - Proceedings},
	volume = {1},
	year = {2021},
	note = {cited By 0},
	pages = {768-775},
	abstract = {Configurable process model represents a reference model regrouping multiple business process variants. The configurable process models offer various benefits like reusability and more flexibility when compared to business process models. The challenges encountered while managing this type of models are related to the creation and the configuration. Recently, process mining offers techniques to discover, check conformance of models, and enhance configurable process models using a collection of event logs, that captures traces during the execution of process variants. However, existing works in configurable process discovery lack the incorporation of semantics in the resulting model. Historically, semantic process mining has been applied to event logs to improve process discovery with respect to semantic. Furthermore, from the best of our knowledge, configurable process mining approaches do not fully support semantics. In this paper, we propose a novel method to enrich the collection of event logs with configurable process ontology concepts by introducing semantic annotations that capture variability of elements present in the logs. This is a first step towards discovering a semantically enriched configurable process. Copyright {\textcopyright} 2021 by SCITEPRESS {\textendash} Science and Technology Publications, Lda. All rights reserved.},
	keywords = {Business Process, Configurable process model discovery, Configurable process models, Data mining, Event logs, Information systems, Model discoveries, Ontology, Ontology{\textquoteright}s, Process Discovery, Process mining, Process variants, Reference modeling, Reusability, Semantics},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137949536\&partnerID=40\&md5=dd49bcf12987200729d1f5e491d2994b},
	author = {Khannat, A. and Sba{\"\i}, H. and Kjiri, L.}
}
@conference {Daoudi2020,
	title = {Adaptive Enterprise Architecture: Towards a model},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2020},
	note = {cited By 0},
	abstract = {Nowadays, enterprises are facing many changes due to digital transformation. So, they have to deal with new requirements that impact various parts of their Enterprise Architecture. To address the needs created by this new digital era, agility and adaptation are compulsory. Though Enterprise Architecture (EA) was designed as a catalyst for change management, traditional Enterprise Architecture approaches do not rely on well-defined concepts, lack agility and are constrained by layered architecture (business layer, functional layer, deployment layer, etc.). Thus, a new generation of EA, allowing continuous self-improvement and proactive adaptation to better match the new conditions, is required. In this paper, we highlighted some criteria, regarding the adaptation of EA and exploited them to show the limitations of the EA approaches analyzed. Then, we presented agile methods principles and discussed the mapping between them and the criteria that we proposed before. Finally, we proposed a simplified model based on Scrum for adaptive enterprise architecture. {\textcopyright} 2020 ACM.},
	keywords = {Adaptive enterprise, Change management, Digital transformation, enterprise architecture, Functional layer, Information systems, Information use, Layered architecture, Model-based OPC, Proactive adaptations},
	doi = {10.1145/3447568.3448539},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103625235\&doi=10.1145\%2f3447568.3448539\&partnerID=40\&md5=4f7441d9a2cb09a9ffc18c39755d4958},
	author = {Daoudi, W. and Doumi, K. and Kjiri, L.}
}
@conference {Daoudi2020738,
	title = {An approach for adaptive enterprise architecture},
	booktitle = {ICEIS 2020 - Proceedings of the 22nd International Conference on Enterprise Information Systems},
	volume = {2},
	year = {2020},
	note = {cited By 4},
	pages = {738-745},
	abstract = {Given the fast emergence of new technologies and the highly changing business demands, enterprises are confronted with the need to keep up with the evolving transformation. This one is subject to internal and external factors which make it very often in the form of disruptive changes. As a consequence, various parts of companies{\textquoteright} Enterprise Architecture are impacted. To address the new requirements of these increasingly dynamic environments, enterprises need to transition from heavy and document-centred Enterprise Architecture Frameworks to more agile and continuously adaptive approaches. On the other hand, Agile Software Development (ASD) are commonly used methods for IT development. They are mainly characterized by the high involvement of the requester and the rapid accommodation to development needs. This paper presents an Adaptive Enterprise Architecture model that is inspired from some ASD values. Thus, we begin with a brief summary of the criteria that we consider compulsory for Adaptive Enterprise Architecture. Then we present the related work and the connection between agile values and our criteria. Finally, we describe our model and illustrate it via a case study. Copyright {\textcopyright} 2020 by SCITEPRESS {\textendash} Science and Technology Publications, Lda. All rights reserved},
	keywords = {Adaptive approach, Adaptive enterprise, Agile manufacturing systems, Agile software development, Business demands, Development needs, Dynamic environments, enterprise architecture, Information systems, Information use, Internal and external factors, Software design},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091394601\&partnerID=40\&md5=47480aba028e3e923b145c862859135c},
	author = {Daoudi, W. and Doumi, K. and Kjiri, L.}
}
@article {Sikal2020183,
	title = {Configurable process model: Discovery approach from event logs},
	journal = {Advances in Science, Technology and Engineering Systems},
	volume = {5},
	number = {1},
	year = {2020},
	note = {cited By 0},
	pages = {183-190},
	abstract = {In the domain of business process management, the configurable process model is widely used to optimize time and cost of business process models design, which is known as the concept of "reuse". Using process mining techniques for process model discovery helps to provide a better view on processes and improve quality of models. The majority of existing configurable model discovery approaches work intensively on control flow discovery as main process perspective without considering other perspectives such as resources and data, and do not propose a detailed discovery of variability elements. In addition, the configurable process model creation is generally done by merging variant models not directly from event logs, which is not the optimal way to get a reliable configurable process model. This paper presents an overview of new multi-perspective variability discovery approach. The approach respects the variability of different process perspectives and allows users to create a configurable process model directly from event logs. {\textcopyright} 2020 ASTES Publishers. All rights reserved.},
	doi = {10.25046/aj050124},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081330401\&doi=10.25046\%2faj050124\&partnerID=40\&md5=716f2277e1926d108d92b8a313d3bac9},
	author = {Sikal, R. and Sba{\"\i}, H. and Kjiri, L.}
}
@conference {Khannat2020139,
	title = {Event logs pre-processing for configurable process discovery: Ontology-based approach},
	booktitle = {Colloquium in Information Science and Technology, CIST},
	volume = {2020-June},
	year = {2020},
	note = {cited By 1},
	pages = {139-144},
	abstract = {Nowadays, process mining offers key tools for companies to discover and develop continuously their processes. Moreover, many research works focus on the application of process mining techniques to manage configurable process models. To provide configurable process models with high quality and less complexity using process mining techniques, the preparation of event logs before discovering processes is strongly required. Therefore, various approaches have introduced semantics to derive knowledge from process execution traces. Although, this knowledge is used for discovering variability rules or deriving process variants. However, existing works lack the discovery of semantically enriched configurable process models from event logs. Since event logs are usually combined with semantics and domain ontology for optimizing process mining applications, it seems to be important to introduce a new approach of semantically enriched configurable process discovery. It will be helpful during configuration, validation, and enhancement of configurable processes that are extracted from event logs. In this paper, we present a new framework for event logs preprocessing using ontologies. Our aim is to enrich a collection of event logs with concepts from ontologies as a first step towards discovering a semantically enriched configurable process. {\textcopyright} 2021 IEEE.},
	keywords = {Configurable process models, Data mining, Domain ontologies, New approaches, Ontology, Pre-processing, Process Discovery, Process execution, Process mining, Process variants, Semantics},
	doi = {10.1109/CiSt49399.2021.9357303},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103812408\&doi=10.1109\%2fCiSt49399.2021.9357303\&partnerID=40\&md5=c1a3e5ace97f4f0e5deedd34b987c311},
	author = {Khannat, A. and Sba{\"\i}, H. and Kjiri, L.}
}
@conference {Khannat202020,
	title = {Towards mining semantically enriched configurable process models},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2020},
	note = {cited By 0},
	pages = {20-24},
	abstract = {Providing configurable process model with high quality is a primary objective to derive process variants with better accuracy and facilitate process model reuse. For this purpose, many research works have been interested in configurable process mining techniques to discover and configure processes from event logs. Moreover, to use the knowledge captured by event logs when mining processes, the concept of semantic process mining is introduced. It allows for combining semantic technologies with process mining. Despite the diversity of works in mining and customizing configurable process models, the application of these techniques is still limited to use semantics in minimizing the complexity of discovered processes. However, it seems to be pertinent to discover semantically enriched configurable process models directly from event logs. Consequently, this can facilitate using semantic in configuring, verifying conformance or enhancing discovered configurable processes. In this paper, we present a comparative study of existing works that focus on mining configurable process models with respect to semantic technologies. Our aim is to propose a new framework to automatically discover semantically enriched configurable processes. {\textcopyright} 2020 ACM.},
	keywords = {Comparative studies, Configurable process models, Data mining, Intelligent systems, Mining process, Primary objective, Process mining, Process Modeling, Process variants, Semantic technologies, Semantic Web, Semantics},
	doi = {10.1145/3419604.3419797},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096408590\&doi=10.1145\%2f3419604.3419797\&partnerID=40\&md5=a77606eacf64646ccd3459e57f5cabdf},
	author = {Khannat, A. and Sba{\"\i}, H. and Kjiri, L.}
}
@conference {Sikal20181,
	title = {Configurable process mining: A comparative study},
	booktitle = {Proceedings of the 2018 International Conference on Optimization and Applications, ICOA 2018},
	year = {2018},
	pages = {1-6},
	doi = {10.1109/ICOA.2018.8370585},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048784383\&doi=10.1109\%2fICOA.2018.8370585\&partnerID=40\&md5=7c94107c941b68ce4932aa663659b32d},
	author = {Sikal, R. and Sba{\"\i}, H. and Kjiri, L.}
}
@conference {Sikal2018137,
	title = {Configurable Process Mining: Variability Discovery Approach},
	booktitle = {Colloquium in Information Science and Technology, CIST},
	volume = {2018-October},
	year = {2018},
	pages = {137-142},
	doi = {10.1109/CIST.2018.8596526},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061447388\&doi=10.1109\%2fCIST.2018.8596526\&partnerID=40\&md5=74eec99e91001d7dee97e25a580cf92e},
	author = {Sikal, R. and Sba{\"\i}, H. and Kjiri, L.}
}
@conference {Benaija2015106,
	title = {Hybrid approach for project portfolio selection based on the business strategy and the scoring model},
	booktitle = {5th International Conference on Innovative Computing Technology, INTECH 2015},
	year = {2015},
	note = {cited By 0},
	pages = {106-111},
	abstract = {From among numerous opportunities, organizations must select the projects they decide to pursue. The consequences of poor decisions can be extremely expensive. This is why many methods and models for project portfolio selection have been developed. In this paper, we propose a project portfolio selection approach that combines a business strategy method with a scoring model. The proposed hybrid approach also includes recommendations on the selection criteria provided. Two criteria are identified: the value and risk, the third is at the option of the organization for more flexibility. {\textcopyright} 2015 IEEE.},
	doi = {10.1109/INTECH.2015.7173476},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946572345\&doi=10.1109\%2fINTECH.2015.7173476\&partnerID=40\&md5=f2ea1bca34b1f93bcefcb7a3b9557da1},
	author = {Benaija, K. and Kjiri, L.}
}
@article {Benaija2015451,
	title = {Hybrid approach for project portfolio selection taking account of resources management and interactions between projects},
	journal = {Journal of Digital Information Management},
	volume = {13},
	number = {6},
	year = {2015},
	note = {cited By 0},
	pages = {451-461},
	abstract = {From among numerous opportunities, organizations must select the projects they decide to pursue. The consequences of poor decisions can be extremely expensive. This is why many methods and models for project portfolio selection have been developed. In this paper, we propose a project portfolio selection approach that combines essentially a business strategy method with a scoring model. The financial method is also present of the fact that the scoring model considers the financial value as an important criterion. The proposed hybrid approach also includes recommendations on the selection criteria provided. Two criteria are identified: the value and risk, the third is at the option of the organization for more flexibility. The approach provides a phase control on two elements: the management of resources and interactions between projects.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959232725\&partnerID=40\&md5=dfb8c730a2a801c9e09550897ae0f3d3},
	author = {Benaija, K. and Kjiri, L.}
}
@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 {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 {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 {Benaija2014447,
	title = {Trade off between risk management, value creation and strategic alignment in project portfolio management},
	booktitle = {ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems},
	volume = {3},
	year = {2014},
	note = {cited By 0},
	pages = {447-452},
	abstract = {Projects portfolio management allows the company to select, prioritize, integrate, manage and check its projects in a multi project context. In this paper, we consider a very important part of the projects portfolio management namely the selection of projects. Indeed, the greatest challenge for managers today is to be sure that the projects initiated achieve the strategic and financial objectives of the company. Our paper proposes a framework for project selection based on three main criteria: value creation, risk management and alignment with the business strategy. After a brief review of the literature regarding the basic concepts used, we propose bivariate analyses: risk-value, risk-alignment and value-alignment. Our contribution in this paper is to design a framework that realizes the trade-off between the three criteria.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902322001\&partnerID=40\&md5=92cfe2c0cd837f2b4a950d074a5e671a},
	author = {Benaija, K. 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 {Kassou20127,
	title = {A maturity metric based approach for eliciting SOA security requirements},
	booktitle = {Proceedings of the 2nd National Days of Network Security and Systems, JNS2 2012},
	year = {2012},
	note = {cited By 2},
	pages = {7-11},
	doi = {10.1109/JNS2.2012.6249231},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866706527\&doi=10.1109\%2fJNS2.2012.6249231\&partnerID=40\&md5=29a045d11fe306523cb377c5fea1d6ac},
	author = {Kassou, 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 {Kassou2012912,
	title = {SOASMM: A novel service oriented architecture Security Maturity Model},
	booktitle = {Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012},
	year = {2012},
	note = {cited By 2},
	pages = {912-918},
	doi = {10.1109/ICMCS.2012.6320279},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869852204\&doi=10.1109\%2fICMCS.2012.6320279\&partnerID=40\&md5=906b15ed80beeb81f8012097b9a6bb6f},
	author = {Kassou, M. and Kjiri, L.}
}
