@conference {Mohammed2022,
	title = {Current Research Trends in Fake News Areas: A Systematic Mapping Study},
	booktitle = {2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2022},
	year = {2022},
	note = {cited By 0},
	abstract = {Nowadays, online news plays an important role in people{\textquoteright}s decisions and behaviors. Some of this news shared on the web may contain deceptive in-formation to mislead those peoples which may cause uncertainty and confusion such in election choices and purchasing decision. Thereafter, fake news is becoming a trending area of research. However, fake news can be differentiated into several subcategories, such as fake reviews, Propaganda, Ru-mor, spams etc. In this paper, fake news studies are analyzed and classified based on their focus areas, this helps to understand that which fake news areas have higher concentrations of research efforts and which area requires the research attention. The systematic study is conducted by planning the mapping protocol defining the search process that planned to be executed using set of inclusion and exclusion criteria on two bibliographic databases (Scopus and IEEE explore) which aims to include relevant papers related to our work in order to identify what the research trends in fake news are. {\textcopyright} 2022 IEEE.},
	keywords = {{\textquoteright}current, Deceptive information, Disinformation, Fake news, Information services, Mapping, Misinformation, Online news, Purchasing decisions, Research trends, Systematic mapping studies, Uncertainty},
	doi = {10.1109/IRASET52964.2022.9737869},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141118886\&doi=10.1109\%2fIRASET52964.2022.9737869\&partnerID=40\&md5=2ab3889a7ccff7952519e091ca8cf217},
	author = {Mohammed, E. and Zellou, A.}
}
@conference {Rassam202278,
	title = {Fuzzy Logic-based N-gram Graph Technique for Evaluating Textual Documents Indexes},
	booktitle = {2022 4th International Conference on Computer Communication and the Internet, ICCCI 2022},
	year = {2022},
	note = {cited By 0},
	pages = {78-82},
	abstract = {Fuzzy logic is a term that is used more and more often by researchers specialized in information retrieval and indexing. It is supposed to fill the gaps of the current domain by adding meaning to the information. In this article, the main goal is introducing the fuzzy logic approach in the field of the representation of a corpus of documents, more precisely in the proposal of a new method based on fuzzy functions that allow the evaluation of the generated indexes of a specific corpus.The evaluation is based on calculating the degrees of relevance of a term in relation to another whether it is in the same document of the corpus or in two or more completely different documents of the same corpus. {\textcopyright} 2022 IEEE.},
	keywords = {{\textquoteright}current, Computer circuits, Degree of relevance, Fuzzy function, Fuzzy logic, Fuzzy logic approach, Fuzzy-Logic, Graph technique, Indexing, Indexing (of information), N-grams, Textual documents},
	doi = {10.1109/ICCCI55554.2022.9850268},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137083735\&doi=10.1109\%2fICCCI55554.2022.9850268\&partnerID=40\&md5=3d771186a1a254dd249e3647a64918b2},
	author = {Rassam, L. and Aldiebesghanem, C. and Zellou, A. and Lahmar, E.B.}
}
@conference {Miloudi2022,
	title = {Maintenance Effort Estimation for Open Source Software: Current trends},
	booktitle = {CEUR Workshop Proceedings},
	volume = {3272},
	year = {2022},
	note = {cited By 0},
	abstract = {Software maintenance of Open Source Software (OSS) has gained more attention in recent years and facilitated by the help of the Internet. Since volunteers in OSS do not record the effort of their contribution in maintenance tasks, researchers have to indirectly estimate the maintenance effort of such software. A review of the published OSS-MEE models has been performed using a set of 65 selected studies in a Systematic Mapping Study (SMS). This study analyses, discusses the state of the art about O-MEE and identifies trends through five additional Mapping Questions (MQs). In summary, various maintenance effort estimation (MEE) models were developed for OSS or industrial software. Researchers have mostly expressed the maintenance effort in terms of bug fixing, bug resolution time and severity in conjunction with bug report attributes. Regression Analysis and Bayesian Networks were most used estimation techniques, Recall, Precision, R2 and F-measure evaluation criteria in addition to k-fold cross validation method. Most of the models were implemented using WEKA, R software and MATLAB. More than half of the selected studies lacked of any validity analysis of their results. Trends are also discussed to identify a set of implications for researchers. {\textcopyright} 2020 Copyright for this paper by its authors.},
	keywords = {{\textquoteright}current, Bayesian networks, Bug-fixing, Computer software maintenance, Effort Estimation, Effort estimation model, Industrial software, Maintenance efforts, Maintenance tasks, Mapping, MATLAB, Open source software, Open systems, Open-source softwares, Regression analysis, State of the art, Systematic mapping studies},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142872497\&partnerID=40\&md5=d5e99ad4babcbb3a4fd5f50001fae51c},
	author = {Miloudi, C. and Cheikhi, L. and Abran, A. and Idri, A.}
}
@article {Korachi2022619,
	title = {Towards a Smart City Approach: A Comparative Study},
	journal = {Smart Innovation, Systems and Technologies},
	volume = {237},
	year = {2022},
	note = {cited By 0},
	pages = {619-633},
	abstract = {There are conflicts and ambiguity regarding smart city strategies. Some works present smart city processes with vague and inconsistent steps. While others propose smart city elements and dimensions, rather than providing a clear and holistic approach. The most of smart city strategy works overlap one another, which creates ambiguity for smart city leaders. To fill this gap and reduce this ambiguity, the current paper presents and describes the main components of a smart city strategy framework, which are: strategic vision, action plan, and management strategy. To evaluate the relevance of these elements, the present paper conducts a comparative study. {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.},
	keywords = {{\textquoteright}current, Action plan, Approach, Comparatives studies, Computer programming, Framework, Holistic approach, Management strategies, Smart city, Strategic vision, Strategy},
	doi = {10.1007/978-981-16-3637-0_44},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116864583\&doi=10.1007\%2f978-981-16-3637-0_44\&partnerID=40\&md5=048c5bb0571b63d5ec7153286ae7a8bc},
	author = {Korachi, Z. and Bounabat, B.}
}
@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 {Nejjari2021,
	title = {Conflict spectrum: An empirical study of geopolitical cyber threats from a social network perspective},
	booktitle = {2021 8th International Conference on Social Network Analysis, Management and Security, SNAMS 2021},
	year = {2021},
	note = {cited By 0},
	abstract = {The current evolution of the cyber-threat ecosystem shows that no state or organization is safe from cyber threats. It is therefore important to understand factors that may influence cyber risk. In this paper, we highlight the geopolitical context of cyber threats. The key idea is to verify the assumption that cyber threats are correlated to geopolitical events. We use social network techniques to model our problem as a network. We investigate the relationship between cyber threats and geopolitical events through the measure of similarity between two graphs using the QAP-correlation method. To verify this assumption empirically, we use data from the GDELT project. The results of QAP-correlation measure show a significant similarity between the cyber events graph and the geopolitical events graph in terms of graph isomorphism and structure. {\textcopyright} 2021 IEEE.},
	keywords = {{\textquoteright}current, Cyber threats, Empirical studies, Event graphs, Geopolitical events, QAP-correlation, Similarity, Social Network Analysis, Spectra{\textquoteright}s, Use social networks},
	doi = {10.1109/SNAMS53716.2021.9732155},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127404986\&doi=10.1109\%2fSNAMS53716.2021.9732155\&partnerID=40\&md5=d81465c991f5d449e0db9613f3c31aa7},
	author = {Nejjari, N. and Lahlou, S. and Fadi, O. and Zkik, K. and Oudani, M. and Benbrahim, H.}
}
