@conference { ISI:000391420300054,
	title = {Requirements Specification of an e-Health Solution to Improve Cardiovascular Healthcare Services in Morocco},
	booktitle = {2016 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA)},
	series = {International Conference on Intelligent Systems, Theories and Applications},
	year = {2016},
	note = {11th International Conference on Intelligent Systems - Theories and Applications (SITA), Mohammedia, MOROCCO, OCT 19-20, 2016},
	publisher = {IEEE; Univ Hassan Casablanca; IEEE Morocco Sect; Fac Sci Tech Mohammedia},
	organization = {IEEE; Univ Hassan Casablanca; IEEE Morocco Sect; Fac Sci Tech Mohammedia},
	abstract = {Cardiovascular disease is the leading cause of deaths in the world. By analyzing data from health records this chronic disease can be better understood. This paper presents the software requirements specification (SRS) of an e-health solution to improve the cardiology healthcare quality and efficiency in Morocco. Based on this SRS, a mobile personal health record along with an electronic health record have been developed for the Autonomic Nervous System centre in Avicenne Hospital in Rabat. Requirements and characteristics of the mobile solution are detailed in this study. Moreover, an empirical evaluation has been conducted to assess and improve the quality of the mobile personal health record using the ISO/IEC 25010 standard.},
	isbn = {978-1-5090-5781-8},
	issn = {2378-2528},
	author = {Ouhbi, Sofia and Idri, Ali and Hakmi, Rachid and Benjelloun, Halima and Luis Fernandez-Aleman, Jose and Toval, Ambrosio}
}
@conference { ISI:000380431500135,
	title = {RBFN Networks-based Models for Estimating Software Development Effort: A Cross-validation Study},
	booktitle = {2015 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI)},
	year = {2015},
	note = {IEEE Symposium Series Computational Intelligence, Cape Town, SOUTH AFRICA, DEC 07-10, 2015},
	pages = {976-983},
	publisher = {IEEE; IEEE Computational Intelligence Soc; IEEE BigData},
	organization = {IEEE; IEEE Computational Intelligence Soc; IEEE BigData},
	abstract = {Software effort estimation is very crucial and there is always a need to improve its accuracy as much as possible. Several estimation techniques have been developed in this regard and it is difficult to determine which model gives more accurate estimation on which dataset. Among all proposed methods, the Radial Basis Function Neural (RBFN) networks models have presented promising results in software effort estimation. The main objective of this research is to evaluate the RBFN networks construction based on both hard and fuzzy C-means clustering algorithms using cross-validation approach. The objective of this replication study is to investigate if the RBFN-based models learned from the training data are able to estimate accurately the efforts of yet unseen data. This evaluation uses two historical datasets, namely COCOMO81 and ISBSG R8.},
	isbn = {978-1-4799-7560-0},
	doi = {10.1109/SSCI.2015.142},
	author = {Idri, Ali and Hassani, Aya and Abran, Alain}
}
@conference { ISI:000380431500128,
	title = {RBFN Networks-based Models for Estimating Software Development Effort: A Cross-validation Study},
	booktitle = {2015 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI)},
	year = {2015},
	note = {IEEE Symposium Series Computational Intelligence, Cape Town, SOUTH AFRICA, DEC 07-10, 2015},
	pages = {925-932},
	publisher = {IEEE; IEEE Computational Intelligence Soc; IEEE BigData},
	organization = {IEEE; IEEE Computational Intelligence Soc; IEEE BigData},
	abstract = {Software effort estimation is very crucial and there is always a need to improve its accuracy as much as possible. Several estimation techniques have been developed in this regard and it is difficult to determine which model gives more accurate estimation on which dataset. Among all proposed methods, the Radial Basis Function Neural (RBFN) networks models have presented promising results in software effort estimation. The main objective of this research is to evaluate the RBFN networks construction based on both hard and fuzzy C-means clustering algorithms using cross-validation approach. The objective of this replication study is to investigate if the RBFN-based models learned from the training data are able to estimate accurately the efforts of yet unseen data. This evaluation uses two historical datasets, namely COCOMO81 and ISBSG R8.},
	isbn = {978-1-4799-7560-0},
	doi = {10.1109/SSCI.2015.136},
	author = {Idri, Ali and Hassani, Aya and Abran, Alain}
}
@article {10260344020150601,
	title = {Requirements engineering education: a systematic mapping study.},
	journal = {Requirements Engineering},
	volume = {20},
	number = {2},
	year = {2015},
	pages = {119 - 138},
	abstract = {Requirements engineering (RE) has attracted a great deal of attention from researchers and practitioners in recent years. Requirements engineering education (REE) is therefore an important undertaking if the field is to have professionals who are capable of successfully accomplishing software projects. This increasing interest demands that academia should provide software engineering students with a solid foundation in the subject matter. This paper aims to identify and to present the current research on REE that is available at present, and to select useful approaches and needs for future research. A systematic mapping study was therefore performed to classify the selected studies into five classification criteria: research type, empirical type, contribution type, RE activity, and curricula. A total of 79 papers were selected and classified according to these criteria. The results of this systematic mapping study are discussed, and a list of advice obtained from the REE literature fo},
	keywords = {Computer software, education, Engineering {\textendash} Study \& teaching, Mappings (Mathematics), Requirements engineering, Software engineering, Software requirements, Systematic mapping study},
	issn = {09473602},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=102603440\&site=ehost-live},
	author = {Ouhbi, Sofia and Idri, Ali and Fern{\'a}ndez-Alem{\'a}n, Jos{\'e} and Toval, Ambrosio}
}
@article { ISI:000357593500001,
	title = {Requirements engineering education: a systematic mapping study},
	journal = {REQUIREMENTS ENGINEERING},
	volume = {20},
	number = {2},
	year = {2015},
	month = {JUN},
	pages = {119-138},
	abstract = {Requirements engineering (RE) has attracted a great deal of attention from researchers and practitioners in recent years. Requirements engineering education (REE) is therefore an important undertaking if the field is to have professionals who are capable of successfully accomplishing software projects. This increasing interest demands that academia should provide software engineering students with a solid foundation in the subject matter. This paper aims to identify and to present the current research on REE that is available at present, and to select useful approaches and needs for future research. A systematic mapping study was therefore performed to classify the selected studies into five classification criteria: research type, empirical type, contribution type, RE activity, and curricula. A total of 79 papers were selected and classified according to these criteria. The results of this systematic mapping study are discussed, and a list of advice obtained from the REE literature for instructors is provided.},
	issn = {0947-3602},
	doi = {10.1007/s00766-013-0192-5},
	author = {Ouhbi, Sofia and Idri, Ali and Luis Fernandez-Aleman, Jose and Toval, Ambrosio}
}
