Ammar Abdallah

Work place: Software and IT Engineering, École de Technologie Supérieure, University of Québec Montréal, Canada

E-mail: ammar.abdallah.1@ens.etsmtl.ca

Website:

Research Interests: Computational Engineering, Software Construction, Software Development Process, Software Engineering

Biography

Ammar Abdallah Qasaimeh: is a doctoral researcher in Software Engineering and Information Technology at École de technologie supérieure (ETS) ¾ University of Québec (Montreal, Canada), and a web analytics & digital marketing professional. He received his Master’s degree in quality systems engineering from Concordia University (Montreal, Canada) in 2014 and his Bachelor’s degree in computer science from Al-Balqa Applied University (Jordan) in 2011. His research interests include enterprise architecture, software engineering measurement and standards, and agile methodologies.

Author Articles
Enterprise Architecture Measurement: An Extended Systematic Mapping Study

By Ammar Abdallah Alain Abran

DOI: https://doi.org/10.5815/ijitcs.2019.09.02, Pub. Date: 8 Sep. 2019

A systematic mapping study (SMS) of proposed EA measurement solutions was undertaken to provide an in-depth understanding of the claimed achievements and limitations in evidence-based research of enterprise architecture (EA). This SMS reports on 22 primary studies on EA measurement solutions published up to the end of 2018. The primary studies were analyzed thematically and classified according to ten (10) mapping questions including, but not limited to, positioning of EA measurement solutions within EA schools of thought, analysis of consistency-inconsistency of the terms used by authors in EA measurement research, and an analysis of the references to the ISO 15939 measurement information model. Some key findings reveal that the current research on EA measurement solutions is focused on the “enterprise IT architecting” school of thought, does not use rigorous terminology as found in science and engineering, and shows limited adoption of knowledge from other disciplines. The paper concludes with new perspectives for future research avenues in EA measurement. 

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