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ENASE 2019 will be held in conjunction with ICEIS 2019, GISTAM 2019 and FEMIB 2019.
Registration to ENASE allows free access to the ICEIS, GISTAM and FEMIB conferences (as a non-speaker).


The mission of ENASE (Evaluation of Novel Approaches to Software Engineering) is to be a prime international forum to discuss and publish research findings and IT industry experiences with relation to novel approaches to software engineering. The conference acknowledges evolution in systems and software thinking due to contemporary shifts of computing paradigm to e-services, cloud computing, mobile connectivity, business processes, and societal participation. By publishing the latest research on novel approaches to software engineering and by evaluating them against systems and software quality criteria, ENASE conferences advance knowledge and research in software engineering, including and emphasizing service-oriented, business-process driven, and ubiquitous mobile computing. ENASE aims at identifying most hopeful trends and proposing new directions for consideration by researchers and practitioners involved in large-scale systems and software development, integration, deployment, delivery, maintenance and evolution.




Conference Chair

Leszek MaciaszekMacquarie Univ., Australia and Wroclaw Univ. of Economics and Business, Poland

PROGRAM CO-CHAIRS

Ernesto DamianiEBTIC-KUSTAR, United Arab Emirates
George SpanoudakisCity University London, United Kingdom

Keynote Speakers

Sotiris IoannidisIndependent Researcher, Greece
Danny MenasceGeorge Mason University, United States
Mike PapazoglouTilburg University, Netherlands
 
 
Publications:
Science and Technology Publications, Lda

All papers presented at the conference venue
will be available at the SCITEPRESS Digital Library
(consult SCITEPRESS Ethics of Publication)

Communications in Computer and Information Science

It is planned to publish a short list of revised and
extended versions of presented papers with
Springer in a CCIS Series book

Proceedings will be submitted for evaluation for indexing by:


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