posted by user: Audunv || 7946 views || tracked by 20 users: [display]

ENASE 2014 : 9th International Conference on Evaluation of Novel Approaches to Software Engineering

FacebookTwitterLinkedInGoogle


Conference Series : International Conference on Evaluation of Novel Approaches to Software Engineering
 
Link: http://www.enase.org/
 
When Apr 27, 2014 - Apr 29, 2014
Where Lisbon, Portugal
Submission Deadline Oct 22, 2013
Notification Due Jan 22, 2014
Final Version Due Feb 19, 2014
Categories    ICT   software engineering   service-oriented architectures   software process improvement
 

Call For Papers


MISSION AND MOTIVATION

The mission of the ENASE (Evaluation of Novel Approaches to Software Engineering) conferences is to be a prime international forum to discuss and publish research findings and IT industry experiences with relation to evaluation of novel approaches to software engineering. By comparing novel approaches with established traditional practices and by evaluating them against software quality criteria, ENASE conferences advance knowledge and research in software engineering, identify most hopeful trends and propose new directions for consideration by researchers and practitioners involved in large-scale software development and integration.
Scope

ENASE provides a yearly forum for researchers and practitioners to review and evaluate emerging as well as established SE methods, practices, architectures, technologies and tools. An important underpinning and assumption of ENASE is that in software engineering "novel" turns out frequently to be just new hype. An objective of ENASE is to reveal any such hype as soon as feasible. This means that ENASE does not exclude more traditional approaches to software development and integration. On the contrary, ENASE endeavors to compare novel with traditional, also to discover if novel is not just traditional in disguise. Consequently, ENASE accepts also papers concentrating on a critique of more traditional and entrenched SE approaches.
Against that background, ENASE undertakes to provide fast but careful scientific and empirical evaluation of new as well as more established approaches to software engineering. Of particular interest are experience reports and evaluations (qualitative and quantitative) of existing approaches as well as new ideas and proposals for improvements. The conference solicits experiments, case studies, surveys, meta-analyses, empirical studies, systematic reviews, conceptual explorations, innovative ideas, critical appraisals, etc. related to the following topics list:
Conference Topics

Service-Oriented Architectures
Design Thinking as a Paradigm for Software Development
Enterprise Integration Strategies and Patterns
Software Process Improvement
Model-driven Engineering
Knowledge Management and Engineering
Architectural Design and Meta Architectures
Requirements Engineering Frameworks and Models
Business Process Management, Engineering and Reengineering
Process-centric Paradigms
Application Integration Technologies
e-Business Technologies
Collaborative Requirements Management Systems
Business and Software Modeling Languages
Software Quality Management
Software Change and Configuration Management
Geographically Distributed Software Development Environments
Formal Methods
Meta Programming Systems and Meta-modeling
Cross-feeding Between Data and Software Engineering
"3A" (Agile, Aspect-oriented and Agent-oriented) Software Engineering
Component-based Software Engineering and Commercial-Off-The-Shelf (COTS) Systems
Service-oriented Software Engineering and Management
Software and Systems Development Methodologies
Service Science

Keynote Speakers
Kecheng Liu, University of Reading, United Kingdom
Jan Dietz, Delft University of Technology, Netherlands
Paper Submission

Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity.

Only original papers should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarism thoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without reviews.

Authors can submit their work in the form of a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail.

Publications

All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support.
SCITEPRESS is member of CrossRef (http://www.crossref.org/).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library.
The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.
Important Dates

Conference Date: 27 - 29 April, 2014
Regular Papers
Paper Submission: October 22, 2013
Authors Notification: January 22, 2014
Camera Ready and Registration: February 19, 2014

Position Papers
Paper Submission: January 7, 2014
Authors Notification: February 17, 2014
Camera Ready and Registration: February 28, 2014

Secretariat

ENASE Secretariat
Address: Av. D. Manuel I 27A 2º Esq.
2910-595 Setúbal - Portugal
Tel.: + 351 265 520 185
Fax: +44 203 014 8813
e-mail: enase.secretariat@insticc.org
Web: http://www.enase.org
Conference Chair

Joaquim Filipe, Polytechnic Institute of Setúbal / INSTICC, Portugal
PROGRAM CHAIR

Leszek Maciaszek, Wroclaw University of Economics, Poland and Macquarie University, Sydney, Poland
Program Committee

Guglielmo de Angelis, CNR - ISTI, Italy
Costin Badica, University of Craiova, Romania
Maria Bielikova, Slovak University of Technology in Bratislava, Slovak Republic
Wojciech Cellary, Poznan University of Economics, Poland
Rebeca Cortazar, University of Deusto, Spain
Massimo Cossentino, National Research Council, Italy
Bernard Coulette, University of Toulouse 2- Le Mirail / IRIT Laboratory, France
Angelina Espinoza, Universidad Autónoma Metropolitana, Iztapalapa (UAM-I), Spain
Joerg Evermann, Memorial University of Newfoundland, Canada
Maria João Ferreira, Universidade Portucalense, Portugal
Agata Filipowska, Poznan University of Economics, Poznan, Poland
Juan Garbajosa, Technical University of Madrid, UPM, Spain
Cesar Gonzalez-Perez, Institute of Heritage Sciences (Incipit), Spanish National Research Council (CSIC), Spain
Rene Hexel, Griffith University, Australia
Benjamin Hirsch, EBTIC / Khalifa University, United Arab Emirates
Charlotte Hug, Université Paris 1 Panthéon-Sorbonne, France
Zbigniew Huzar, Wroclaw University of Technology, Poland
Slinger Jansen, Utrecht University, Netherlands
Monika Kaczmarek, Poznan University of Economics, Poland
Robert S. Laramee, Swansea University, United Kingdom
Pericles Loucopoulos, Harokopio University of Athens, Greece
André Ludwig, University of Leipzig, Germany
Ivan Lukovic, University of Novi Sad, Faculty of Technical Sciences, Serbia
Lech Madeyski, Wroclaw University of Technology, Poland
Sascha Mueller-Feuerstein, Ansbach University of Applied Sciences, Germany
Johannes Müller, University of Leipzig, Germany
Andrzej Niesler, Wroclaw University of Economics, Poland
Mourad Oussalah, Laboratoire Lina Cnrs Fre 2729, University of Nantes, France
Marcin Paprzycki, Polish Academy of Sciences, Poland
Dana Petcu, West University of Timisoara, Romania
Naveen Prakash, MRCE, India
Elke Pulvermueller, University of Osnabrueck, Germany
Rick Rabiser, Johannes Kepler University, Linz, Austria
Lukasz Radlinski, University of Szczecin, Poland
Radoslaw Rudek, Wroclaw University of Economics, Poland
Francisco Ruiz, Universidad de Castilla-La Mancha, Spain
Krzysztof Sacha, Warsaw University of Technology, Poland
Jakub Swacha, University of Szczecin, Poland
Stephanie Teufel, University of Fribourg, Switzerland
Olegas Vasilecas, Vilnius Gediminas Technical University, Lithuania
Krzysztof Wecel, Poznan University of Economics, Poland
Igor Wojnicki, AGH University of Science and Technology, Poland
Kang Zhang, The University of Texas at Dallas, United States

Related Resources

ENASE 2025   20th International Conference on Evaluation of Novel Approaches to Software Engineering
BIBC 2024   5th International Conference on Big Data, IOT and Blockchain
ACM SAC 2025   40th ACM/SIGAPP Symposium On Applied Computing
NovelIQA 2024   Novel Approaches to Image Quality Assessment
EEI 2024   10th International Conference on Emerging Trends in Electrical, Electronics & Instrumentation Engineering
MAT 2024   10th International Conference of Advances in Materials Science and Engineering
Philosophical Approaches to Games and Ga 2024   Call For Papers - Philosophical Approaches to Games and Gamification: Ethical, Aesthetic, Technological and Political Perspectives
HPCCT 2025   2025 the 9th High Performance Computing and Cluster Technologies Conference (HPCCT 2025)--ESCI
SOMET 2025   24th International Conference on Intelligent Software Methodologies Tools and Techniques
SIGML 2025   6th International Conference on Signal Processing and Machine Learning