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SE-CLOUD 2018 - 1st International Conference on Software Engineering for Se...

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SE-CLOUD 2018 - 1st International Conference on Software Engineering for Service and Cloud Computing


SE-CLOUD 2018 will be held in conjunction with ICSOFT 2018, DATA 2018 and ICETE 2018.
Registration to SE-CLOUD allows free access to the ICSOFT, DATA and ICETE conferences (as a non-speaker).

UPCOMING DEADLINES
Regular Paper Submission: March 13, 2018
Regular Paper Authors Notification: May 14, 2018
Regular Paper Camera Ready and Registration: May 28, 2018

Service oriented software engineering and cloud software engineering have emerged to address software as a set of services which deal with user needs. At the same time, we have seen a large number of downfalls due to software failures. This was in part due to the lack of adopting well designed software engineering practices. Now, there is a need to revise these practices given the emergence of service and cloud computing, which will revolutionize the next generation of software engineering. This conference offers a venue for presenting new approaches, processes, techniques, technologies and applications based on the paradigm of Cloud Software Engineering.

CONFERENCE AREAS

1 . Requirements Engineering for Cloud Computing

2 . Cloud Software Engineering and Project Management

3 . Cloud Design and Test Principles

4 . Software Engineering Innovative Applications



CONFERENCE CHAIR

Muthu Ramachandran, Leeds Beckett University, United Kingdom

PROGRAM CHAIR
Zaigham Mahmood, Debesis Education United Kigdom, Shijiazhuang Tiedao Uni, China
KEYNOTE SPEAKER
João Gama, LIAAD - INESC TEC, University of Porto, Portugal
DOCTORAL CONSORTIUM
OPEN COMMUNICATIONS
Submission: June 7, 2018



SCOPE


Service oriented software engineering and cloud software engineering have emerged to address software as a set of services which deal with user needs. At the same time, we have seen a large number of downfalls due to software failures. This was in part due to the lack of adopting well designed software engineering practices. Now, there is a need to revise these practices given the emergence of service and cloud computing, which will revolutionize the next generation of software engineering. This conference offers a venue for presenting new approaches, processes, techniques, technologies and applications based on the paradigm of Cloud Software Engineering.

Cloud Software Engineering research is vibrant and encompasses many areas, like knowledge sharing, requirements engineering, organisational and business processes, project management, web and computational services, run-time re-configurability, integration, testing, componentisation and many others.





CONFERENCE AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. REQUIREMENTS ENGINEERING FOR CLOUD COMPUTING
2. CLOUD SOFTWARE ENGINEERING AND PROJECT MANAGEMENT
3. CLOUD DESIGN AND TEST PRINCIPLES
4. SOFTWARE ENGINEERING INNOVATIVE APPLICATIONS




AREA 1: REQUIREMENTS ENGINEERING FOR CLOUD COMPUTING


  • RE Models and Visualisation Techniques
  • Defining Service Abstraction and Visualisation
  • Agile Requirements Engineering for Cloud Computing
  • Automated Tools and Techniques
  • Business Process Management: BPMN Tools and Automated Techniques to Drive Requirements and Services
  • Elasticity, Multi-tenancy, Security and Scalability Requirements
  • Test-Driven Cloud Services
  • Cloud based RE as a Service (REaaS)
  • Social Modelling Techniques, Visualisation, and Automation
  • Cloud QoS based Requirements Engineering
  • Formal Specification Methods and Techniques for Cloud Services
  • BPMN based Simulation Techniques for Validating Cloud Services and Performances Requirements
  • Reuse of Service Requirements



AREA 2: CLOUD SOFTWARE ENGINEERING AND PROJECT MANAGEMENT


  • Cloudonomics: The Economics of Cloud Computing
  • Estimating and Measuring Cloud Computing Projects
  • Cloud based Software Project Management and Software Project Management as a Service (PMaaS)
  • Service Point Abstraction for Measuring the Complexity of Cloud Services
  • Cloud based Project Management Tools and Industrial Case Studies
  • Secure Service Development Techniques
  • Cloud Service Security Techniques, Methods and Tools
  • Secure Development based Tools for WSDL, BPMN, BPEL, SOAP, RESTful, etc
  • Automated Generation of BPEL, Services, RESTful APIs
  • Generative Reuse of Services and Reuse by Service Composition on-the-Fly



AREA 3: CLOUD DESIGN AND TEST PRINCIPLES


  • View-Driven Cloud SE and Single Underlying Model (SUM)
  • Service Components: UML, SoaML and CloudML
  • Service Design Paradigm for Cloud Computing
  • Cloud Design as a service (CDaaS)
  • Enterprise Architecture for Large Scale Reuse: Approaches, Techniques and Tools for Integrating Enterprises with Cloud Services and Reuse of Cloud Services Approaches and Techniques
  • Design for Reuse of Services
  • Testing Cloud Services: Techniques and Tools
  • Agile based Test Approaches
  • Testing as a Service (TaaS): Approaches, Techniques and Tools



AREA 4: SOFTWARE ENGINEERING INNOVATIVE APPLICATIONS


  • Software Engineering for Big Data: Paradigm, Methods, Analytic Techniques and Tools
  • Prediction Models using Soft Computing Approaches
  • RE and Design Techniques for IoT based Cloud Applications
  • Testing: Tools and Approaches for IoT Applications and Devices
  • Cloud based WSN for Natural Disasters Applications such as Tsunami, Flood Alert Systems, and earthquakes, Fire, Safety and Sustainability of our Environment, Smart Living with ICT
  • Cloud based Services for Healthcare and Big Data Analytics



Keynote Lecture


Data Mining in the XXI Century

João Gama

LIAAD - INESC TEC, University of Porto
Portugal

Brief Bio

João Gama is an Associate Professor at the University of Porto, Portugal. He is also a senior researcher and member of the board of directors of the Laboratory of Artificial Intelligence and Decision Support (LIAAD), a group belonging to INESC Porto. João Gama serves as the member of the Editorial Board of Machine Learning Journal, Data Mining and Knowledge Discovery, Intelligent Data Analysis and New Generation Computing. He served as Co-chair of ECML 2005, DS09, ADMA09 and a series of Workshops on KDDS and Knowledge Discovery from Sensor Data with ACM SIGKDD. He was also the chair for the conference of Intelligent Data Analysis 2011. His main research interest is in knowledge discovery from data streams and evolving data. He is the author of more than 200 papers reviewed by peers and author of a recent book on Knowledge Discovery from Data Streams. He has extensive publications in the area of data stream learning.


Abstract
Nowadays, there are applications in which the data are modelled best not as persistent tables, but rather as transient data streams. In this keynote, we discuss the limitations of current machine learning and data mining algorithms. We discuss the fundamental issues in learning in dynamic environments like learning decision models that evolve over time, learning and forgetting, concept drift and change detection. Data streams are characterized by huge amounts of data that introduce new constraints in the design of learning algorithms: limited computational resources in terms of memory, processing time and CPU power. In this talk, we present some illustrative algorithms designed to taking these constrains into account. We identify the main issues and current challenges that emerge in learning from data streams, and present open research lines for further developments.




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