4th International Conference on Data and Software Engineering
1 – 2 November 2017
Palembang, South Sumatera, Indonesia

“Delivering Data-Intensive Software System”

Data/knowledge engineering and software engineering are two developing areas in the information and communication technology, which are interrelated and have significant roles in changing the world in many aspects, such as business, education, government, and society. Although these disciplines are quite mature, research and development in these disciplines are still evolving to provide better performance of offered services or products in different criteria, e.g., efficiency or effectiveness.

The 4th International Conference on Data and Software Engineering (ICoDSE 2017) will bring together scientists, educators, engineers, and practitioners from multiple disciplines to focus on engineering complex software system and data-intensive software systems. The conference will feature world-class keynotes and research & industry presentations, to discuss high-quality research results and industry experiences in this field.

Topics of interest to the conference include, but are not limited to:

Software Engineering Tracks Data/Knowledge Engineering Tracks
  • Software Engineering Process & Lifecycle
  • Software Analysis and Design Methods
  • Software Quality Assurances
  • Open Source Software
  • Software Measurement
  • Requirements Engineering
  • Agile Methodology
  • Extreme Programming
  • Empirical Software Engineering
  • Software Engineering Education
  • Software Project Management
  • Software Industry
  • Software Product Line
  • Security Software and System
  • Software Architecture
  • Cloud Computing
  • Software Engineering Tools
  • Software Technologies
  • SOA (Service Oriented Architecture)
  • Business Process Management System
  • Ultra Large-Scale System
  • Data and Knowledge Modeling
  • Information Management Practices
  • Knowledge Based Management Systems
  • Knowledge Discovery in Data
  • Data/Process Mining
  • Semantic Web Technology
  • Web Analytics
  • Business Intelligence
  • Ontology
  • Data Visualization & Analytic
  • Data Science
  • Database Technology
  • Spatial and Temporal Database
  • Distributed Database
  • Open Data
  • Big Data
  • Data and Information Security


We invite scientists, educators, engineers, and practitioners in the relevant domain to submit papers in the following tracks:

  • Research track – This track focuses on disseminating and discussing on research and advances in data engineering and software engineering area.
  • Industry track – This track focuses on sharing and discussing on application, implementation, and lesson learnt by industries and practitioners relevant to data engineering and software engineering knowledge area.

Prospective authors are invited to submit full papers of no more than six (6) pages including results, according to IEEE Xplore template. All submissions will be peer-reviewed based on originality, technical quality and presentation.