Workshop on Software Engineering for Large Scale Computing (SELSC)
Updated information will be maintained at:

in conjunction with International Conference in Computational Science (ICCS)
June 23-25, Kraków Poland


Computational Science techniques are increasingly being applied in both research institutions and industry to for example, financial applications, bioinformatics applications, physical applications, data mining applications based on grid or clusters etc. As with other disciplines there are specific issues when planning and developing such applications. For example, those applications are generally distributed and based upon Grid environments or clusters with specific management and planning issues, design, testing, etc. This workshop would like analyse to software engineering issues specific to these types of applications such as adaptation of processes for, planning, management, verification and validation, testing, quality measurement, etc. Also, there is also a motivation for further research on the other direction, i.e., the application of computational intelligence techniques to software engineering issues as a result of the creation of large metrics databases collected from software projects. Examples of computational techniques applied to Software Engineering include genetic algorithms, Bayesian networks, system dynamics, visualization, search based software engineering etc. Many emergent issues are subject to research efforts combining both computational techniques and Software Engineering.


Topics of interest

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




June 23, 13:30h-17:10h
Qubus Hotel Kraków, Poland
  1. Modeling input space for testing scientific computational software: a case study
  2. Executable Platform Independent Models for Data Intensive Applications
  3. OCL as the query language for UML Model Execution
  4. Managing Groups of Files in a Rule Oriented Data Management System (iRODS)
  5. Towards Large Scale Semantic Annotation built on MapReduce Architecture
  6. Managing large volumes of distributed scientic data
  7. Discovering Knowledge in a Large Organization through Support Vector Machines
  8. An Event-Based Approach to Reducing Coupling in Large-Scale Applications
  9. Exploring Cohesion, Flexibility, Communication Overhead and Distribution for WS Interfaces in CS


Accepted papers will be published as part of the ICCS (International Conference on Computational Science) conference proceedings by Springer as Lecture Notes in Computer Science (LNCS) volume.

Organising Committee

Programme Committee