Science Inventory

A Novel Coupling Pattern in Computational Science and Engineering Software

Citation:

Kamble, S., X. Jin, N. Niu, AND M. Simon. A Novel Coupling Pattern in Computational Science and Engineering Software. In Proceedings, 2017 IEEE/ACM 12th International Workshop on Software Engineering for Science (SE4Science), Buenos AiresA, May 22 - 27, 2017. IEEE Computer Society, Washington, DC, 9-12, (2017). https://doi.org/10.1109/SE4Science.2017.10

Impact/Purpose:

Science is becoming more specialized and diverse, so different computational science and engineering (CSE) software may need to integrate software systems developed by other experts. The purpose of this work is to describe a coupling pattern that will be used to integrate two different CSE software systems. This work can be used by researchers in the future who are working to solve coupling issues in CSE software integration.

Description:

Computational science and engineering (CSE) software is written by experts of certain area(s). Due to the specialization, existing CSE software may need to integrate other CSE software systems developed by different groups of experts. The coupling problem is one of the challenges for software integration. In this paper, we identify a novel coupling pattern when trying to integrate two CSE software systems. We describe the coupling pattern in detail and show the complexity of resolving such kind of coupling patterns. Our work contributes to area of CSE software since there were few previous studies addressing the coupling problem in CSE domain. Our work will further inspire future research in solving the coupling problem during CSE software integration.

Record Details:

Record Type:DOCUMENT( PAPER IN NON-EPA PROCEEDINGS)
Product Published Date:05/27/2017
Record Last Revised:05/15/2018
OMB Category:Other
Record ID: 337887