Supporting Developers in Porting Software via Combined Textual and Structural Analysis of Software Artifacts

TL;DR

This position paper discusses how combining textual and structural analysis of source code can enhance software porting, especially for scientific and engineering applications, by improving recommendation systems.

Contribution

It proposes integrating textual and structural analysis techniques to support developers in porting scientific software, highlighting potential benefits for software sustainability.

Findings

Enhanced recommendation systems for software porting

Improved understanding of code structure and text integration

Potential for increased software portability and sustainability

Abstract

This is position paper accepted to the Computational Science & Engineering Software Sustainability and Productivity Challenges (CSESSP Challenges) Workshop, sponsored by the Networking and Information Technology Research and Development (NITRD) Software Design and Productivity (SDP) Coordinating Group, held October 15th-16th 2015 in Washington DC, USA. It discusses the role recommendation systems, based on textual and structural information in source code, and further enhanced by mining related applications, can have in improving the portability of scientific and engineering software.