Automating adaptive maintenance changes with SrcML and LINQ

Authors:
Vinay Augustine
Affiliations:
ABB Corporate Research, Raleigh, NC
Venue:
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
Year:
2012

Citing 4
Cited 0

The dimensions of maintenance

ICSE '76 Proceedings of the 2nd international conference on Software engineering
How Understanding and Restructuring Differ from Compiling " A Rewriting Perspective

IWPC '03 Proceedings of the 11th IEEE International Workshop on Program Comprehension
Comprehending Reality " Practical Barriers to Industrial Adoption of Software Maintenance Automation

IWPC '03 Proceedings of the 11th IEEE International Workshop on Program Comprehension
A lightweight transformational approach to support large scale adaptive changes

ICSM '10 Proceedings of the 2010 IEEE International Conference on Software Maintenance

Quantified Score

Hi-index	0.00

Visualization

Abstract

Automated program transformation can significantly improve the speed and accuracy of adaptive maintenance tasks. However, developers typically eschew program transformation because of the difficulty in creating, using, and maintaining transformations. They may also be unwilling to learn a new technique that will be used infrequently. We present an approach that leverages programmers' existing knowledge of C# and LINQ to drastically reduce the learning curve associated with program transformation.