Parthenos: A Source Code Injection Approach for Software Transformation

by   Gabriel Lopes Nunes, et al.

Maintaining legacy enterprise information systems is a known necessity in companies. To date, it remains an expensive and time-consuming process, requiring high effort and cost to get small changes implemented. MITRAS seeks to reduce the maintenance cost by providing an automatic maintenance system model based on graph transformations. This article presents Parthenos, a different approach to MITRAS, whose goal is to guarantee the correctness of introduced modifications at a syntax and type semantics level of the source code. Along with that, it proposes an extensible architecture, which allows the most varied types of systems to carry out software maintenance. Parthenos was evaluated through functional tests to evaluate its effectiveness, using measures of precision, recall, and f-measure.



There are no comments yet.


page 1

page 2

page 3

page 4


Boosting Automatic Commit Classification Into Maintenance Activities By Utilizing Source Code Changes

Background: Understanding maintenance activities performed in a source c...

A Practical Approach to the Automatic Classification of Security-Relevant Commits

The lack of reliable sources of detailed information on the vulnerabilit...

Scalable Source Code Similarity Detection in Large Code Repositories

Source code similarity are increasingly used in application development ...

Study of the Utility of Text Classification Based Software Architecture Recovery Method RELAX for Maintenance

Background. The software architecture recovery method RELAX produces a c...

Deep Just-In-Time Inconsistency Detection Between Comments and Source Code

Natural language comments convey key aspects of source code such as impl...

Design and Use of Loop-Transformation Pragmas

Adding a pragma directive into the source code is arguably easier than r...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.