SEMay 12, 2021

Parthenos: A Source Code Injection Approach for Software Transformation

arXiv:2105.05407v12 citations
Originality Incremental advance
AI Analysis

This addresses the problem of expensive software maintenance for companies, but it appears incremental as it builds on the MITRAS model.

The paper tackles the high cost of maintaining legacy enterprise systems by introducing Parthenos, a source code injection approach that ensures correctness at syntax and type semantics levels, with evaluation showing effectiveness through precision, recall, and f-measure metrics.

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.

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