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Parthenos: A Source Code Injection Approach for Software Transformation

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Gabriel Lopes Nunes, Kleinner Farias, Lucas Silveira Kupssinski

Software Engineering · Submitted 12 May 2021

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Parthenos was evaluated through functional tests to evaluate its effectiveness, using measures of precision, recall, and f-measure.

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arXiv ID2105.05407 (version 1)
Pith IDAMYU5BCX, Pith's permanent record of this paper and its review
CitationGabriel Lopes Nunes, Kleinner Farias, Lucas Silveira Kupssinski. "Parthenos: A Source Code Injection Approach for Software Transformation." arXiv:2105.05407 (2021). https://pith.science/paper/AMYU5BCX
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,809 input tokens.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.13 · human participants 0.04 · controlled comparison 0.12 · randomized assignment 0.01 · states quantitative result 0.09 · compares with prior results 0.31 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

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.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Maintaining legacy enterprise information systems is a known necessity in companies. background 1.00 0.04 0.02 asserted 1.00
s1 To date, it remains an expensive and time-consuming process, requiring high effort and cost to get small changes implemented. background 0.99 0.06 0.02 asserted 1.00
s2 MITRAS seeks to reduce the maintenance cost by providing an automatic maintenance system model based on graph transformations. background 0.74 0.13 0.04 asserted 0.96
s3 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. contribution 1.00 0.61 0.16 asserted 0.99
s4 Along with that, it proposes an extensible architecture, which allows the most varied types of systems to carry out software maintenance. contribution 0.85 0.67 0.08 asserted 0.94
s5 Parthenos was evaluated through functional tests to evaluate its effectiveness, using measures of precision, recall, and f-measure. method 0.93 0.91 0.16 asserted 0.99

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from observation or experiment 0.99.

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  • references and citing sentences
  • relations to other papers
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

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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