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|
/*
* SPDX-FileCopyrightText: 2024 The Refinery Authors
*
* SPDX-License-Identifier: EPL-2.0
*/
import Link from '@docusaurus/Link';
import Layout from '@theme/Layout';
import clsx from 'clsx';
import styles from './index.module.css';
import Features from '@site/src/components/Features';
import UseCases from '@site/src/components/UseCases';
import Video from '@site/src/components/Video';
function Hero() {
return (
<header className={clsx('hero', 'hero--dark', styles['hero'])}>
<div className="container">
<h1 className="hero__title">Refinery</h1>
<p className="hero__subtitle">
An efficient graph solver for generating well-formed models
</p>
<div className={styles['buttons']}>
<Link
href="https://refinery.services/"
className={clsx(
'button',
'button--lg',
'button--primary',
styles['button'],
)}
>
Try online
</Link>
<Link
to="/learn/docker"
className={clsx(
'button',
'button--lg',
'button--secondary',
styles['button'],
)}
>
Try in Docker
</Link>
<Link
to="/learn/tutorials/file-system"
className={clsx(
'button',
'button--lg',
'button--secondary',
styles['button'],
)}
>
Tutorial
</Link>
</div>
</div>
</header>
);
}
function Publication({
doi,
pdf,
video,
children,
}: {
doi?: string;
pdf?: string;
video?: string;
children?: React.ReactNode;
}) {
return (
<li>
{children}
{doi && (
<>
{' '}
[<Link href={`https://doi.org/${doi}`}>doi</Link>]
</>
)}
{pdf && (
<>
{' '}
[<Link href={pdf}>pdf</Link>]
</>
)}
{video && (
<>
{' '}
[<Link href={video}>video</Link>]
</>
)}
</li>
);
}
Publication.defaultProps = {
doi: undefined,
pdf: undefined,
video: undefined,
children: undefined,
};
function Publications() {
return (
<div className="row">
<div className="col col--6">
<h3>Tool demonstration</h3>
<ul>
<Publication
doi="10.1145/3639478.3640045"
pdf="pathname:///papers/icse24-demo.pdf"
video="https://youtu.be/Qy_3udNsWsM"
>
K. Marussy, A. Ficsor, O. Semeráth, D. Varró: “Refinery: Graph
Solver as a Service” <em>ICSE 2024 Demonstrations</em>
</Publication>
</ul>
<h3>Partial model specification language</h3>
<ul>
<Publication
doi="10.5381/jot.2020.19.3.a12"
pdf="https://www.jot.fm/issues/issue_2020_03/article12.pdf"
video="https://www.youtube.com/watch?v=ggTbv_s5t2A"
>
K. Marussy, O. Semeráth, A. Babikian, D. Varró:{' '}
<em>
A Specification Language for Consistent Model Generation based on
Partial Models.
</em>{' '}
J. Object Technol. <b>19</b>(3): 3:1-22 (2020)
</Publication>
</ul>
<h3>Diverse and realistic graph generation</h3>
<ul>
<Publication
doi="10.1007/s10009-019-00530-6"
pdf="https://link.springer.com/content/pdf/10.1007/s10009-019-00530-6.pdf?pdf=button"
>
O. Semeráth, R. Farkas, G. Bergmann, D. Varró:{' '}
<em>
Diversity of graph models and graph generators in mutation
testing.
</em>{' '}
Int. J. Softw. Tools Technol. Transf. <b>22</b>(1): 57-78 (2020)
</Publication>
<Publication
doi="10.1007/s10270-021-00884-z"
pdf="https://link.springer.com/content/pdf/10.1007/s10270-021-00884-z.pdf?pdf=button"
>
O. Semeráth, A. Babikian, B. Chen, C. Li, K. Marussy, G. Szárnyas,
D. Varró:{' '}
<em>
Automated generation of consistent, diverse and structurally
realistic graph models.
</em>{' '}
Softw. Syst. Model. <b>20</b>(5): 1713-1734 (2021)
</Publication>
</ul>
</div>
<div className="col col--6">
<h3>Consistent graph generation techniques</h3>
<ul>
<Publication
doi="10.1145/3180155.3180186"
pdf="https://dl.acm.org/doi/pdf/10.1145/3180155.3180186"
>
O. Semeráth, A. Nagy, D. Varró: “A graph solver for the
automated generation of consistent domain-specific models.”{' '}
<em>ICSE 2018:</em> 969-980
</Publication>
<Publication
doi="10.1109/TSE.2020.3025732"
pdf="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9201551"
>
K. Marussy, O. Semeráth, D. Varró:{' '}
<em>
Automated Generation of Consistent Graph Models With Multiplicity
Reasoning.
</em>{' '}
IEEE Trans. Softw. Eng. <b>48</b>(5): 1610-1629 (2022)
</Publication>
<Publication
doi="10.1007/s10270-021-00918-6"
pdf="https://link.springer.com/content/pdf/10.1007/s10270-021-00918-6.pdf?pdf=button"
>
A. Babikian, O. Semeráth, A. Li, K. Marussy, D. Varró:{' '}
<em>
Automated generation of consistent models using qualitative
abstractions and exploration strategies.
</em>{' '}
Softw. Syst. Model. <b>21</b>(5): 1763-1787 (2022)
</Publication>
</ul>
<h3>Correctness proofs</h3>
<ul>
<Publication
doi="10.1007/978-3-319-75396-6_16"
pdf="https://inf.mit.bme.hu/sites/default/files/publications/fmhe-model-generation.pdf"
>
D. Varró, O. Semeráth, G. Szárnyas, Á. Horváth: “Towards the
Automated Generation of Consistent, Diverse, Scalable and Realistic
Graph Models.”{' '}
<em>Graph Transformation, Specifications, and Nets</em> 2018:
285-312
</Publication>
</ul>
</div>
</div>
);
}
export default function Home() {
return (
<Layout>
<div className={styles['page']}>
<Hero />
<section className={styles['section']}>
<Features />
</section>
<section className={clsx(styles['section'], styles['section--video'])}>
<Video />
</section>
<section className={styles['section']}>
<div className="container">
<h2 className={styles['section__title']}>Explore use-cases</h2>
<UseCases />
</div>
</section>
<section className={styles['section']}>
<div className="container">
<h2 className={styles['section__title']}>Related publications</h2>
<Publications />
</div>
</section>
</div>
</Layout>
);
}
|
