Search Results - "Ferenc, Rudolf"

Static Code Analysis Alarms Filtering Reloaded: A New Real-World Dataset and its ML-Based Utilization by Hegedus, Peter, Ferenc, Rudolf

“…Even though Static Code Analysis (SCA) tools are integrated into many modern software building and testing pipelines, their practical impact is still seriously…”
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A public unified bug dataset for java and its assessment regarding metrics and bug prediction by Ferenc, Rudolf, Tóth, Zoltán, Ladányi, Gergely, Siket, István, Gyimóthy, Tibor

“…Bug datasets have been created and used by many researchers to build and validate novel bug prediction models. In this work, our aim is to collect existing…”
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Methodology for Code Synthesis Evaluation of LLMs Presented by a Case Study of ChatGPT and Copilot by Sagodi, Zoltan, Siket, Istvan, Ferenc, Rudolf

“…Large Language Models (LLMs) have grown in popularity in recent years and are now employed in a variety of software engineering domains thanks to their Natural…”
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CrySyS dataset of CAN traffic logs containing fabrication and masquerade attacks by Gazdag, András, Ferenc, Rudolf, Buttyán, Levente

“…Despite their known security shortcomings, Controller Area Networks are widely used in modern vehicles. Research in the field has already proposed several…”
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Development of partial least squares regression with discriminant analysis for software bug prediction by Rajkó, Róbert, Siket, István, Hegedűs, Péter, Ferenc, Rudolf

“…Many prediction models and approaches have been introduced during the past decades that try to forecast bugged code elements based on static source code…”
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A Comparative Study of Commit Representations for JIT Vulnerability Prediction by Aladics, Tamás, Hegedűs, Péter, Ferenc, Rudolf

“…With the evolution of software systems, their size and complexity are rising rapidly. Identifying vulnerabilities as early as possible is crucial for ensuring…”
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Is JavaScript Call Graph Extraction Solved Yet? A Comparative Study of Static and Dynamic Tools by Antal, Gabor, Hegedus, Peter, Herczeg, Zoltan, Loki, Gabor, Ferenc, Rudolf

“…Code analysis is more important than ever because JavaScript is increasingly popular and actively used, both on the client and server sides. Most algorithms…”
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Static Call Graph Combination to Simulate Dynamic Call Graph Behavior by Sagodi, Zoltan, Pengo, Edit, Jasz, Judit, Siket, Istvan, Ferenc, Rudolf

“…Call graphs are fundamental for many higher-level code analyses. The selection of the most appropriate call graph construction tool for an analysis is not…”
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Mechanical loading stimulates chondrogenesis via the PKA/CREB-Sox9 and PP2A pathways in chicken micromass cultures by Juhász, Tamás, Matta, Csaba, Somogyi, Csilla, Katona, Éva, Takács, Roland, Soha, Rudolf Ferenc, Szabó, István A., Cserháti, Csaba, Sződy, Róbert, Karácsonyi, Zoltán, Bakó, Éva, Gergely, Pál, Zákány, Róza

“…Biomechanical stimuli play important roles in the formation of articular cartilage during early foetal life, and optimal mechanical load is a crucial…”
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PyBugHive: A Comprehensive Database of Manually Validated, Reproducible Python Bugs by Antal, Gabor, Vandor, Norbert, Kollath, Istvan, Mosolygo, Balazs, Hegedus, Peter, Ferenc, Rudolf

“…Python is currently the number one language in the TIOBE index and has been the second most popular language on GitHub for years. But so far, there are only a…”
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Deep-water framework: The Swiss army knife of humans working with machine learning models by Ferenc, Rudolf, Viszkok, Tamás, Aladics, Tamás, Jász, Judit, Hegedűs, Péter

“…Working with machine learning models has become an everyday task not only for software engineers, but for a much wider spectrum of researchers and…”
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Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics by Antal, Gábor, Tóth, Zoltán, Hegedűs, Péter, Ferenc, Rudolf

“…Bug prediction aims at finding source code elements in a software system that are likely to contain defects. Being aware of the most error-prone parts of the…”
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An automatically created novel bug dataset and its validation in bug prediction by Ferenc, Rudolf, Gyimesi, Péter, Gyimesi, Gábor, Tóth, Zoltán, Gyimóthy, Tibor

“…Bugs are inescapable during software development due to frequent code changes, tight deadlines, etc.; therefore, it is important to have tools to find these…”
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Using information retrieval based coupling measures for impact analysis by Poshyvanyk, Denys, Marcus, Andrian, Ferenc, Rudolf, Gyimóthy, Tibor

“…Coupling is an important property of software systems, which directly impacts program comprehension. In addition, the strength of coupling measured between…”
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Using the Conceptual Cohesion of Classes for Fault Prediction in Object-Oriented Systems by Marcus, A., Poshyvanyk, D., Ferenc, R.

“…High cohesion is a desirable property of software as it positively impacts understanding, reuse, and maintenance. Currently proposed measures for cohesion in…”
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Empirical evaluation of software maintainability based on a manually validated refactoring dataset by Hegedűs, Péter, Kádár, István, Ferenc, Rudolf, Gyimóthy, Tibor

“…•We provided a manually validated refactoring dataset containing only true positive refactorings.•The maintainability of refactored elements (classes and…”
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Empirical study on refactoring large-scale industrial systems and its effects on maintainability by Szőke, Gábor, Antal, Gábor, Nagy, Csaba, Ferenc, Rudolf, Gyimóthy, Tibor

“…•We examine hundreds of manual refactoring commits from large-scale industrial systems.•We study the effects of these commits on source code using a…”
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Empirical validation of object-oriented metrics on open source software for fault prediction by Gyimothy, T., Ferenc, R., Siket, I.

“…Open source software systems are becoming increasingly important these days. Many companies are investing in open source projects and lots of them are also…”
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BUGSJS: a benchmark and taxonomy of JavaScript bugs by Gyimesi, Péter, Vancsics, Béla, Stocco, Andrea, Mazinanian, Davood, Beszédes, Árpád, Ferenc, Rudolf, Mesbah, Ali

“…Summary JavaScript is a popular programming language that is also error‐prone due to its asynchronous, dynamic, and loosely typed nature. In recent years,…”
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A mesterséges intelligencia néhány biztonsági vetülete by Vidács, László, Jelasity, Márk, Tóth, László, Hegedűs, Péter, Ferenc, Rudolf

“…Összefoglalás. A mély mesterséges neuronhálók elterjedése az ipari alkalmazásokban évekkel azok megbízhatóságával, értelmezhetőségével, és biztonságával…”
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