CodoMo: Python Model Checking to Integrate Agile Verification Process of Computer Vision Systems
محفوظ في:
| الحاوية / القاعدة: | arXiv.org (Dec 11, 2024), p. n/a |
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| المؤلف الرئيسي: | |
| مؤلفون آخرون: | , , |
| منشور في: |
Cornell University Library, arXiv.org
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| الموضوعات: | |
| الوصول للمادة أونلاين: | Citation/Abstract Full text outside of ProQuest |
| الوسوم: |
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| 001 | 3143451173 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 3143451173 | ||
| 045 | 0 | |b d20241211 | |
| 100 | 1 | |a Harie, Yojiro | |
| 245 | 1 | |a CodoMo: Python Model Checking to Integrate Agile Verification Process of Computer Vision Systems | |
| 260 | |b Cornell University Library, arXiv.org |c Dec 11, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a Model checking is a fundamental technique for verifying finite state concurrent systems. Traditionally, model designs were initially created to facilitate the application of model checking. This process, representative of Model Driven Development (MDD), involves generating an equivalent code from a given model which is verified before implementation begins. However, this approach is considerably slower compared to agile development methods and lacks flexibility in terms of expandability and refactoring. We have proposed "CodoMo: Python Code to Model Generator for pyModelChecking." This tool automates the transformation of a Python code by an AST static analyzer and a concolic testing tool into intermediate models suitable for verification with pyModelChecking, bridging the gap between traditional model checking and agile methodologies. Additionally, we have implemented a multiprocess approach that integrates the execution of PyExZ3 with the generation of Kripke structures achieving greater work efficiency. By employing CodoMo, we successfully verified a Tello Drone programming with gesture-based image processing interfaces, showcasing the tool's powerful capability to enhance verification processes while maintaining the agility required for today's fast-paced development cycles. | |
| 653 | |a Program verification (computers) | ||
| 653 | |a Computer vision | ||
| 653 | |a Python | ||
| 653 | |a Image processing | ||
| 653 | |a Vision systems | ||
| 700 | 1 | |a Ogata, Yuto | |
| 700 | 1 | |a Gautam, Bishnu Prasad | |
| 700 | 1 | |a Wasaki, Katsumi | |
| 773 | 0 | |t arXiv.org |g (Dec 11, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3143451173/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2412.08159 |