Project cooperationUpdated on 4 December 2023
AI Model for Detecting Defects in Software Projects
About
Faulty modules that cause software execution to fail are common in large software projects. The source code for a significant number of modules can be found in various software repositories. These software repositories contain the software metrics of each module and the faulty state of the module. Software companies face a significant problem in detecting defects in large, complex programs. This project uses AI and statistical analysis techniques to discover the characteristics that indicate the faulty state of software modules. The analysis models derived from the retrieved information will be combined with existing design metrics and defect data to improve prediction.
Stage
- Planning
Type
- Research
- Technical
Organisation
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Daniel Chirtes
CEO at Haptic R&D Consulting Srl
Aricestii Rahtivani, Romania
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Florin-Ciprian Hategan
Business developer at ROPARDO-Software Engineering
Sibiu, Romania