Browsing by Subject "software engineering"
Now showing items 1-3 of 3
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ADDRESSING SUBJECTIVITY IN CODE SMELL DETECTION BY LEVERAGING HUMAN FEEDBACK IN A DEEP-LEARNING-BASED SOLUTION
(2023-12-15)Code smells, being inherently subjective, can vary based on individual software developers' opinions and perspectives. Though many deep-learning-based models have been proposed for code smell detection, they often overlook ... -
COMPLEMENTING DEFICIENT BUG REPORTS WITH MISSING INFORMATION LEVERAGING NEURAL TEXT GENERATION
(2023-12-28)Software bug reports often lack crucial information (e.g., steps to reproduce, expected behaviour), which makes bug resolution challenging. A recent study found that 78% of bug reports from open-source projects (e.g., ... -
Comprehending Software Bugs Leveraging Code Structures with Neural Language Models
(2023-08-28)Software bugs claim ~50% of development time and cost the global economy billions of dollars every year. Unfortunately, despite the use of many software quality assurance (SQA) practices in software development (e.g., ...