Predicting line-level defects by capturing code contexts with hierarchical transformers
P Mahbub, MM Rahman - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Software defects consume 40% of the total budget in software development and cost the
global economy billions of dollars every year. Unfortunately, despite the use of many …
global economy billions of dollars every year. Unfortunately, despite the use of many …
PyBugHive: A Comprehensive Database of Manually Validated, Reproducible Python Bugs
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 few bug databases …
most popular language on GitHub for years. But so far, there are only a few bug databases …
A Comparative Study of Commit Representations for JIT Vulnerability Prediction
With the evolution of software systems, their size and complexity are rising rapidly.
Identifying vulnerabilities as early as possible is crucial for ensuring high software quality …
Identifying vulnerabilities as early as possible is crucial for ensuring high software quality …
CrashJS: A NodeJS Benchmark for Automated Crash Reproduction
Software bugs often lead to software crashes, which cost US companies upwards of $2.08
trillion annually. Automated Crash Reproduction (ACR) aims to generate unit tests that …
trillion annually. Automated Crash Reproduction (ACR) aims to generate unit tests that …
[DOC][DOC] Evaluation of machine learning methods in software defect prediction
Ł Falas - ida.liu.se
Background: Software Quality Assurance (SQA) is an important element of the software
development process focusing on detection of software defects (informally called software …
development process focusing on detection of software defects (informally called software …