A systematic literature review on the use of deep learning in software engineering research
An increasingly popular set of techniques adopted by software engineering (SE)
researchers to automate development tasks are those rooted in the concept of Deep …
researchers to automate development tasks are those rooted in the concept of Deep …
A critical review on the evaluation of automated program repair systems
Abstract Automated Program Repair (APR) has attracted significant attention from software
engineering research and practice communities in the last decade. Several teams have …
engineering research and practice communities in the last decade. Several teams have …
TBar: Revisiting template-based automated program repair
We revisit the performance of template-based APR to build comprehensive knowledge
about the effectiveness of fix patterns, and to highlight the importance of complementary …
about the effectiveness of fix patterns, and to highlight the importance of complementary …
VUDENC: vulnerability detection with deep learning on a natural codebase for Python
Context: Identifying potential vulnerable code is important to improve the security of our
software systems. However, the manual detection of software vulnerabilities requires expert …
software systems. However, the manual detection of software vulnerabilities requires expert …
Fixminer: Mining relevant fix patterns for automated program repair
Patching is a common activity in software development. It is generally performed on a source
code base to address bugs or add new functionalities. In this context, given the recurrence of …
code base to address bugs or add new functionalities. In this context, given the recurrence of …
On the efficiency of test suite based program repair: A systematic assessment of 16 automated repair systems for java programs
Test-based automated program repair has been a prolific field of research in software
engineering in the last decade. Many approaches have indeed been proposed, which …
engineering in the last decade. Many approaches have indeed been proposed, which …
Evaluating representation learning of code changes for predicting patch correctness in program repair
A large body of the literature of automated program repair develops approaches where
patches are generated to be validated against an oracle (eg, a test suite). Because such an …
patches are generated to be validated against an oracle (eg, a test suite). Because such an …
Avatar: Fixing semantic bugs with fix patterns of static analysis violations
Fix pattern-based patch generation is a promising direction in Automated Program Repair
(APR). Notably, it has been demonstrated to produce more acceptable and correct patches …
(APR). Notably, it has been demonstrated to produce more acceptable and correct patches …
FaCoY: a code-to-code search engine
Code search is an unavoidable activity in software development. Various approaches and
techniques have been explored in the literature to support code search tasks. Most of these …
techniques have been explored in the literature to support code search tasks. Most of these …
Learning to spot and refactor inconsistent method names
To ensure code readability and facilitate software maintenance, program methods must be
named properly. In particular, method names must be consistent with the corresponding …
named properly. In particular, method names must be consistent with the corresponding …