Results 21 to 30 of about 18,096 (259)
RLocator: Reinforcement Learning for Bug Localization
IEEE Transactions on Software EngineeringThis package contains the material used in the manuscript. For more information on understanding the package structure, please read README.md.
Partha Chakraborty +2 more
+9 more sources
You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems [PDF]
, 2019 Properly benchmarking Automated Program Repair (APR) systems should contribute to the development and adoption of the research outputs by practitioners.
Bissyandé, Tegawendé F. +5 more
core +2 more sources
IEEE Access, 2019 Software bug localization is very important in software engineering, but it is also complicated and time consuming. To improve the efficiency of developers, researchers have developed various traditional bug localization and machine learning bug ...
Guangliang Liu +4 more
doaj +1 more source
Astor: Exploring the Design Space of Generate-and-Validate Program Repair beyond GenProg [PDF]
, 2019 During last years, researches have proposed novel repair approaches that automatically generate patches for repairing software bugs. Repair approaches can be loosely characterized along the main design philosophy such generate- and-validate or synthesis ...
Martinez, Matias, Monperrus, Martin
core +2 more sources
Bug Localization for Version Issues With Defect Patterns
IEEE Access, 2019 Version issues are becoming more and more prominent with the continuous development of software. Bug localization for version issues is time-consuming and labor-intensive.
Xiaobing Sun +4 more
doaj +1 more source
Software multi-fault localization via Chameleon clustering in parallel
Journal of King Saud University: Computer and Information Sciences, 2023 Fault localization have proven to be useful in various software during the process of software testing and debugging. The presence of multiple faults simultaneously may deteriorate the effectiveness of existing fault-localization techniques.
Heling Cao +3 more
doaj +1 more source
Cause Clue Clauses: Error Localization using Maximum Satisfiability [PDF]
, 2011 Much effort is spent everyday by programmers in trying to reduce long, failing execution traces to the cause of the error. We present a new algorithm for error cause localization based on a reduction to the maximal satisfiability problem (MAX-SAT), which
Jose, Manu, Majumdar, Rupak
core +1 more source
Locating bugs without looking back [PDF]
, 2017 Bug localisation is a core program comprehension task in software maintenance: given the observation of a bug, e.g. via a bug report, where is it located in the source code?
CD Manning +12 more
core +2 more sources
Mapping Bug Reports to Relevant Source Code Files Based on the Vector Space Model and Word Embedding
IEEE Access, 2019 Although software bug localization in software maintenance and evolution is cumbersome and time-consuming, it is also very important, especially for large-scale software projects.
Guangliang Liu +4 more
doaj +1 more source
Test Case Purification for Improving Fault Localization [PDF]
, 2014 Finding and fixing bugs are time-consuming activities in software development. Spectrum-based fault localization aims to identify the faulty position in source code based on the execution trace of test cases.
Monperrus, Martin, Xuan, Jifeng
core +6 more sources