Search Results for author:
Found 15 papers, 11 papers with code
Identifying architectural design decisions for achieving green ML serving
The aim is to analyze ML serving architectural design decisions for the purpose of understanding and identifying them with respect to quality characteristics from the point of view of researchers and practitioners in the context of ML serving literature.
Energy Efficiency of Training Neural Network Architectures: An Empirical Study
The evaluation of Deep Learning models has traditionally focused on criteria such as accuracy, F1 score, and related measures.
E-APR: Mapping the Effectiveness of Automated Program Repair
We introduce a new approach, Explaining Automated Program Repair (E-APR), which identifies features of buggy programs that explain why a particular instance is difficult for an APR technique.
Software Engineering
Learning the Relation between Code Features and Code Transforms with Structured Prediction
We instantiate our approach in the context of repair transform prediction for Java programs.
Empirical Review of Java Program Repair Tools: A Large-Scale Experiment on 2,141 Bugs and 23,551 Repair Attempts
Our goal is to have a better understanding of the current state of automatic program repair tools on a large diversity of benchmarks.
Software Engineering
Human-competitive Patches in Automatic Program Repair with Repairnator
Repairnator is a bot.
Software Engineering
An Empirical Study on Quality of Android Applications written in Kotlin language
Secondly, it aims to measure the quality of Android applications that are written using Kotlin and to compare it with the quality of Android application purely written using Java.
Software Engineering
A Comprehensive Study of Automatic Program Repair on the QuixBugs Benchmark
This sets a baseline for future research of automatic repair on QuixBugs.
Software Engineering
Astor: Exploring the Design Space of Generate-and-Validate Program Repair beyond GenProg
Our goal is to facilitate the design, development and evaluation of repair approaches by providing a framework that: a) contains components commonly present in approaches implementations thus new approaches can be built over them, b) provides built-in implementations of existing repair approach.
Software Engineering
Two Datasets of Questions and Answers for Studying the Development of Cross-platform Mobile Applications using Xamarin Framework
Firstly, to present two datasets of questions and answers (Q&A) related to the development of mobile applications using Xamarin.
Software Engineering
Open-ended Exploration of the Program Repair Search Space with Mined Templates: the Next 8935 Patches for Defects4J
For that, we design Cardumen, a repair approach based mined templates that has an ultra-large search space.
Software Engineering
Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities
We aim to reason about the repair ingredients by using code similarities to prioritize and transform statements in a codebase for patch generation.
Software Engineering
Dynamic Analysis can be Improved with Automatic Test Suite Refactoring
Results: Experimental results show that test suite refactoring can effectively simplify the execution traces of the test suite.
Software Engineering
Automatic Repair of Real Bugs: An Experience Report on the Defects4J Dataset
The result of our experiment shows that 47 bugs of the Defects4J dataset can be automatically repaired by state-of- the-art repair.
Software Engineering
ASTOR: Evolutionary Automatic Software Repair for Java
Context: During last years, many automatic software repair approaches have been presented by the software engineering research community.
Software Engineering
