jacksonpradolima Goto Github PK

followers: 100.0 following: 97.0 repos: 104.0 gists: 26.0

Name: Jackson Antonio do Prado Lima

Type: User

Company: Brick Abode

Bio: Ph.D in Computer Science at Federal University of Paraná (UFPR) & Developer at Brick Abode https://profile.codersrank.io/user/jacksonpradolima

Location: Curitiba, Brazil

Blog: jacksonpradolima.github.io

[~] $ whoami

🇧🇷 Brazillian (Santa Catarina / SC)
👨‍🎓 Bachelor in Information Systems at UDESC
🤓 Master in Computer Science at PPGINF / UFPR
👨‍💻 PhD in Computer Science at PPGINF / UFPR
🔬 Reseacher and Member of Research Group on Software Engineering (GrES)

My Development Stack

Application and Data

DevOps

Business Tools

Tech Skills

Coding Activity

Currently working on

📌 Continuous Integration
📌 Test Prioritization
📌 Multi-Armed Bandit
📌 Reinforcement Learning

🔭 Academic Info 🔭

Reviewer at

📌 IEEE
📌 SBC (Brazilian Computer Society)
📌 Wiley
📌 Springer Nature
📌 Elsevier

Some publications

📖 Learning-based prioritization of test cases in continuous integration of highly-configurable software published at Proceedings of the 24th ACM Conference on Systems and Software Product Line (SPLC'20)
📖 A Multi-Armed Bandit Approach for Test Case Prioritization in Continuous Integration Environments published at IEEE Transactions on Software Engineering (TSE)
📖 Test Case Prioritization in Continuous Integration environments: A systematic mapping study published at Information and Software Technology
📖 A systematic mapping study on higher order mutation testing published at Journal of Systems and Software
📖 Hyper-Heuristic Based Product Selection for Software Product Line Testing published at IEEE Computational Intelligence Magazine (CIM)
📖 Deriving products for variability test of Feature Models with a hyper-heuristic approach published at Applied Soft Computing (ASOC)

Jackson Antonio do Prado Lima's Projects

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

airbnb-ny-analysis

Analysis of New York Airbnb data collected on April 2, 2017 using PySpark with Zeppelin

Tool developed to evaluate results generated by JMetal Framework in multiobjective algorithms. This tool allows the user visualize some metrics in multiobjective problems context like Hypervolume, Spred and IGD besides run statistical test using Wilcoxx or Mann-Whitney and Effect Size using Vargha and Delaney.

autoencode

AutoenCODE is a Deep Learning infrastructure that allows to encode source code fragments into vector representations, which can be used to learn similarities.

battleship

Battleship in C with options in Portuguese

beamer-theme-execushares

A minimalist and modern Beamer theme

bubble-chart-for-gnuplot

This tool generates a script that plots a bubble chart in the gnuplot tool

cbio-gres-beamer

changeshark

coleman4hcs

COLEMAN (Combinatorial VOlatiLE Multi-Armed BANdit) - and strategies for HCS context

comfort

COMFORT Framework

comfort-jacoco-listener

COMFORT jacoco-listener to create per-test-method coverage using the jacoco library.

csv2bib

Convert the search results (csv file) from some Digital Library to bibtex file

curriculum-vitae

deterministic-optimal-tcpci

django-uuidfield

A UUIDField for Django

examples

Examples used for software testing classes

fama

FaMa Framework

famats

FaMa-FW is a Framework for automated analyses of feature models integrating some of the most commonly used logic representations and solvers proposed in the literature (BDD, SAT and CSP solvers are implemented). FaMa is the first tool integrating different solvers for the automated analyses of feature models.