Aldeida Aleti

Orcid: 0000-0002-1716-690X

Affiliations:
  • Monash University, Caulfield East, VIC, Australia


According to our database1, Aldeida Aleti authored at least 99 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Test-based patch clustering for automatically-generated patches assessment.
Empir. Softw. Eng., September, 2024

On the Impact of Lower Recall and Precision in Defect Prediction for Guiding Search-based Software Testing.
ACM Trans. Softw. Eng. Methodol., July, 2024

Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features.
ACM Trans. Softw. Eng. Methodol., May, 2024

Experimental evaluation of architectural software performance design patterns in microservices.
J. Syst. Softw., 2024

REARRANGE: Effort estimation approach for software clustering-based remodularisation.
Inf. Softw. Technol., 2024

Don't forget to change these functions! recommending co-changed functions in modern code review.
Inf. Softw. Technol., 2024

A3Test: Assertion-Augmented Automated Test case generation.
Inf. Softw. Technol., 2024

Enabling Cost-Effective UI Automation Testing with Retrieval-Based LLMs: A Case Study in WeChat.
CoRR, 2024

A Semantic-based Layer Freezing Approach to Efficient Fine-Tuning of Language Models.
CoRR, 2024

Enhancing Large Language Models for Text-to-Testcase Generation.
CoRR, 2024

On the Semantics of LM Latent Space: A Vocabulary-defined Approach.
CoRR, 2024

The Patch Overfitting Problem in Automated Program Repair: Practical Magnitude and a Baseline for Realistic Benchmarking.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Towards Reliable AI: Adequacy Metrics for Ensuring the Quality of System-level Testing of Autonomous Vehicles.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

PAFOT: A Position-Based Approach for Finding Optimal Tests of Autonomous Vehicles.
Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024), 2024

2023
Instance Space Analysis of Search-Based Software Testing.
IEEE Trans. Software Eng., April, 2023

An Experimental Assessment of Using Theoretical Defect Predictors to Guide Search-Based Software Testing.
IEEE Trans. Software Eng., 2023

Neuron Patching: Neuron-level Model Editing on Code Generation and LLMs.
CoRR, 2023

Extended Abstract of E-SC4R: Explaining Software Clustering for Remodularisation.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Closing the Loop for Software Remodularisation - REARRANGE: An Effort Estimation Approach for Software Clustering-based Remodularisation.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

Performance Modeling and Analysis of Design Patterns for Microservice Systems.
Proceedings of the 20th IEEE International Conference on Software Architecture, 2023

Rapid Identification of Protein Formulations with Bayesian Optimisation.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Software Testing of Generative AI Systems: Challenges and Opportunities.
Proceedings of the IEEE/ACM International Conference on Software Engineering: Future of Software Engineering, 2023

2022
E-SC4R: Explaining Software Clustering for Remodularisation.
J. Syst. Softw., 2022

Feature-based software design pattern detection.
J. Syst. Softw., 2022

Design and evaluation of adaptive system for big data cyber security analytics.
Expert Syst. Appl., 2022

Mining and relating design contexts and design patterns from Stack Overflow.
Empir. Softw. Eng., 2022

Search-based fairness testing for regression-based machine learning systems.
Empir. Softw. Eng., 2022

Identifying Safety-critical Scenarios for Autonomous Vehicles via Key Features.
CoRR, 2022

CommentFinder: a simpler, faster, more accurate code review comments recommendation.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Human-in-the-loop oracle learning for semantic bugs in string processing programs.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Using evolutionary game theory to understand scalability in task allocation.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Neighbours similar fitness and the effectiveness of restarting local search.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
The 8th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering.
ACM SIGSOFT Softw. Eng. Notes, 2021

Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control.
Expert Syst. Appl., 2021

E-APR: Mapping the effectiveness of automated program repair techniques.
Empir. Softw. Eng., 2021

How good does a Defect Predictor need to be to guide Search-Based Software Testing?
CoRR, 2021

On the Effectiveness of SBSE Techniques - Through Instance Space Analysis.
Proceedings of the Search-Based Software Engineering - 13th International Symposium, 2021

A First Look at Accessibility Issues in Popular GitHub Projects.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

On the effectiveness of restarting local search.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Feature-Based Software Design Pattern Detection.
CoRR, 2020

E-APR: Mapping the Effectiveness of Automated Program Repair.
CoRR, 2020

The Neighbours' Similar Fitness Property for Local Search.
CoRR, 2020

Multi-objective Beam-ACO for Maximising Reliability and Minimising Communication Overhead in the Component Deployment Problem.
Algorithms, 2020

The effectiveness of automated software testing techniques (keynote).
Proceedings of the A-TEST 2020: Proceedings of the 11th ACM SIGSOFT International Workshop on Automating TEST Case Design, 2020

Predicting software design patterns from text using neural embedding.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2020

Defect Prediction Guided Search-Based Software Testing.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

VisArch: Visualisation of Performance-based Architectural Refactorings.
Proceedings of the Software Architecture - 14th European Conference, 2020

2019
Is perturbation an effective restart strategy?
CoRR, 2019

Swarm Behaviour Evolution via Rule Sharing and Novelty Search.
CoRR, 2019

Data Communication Assistance via Swarm Robotic: A Behaviour Creation Comparison.
Proceedings of the Artificial Intelligence. IJCAI 2019 International Workshops, 2019

Evolving stellar models to find the origins of our galaxy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Footprints of fitness functions in search-based software testing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A Study on Online Hyper-heuristic Learning for Swarm Robots.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Mapping the Effectiveness of Automated Test Suite Generation Techniques.
IEEE Trans. Reliab., 2018

An efficient method for uncertainty propagation in robust software performance estimation.
J. Syst. Softw., 2018

Collective Hyper-heuristics for Self-assembling Robot Behaviours.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

ORCAS: Efficient Resilience Benchmarking of Microservice Architectures.
Proceedings of the 2018 IEEE International Symposium on Software Reliability Engineering Workshops, 2018

Hyper-heuristic Online Learning for Self-assembling Swarm Robots.
Proceedings of the Computational Science - ICCS 2018, 2018

2017
Identifying Features of Fitness Landscapes and Relating Them to Problem Difficulty.
Evol. Comput., 2017

Energy-efficient adaptive virtual machine migration mechanism for private Clouds.
Concurr. Comput. Pract. Exp., 2017

Optimizing the sum of maximum earliness and tardiness of the job shop scheduling problem.
Comput. Ind. Eng., 2017

Analysing the fitness landscape of search-based software testing problems.
Autom. Softw. Eng., 2017

Adaptive data transfer methods via policy evolution for UAV swarms.
Proceedings of the 27th International Telecommunication Networks and Applications Conference, 2017

A computationally efficient gravitational search algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Fitness landscape characterisation of optimisation problems: GECCO 2017 tutorial.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

On Pathological Fitness Landscapes for Constrained Combinatorial Optimization.
Proceedings of the Position Papers of the 2017 Federated Conference on Computer Science and Information Systems, 2017

An Iterated Local Search with Guided Perturbation for the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-Dimensional Loading Constraints.
Proceedings of the Artificial Life and Computational Intelligence, 2017

An Adaptive Memetic Algorithm for the Architecture Optimisation Problem.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
A mixed integer linear programming model for reliability optimisation in the component deployment problem.
J. Oper. Res. Soc., 2016

Investigating the correlation between indicators of predictive diagnostic optimisation and search result quality.
Inf. Sci., 2016

Can Monte-Carlo Tree Search learn to sacrifice?
J. Heuristics, 2016

A Systematic Literature Review of Adaptive Parameter Control Methods for Evolutionary Algorithms.
ACM Comput. Surv., 2016

Adaptive virtual machine migration mechanism for energy efficiency.
Proceedings of the 5th International Workshop on Green and Sustainable Software, 2016

2015
Test data generation with a Kalman filter-based adaptive genetic algorithm.
J. Syst. Softw., 2015

Designing automotive embedded systems with adaptive genetic algorithms.
Autom. Softw. Eng., 2015

Adaptive Neighbourhood Search for the Component Deployment Problem.
Proceedings of the Search-Based Software Engineering - 7th International Symposium, 2015

Fitness Landscape Characterisation for Constrained Software Architecture Optimisation Problems.
Proceedings of the 20th International Conference on Engineering of Complex Computer Systems, 2015

Distributing Fibre Boards: A Practical Application of the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-dimensional Loading Constraints.
Proceedings of the International Conference on Computational Science, 2015

Efficient Sensitivity Analysis of Reliability in Embedded Software.
Proceedings of the Artificial Life and Computational Intelligence, 2015

2014
Evaluating probabilistic models with uncertain model parameters.
Softw. Syst. Model., 2014

Choosing the Appropriate Forecasting Model for Predictive Parameter Control.
Evol. Comput., 2014

Constraint Programming and Ant Colony System for the Component Deployment Problem.
Proceedings of the International Conference on Computational Science, 2014

2013
Software Architecture Optimization Methods: A Systematic Literature Review.
IEEE Trans. Software Eng., 2013

Quality optimisation of software architectures and design specifications.
J. Syst. Softw., 2013

Model-based performance analysis of software architectures under uncertainty.
Proceedings of the 9th international ACM SIGSOFT conference on Quality of Software Architectures, 2013

Characterising fitness landscapes using predictive local search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Entropy-based adaptive range parameter control for evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Designing and characterising fitness landscapes with various operators.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Studying feedback mechanisms for adaptive parameter control in evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Architecture-driven reliability optimization with uncertain model parameters.
J. Syst. Softw., 2012

Robust ArcheOpterix: Architecture optimization of embedded systems under uncertainty.
Proceedings of the Second International Workshop on Software Engineering for Embedded Systems, 2012

Adaptive Range Parameter Control.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Reliability-driven deployment optimization for embedded systems.
J. Syst. Softw., 2011

Architecture-based reliability evaluation under uncertainty.
Proceedings of the 7th International Conference on the Quality of Software Architectures, 2011

Predictive parameter control.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Component deployment optimisation with bayesian learning.
Proceedings of the 14th International ACM Sigsoft Symposium on Component Based Software Engineering, 2011

2010
Architecture-Driven Reliability and Energy Optimization for Complex Embedded Systems.
Proceedings of the Research into Practice, 2010

2009
ArcheOpterix: An extendable tool for architecture optimization of AADL models.
Proceedings of the ICSE 2009 Workshop on Model-Based Methodologies for Pervasive and Embedded Software, 2009

Let the Ants Deploy Your Software - An ACO Based Deployment Optimisation Strategy.
Proceedings of the ASE 2009, 2009


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