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Aldeida Aleti
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- affiliation: Monash University, Caulfield East, VIC, Australia
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2020 – today
- 2024
- [j36]Matias Martinez, Maria Kechagia, Anjana Perera, Justyna Petke, Federica Sarro, Aldeida Aleti:
Test-based patch clustering for automatically-generated patches assessment. Empir. Softw. Eng. 29(5): 116 (2024) - [j35]Yang Hong, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Aldeida Aleti:
Don't forget to change these functions! recommending co-changed functions in modern code review. Inf. Softw. Technol. 176: 107547 (2024) - [j34]Saranya Alagarsamy, Chakkrit Tantithamthavorn, Aldeida Aleti:
A3Test: Assertion-Augmented Automated Test case generation. Inf. Softw. Technol. 176: 107565 (2024) - [j33]Alvin Jian Jia Tan, Chun Yong Chong, Aldeida Aleti:
REARRANGE: Effort estimation approach for software clustering-based remodularisation. Inf. Softw. Technol. 176: 107567 (2024) - [j32]Willem Meijer, Catia Trubiani, Aldeida Aleti:
Experimental evaluation of architectural software performance design patterns in microservices. J. Syst. Softw. 218: 112183 (2024) - [j31]Neelofar, Aldeida Aleti:
Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features. ACM Trans. Softw. Eng. Methodol. 33(4): 94:1-94:32 (2024) - [j30]Anjana Perera, Burak Turhan, Aldeida Aleti, Marcel Böhme:
On the Impact of Lower Recall and Precision in Defect Prediction for Guiding Search-based Software Testing. ACM Trans. Softw. Eng. Methodol. 33(6): 144 (2024) - [c52]Victor Crespo-Rodriguez, Neelofar, Aldeida Aleti:
PAFOT: A Position-Based Approach for Finding Optimal Tests of Autonomous Vehicles. AST@ICSE 2024: 159-170 - [c51]Neelofar, Aldeida Aleti:
Towards Reliable AI: Adequacy Metrics for Ensuring the Quality of System-level Testing of Autonomous Vehicles. ICSE 2024: 68:1-68:12 - [c50]Justyna Petke, Matias Martinez, Maria Kechagia, Aldeida Aleti, Federica Sarro:
The Patch Overfitting Problem in Automated Program Repair: Practical Magnitude and a Baseline for Realistic Benchmarking. SIGSOFT FSE Companion 2024: 452-456 - [i24]Jian Gu, Chunyang Chen, Aldeida Aleti:
On the Semantics of LM Latent Space: A Vocabulary-defined Approach. CoRR abs/2401.16184 (2024) - [i23]Saranya Alagarsamy, Chakkrit Tantithamthavorn, Chetan Arora, Aldeida Aleti:
Enhancing Large Language Models for Text-to-Testcase Generation. CoRR abs/2402.11910 (2024) - [i22]Victor Crespo-Rodriguez, Neelofar, Aldeida Aleti:
PAFOT: A Position-Based Approach for Finding Optimal Tests of Autonomous Vehicles. CoRR abs/2405.03326 (2024) - [i21]Jian Gu, Aldeida Aleti, Chunyang Chen, Hongyu Zhang:
A Semantic-based Layer Freezing Approach to Efficient Fine-Tuning of Language Models. CoRR abs/2406.11753 (2024) - [i20]Willem Meijer, Catia Trubiani, Aldeida Aleti:
Experimental evaluation of architectural software performance design patterns in microservices. CoRR abs/2409.03792 (2024) - [i19]Sidong Feng, Haochuan Lu, Jianqin Jiang, Ting Xiong, Likun Huang, Yinglin Liang, Xiaoqin Li, Yuetang Deng, Aldeida Aleti:
Enabling Cost-Effective UI Automation Testing with Retrieval-Based LLMs: A Case Study in WeChat. CoRR abs/2409.07829 (2024) - 2023
- [j29]Anjana Perera, Aldeida Aleti, Burak Turhan, Marcel Böhme:
An Experimental Assessment of Using Theoretical Defect Predictors to Guide Search-Based Software Testing. IEEE Trans. Software Eng. 49(1): 131-146 (2023) - [j28]Neelofar, Kate Smith-Miles, Mario Andrés Muñoz, Aldeida Aleti:
Instance Space Analysis of Search-Based Software Testing. IEEE Trans. Software Eng. 49(4): 2642-2660 (2023) - [c49]Aldeida Aleti:
Software Testing of Generative AI Systems: Challenges and Opportunities. ICSE-FoSE 2023: 4-14 - [c48]Viet Huynh, Buser Say, Peter Vogel, Lucy Cao, Geoffrey I. Webb, Aldeida Aleti:
Rapid Identification of Protein Formulations with Bayesian Optimisation. ICMLA 2023: 776-781 - [c47]Riccardo Pinciroli, Aldeida Aleti, Catia Trubiani:
Performance Modeling and Analysis of Design Patterns for Microservice Systems. ICSA 2023: 35-46 - [c46]Alvin Jian Jia Tan, Chun Yong Chong, Aldeida Aleti:
Closing the Loop for Software Remodularisation - REARRANGE: An Effort Estimation Approach for Software Clustering-based Remodularisation. ICSE Companion 2023: 326-327 - [c45]Alvin Jian Jia Tan, Chun Yong Chong, Aldeida Aleti:
Extended Abstract of E-SC4R: Explaining Software Clustering for Remodularisation. SANER 2023: 846-847 - [i18]Saranya Alagarsamy, Chakkrit Tantithamthavorn, Aldeida Aleti:
A3Test: Assertion-Augmented Automated Test Case Generation. CoRR abs/2302.10352 (2023) - [i17]Alvin Jian Jia Tan, Chun Yong Chong, Aldeida Aleti:
Closing the Loop for Software Remodularisation - REARRANGE: An Effort Estimation Approach for Software Clustering-based Remodularisation. CoRR abs/2303.06283 (2023) - [i16]Aldeida Aleti:
Software Testing of Generative AI Systems: Challenges and Opportunities. CoRR abs/2309.03554 (2023) - [i15]Neelofar, Aldeida Aleti:
Towards Reliable AI: Adequacy Metrics for Ensuring the Quality of System-level Testing of Autonomous Vehicles. CoRR abs/2311.08049 (2023) - [i14]Neelofar, Kate Smith-Miles, Mario Andrés Muñoz, Aldeida Aleti:
Instance Space Analysis of Search-Based Software Testing. CoRR abs/2312.02392 (2023) - [i13]Jian Gu, Chunyang Chen, Aldeida Aleti:
Neuron Patching: Neuron-level Model Editing on Code Generation and LLMs. CoRR abs/2312.05356 (2023) - 2022
- [j27]Laksri Wijerathna, Aldeida Aleti, Tingting Bi, Antony Tang:
Mining and relating design contexts and design patterns from Stack Overflow. Empir. Softw. Eng. 27(1): 8 (2022) - [j26]Anjana Perera, Aldeida Aleti, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Burak Turhan, Lisa Kuhn, Katie Walker:
Search-based fairness testing for regression-based machine learning systems. Empir. Softw. Eng. 27(3): 79 (2022) - [j25]Faheem Ullah, Muhammad Ali Babar, Aldeida Aleti:
Design and evaluation of adaptive system for big data cyber security analytics. Expert Syst. Appl. 207: 117948 (2022) - [j24]Najam Nazar, Aldeida Aleti, Yaokun Zheng:
Feature-based software design pattern detection. J. Syst. Softw. 185: 111179 (2022) - [j23]Alvin Jian Jia Tan, Chun Yong Chong, Aldeida Aleti:
E-SC4R: Explaining Software Clustering for Remodularisation. J. Syst. Softw. 186: 111162 (2022) - [c44]Mostafa Rizk, Julian Garcia, Aldeida Aleti, David Green:
Using evolutionary game theory to understand scalability in task allocation. GECCO Companion 2022: 152-155 - [c43]Aldeida Aleti, Mark Wallace, Markus Wagner:
Neighbours similar fitness and the effectiveness of restarting local search. GECCO Companion 2022: 172-175 - [c42]Charaka Geethal Kapugama, Van-Thuan Pham, Aldeida Aleti, Marcel Böhme:
Human-in-the-loop oracle learning for semantic bugs in string processing programs. ISSTA 2022: 215-226 - [c41]Yang Hong, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Aldeida Aleti:
CommentFinder: a simpler, faster, more accurate code review comments recommendation. ESEC/SIGSOFT FSE 2022: 507-519 - [i12]Matias Martinez, Maria Kechagia, Anjana Perera, Justyna Petke, Federica Sarro, Aldeida Aleti:
Test-based Patch Clustering for Automatically-Generated Patches Assessment. CoRR abs/2207.11082 (2022) - [i11]Neelofar, Aldeida Aleti:
Identifying Safety-critical Scenarios for Autonomous Vehicles via Key Features. CoRR abs/2212.07566 (2022) - 2021
- [j22]Aldeida Aleti, Matias Martinez:
E-APR: Mapping the effectiveness of automated program repair techniques. Empir. Softw. Eng. 26(5): 99 (2021) - [j21]Phillip Smith, Aldeida Aleti, Vincent C. S. Lee, Robert A. Hunjet, Asad Khan:
Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control. Expert Syst. Appl. 186: 115675 (2021) - [j20]Shin Yoo, Aldeida Aleti, Burak Turhan, Leandro L. Minku, Andriy V. Miranskyy, Çetin Meriçli:
The 8th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. ACM SIGSOFT Softw. Eng. Notes 46(1): 23-24 (2021) - [c40]Aldeida Aleti, Mark Wallace, Markus Wagner:
On the effectiveness of restarting local search. GECCO Companion 2021: 333-334 - [c39]Tingting Bi, Xin Xia, David Lo, Aldeida Aleti:
A First Look at Accessibility Issues in Popular GitHub Projects. ICSME 2021: 390-401 - [c38]Aldeida Aleti:
On the Effectiveness of SBSE Techniques - Through Instance Space Analysis. SSBSE 2021: 3-6 - [i10]Alvin Jian Jia Tan, Chun Yong Chong, Aldeida Aleti:
E-SC4R: Explaining Software Clustering for Remodularisation. CoRR abs/2107.01766 (2021) - [i9]Anjana Perera, Aldeida Aleti, Marcel Böhme, Burak Turhan:
Defect Prediction Guided Search-Based Software Testing. CoRR abs/2109.12645 (2021) - [i8]Anjana Perera, Burak Turhan, Aldeida Aleti, Marcel Böhme:
How good does a Defect Predictor need to be to guide Search-Based Software Testing? CoRR abs/2110.02682 (2021) - 2020
- [j19]Dhananjay R. Thiruvady, Asef Nazari, Aldeida Aleti:
Multi-objective Beam-ACO for Maximising Reliability and Minimising Communication Overhead in the Component Deployment Problem. Algorithms 13(10): 252 (2020) - [c37]Catia Trubiani, Aldeida Aleti, Sarah Goodwin, Pooyan Jamshidi, André van Hoorn, Samuel Gratzl:
VisArch: Visualisation of Performance-based Architectural Refactorings. ECSA 2020: 182-190 - [c36]Laksri Wijerathna, Aldeida Aleti:
Predicting software design patterns from text using neural embedding. ASE Workshops 2020: 105-111 - [c35]Anjana Perera, Aldeida Aleti, Marcel Böhme, Burak Turhan:
Defect Prediction Guided Search-Based Software Testing. ASE 2020: 448-460 - [c34]Aldeida Aleti:
The effectiveness of automated software testing techniques (keynote). A-TEST@ESEC/SIGSOFT FSE 2020: 2 - [e1]Aldeida Aleti, Annibale Panichella:
Search-Based Software Engineering - 12th International Symposium, SSBSE 2020, Bari, Italy, October 7-8, 2020, Proceedings. Lecture Notes in Computer Science 12420, Springer 2020, ISBN 978-3-030-59761-0 [contents] - [i7]Mark Wallace, Aldeida Aleti:
The Neighbours' Similar Fitness Property for Local Search. CoRR abs/2001.02872 (2020) - [i6]Aldeida Aleti, Matias Martinez:
E-APR: Mapping the Effectiveness of Automated Program Repair. CoRR abs/2002.03968 (2020) - [i5]Najam Nazar, Aldeida Aleti:
Feature-Based Software Design Pattern Detection. CoRR abs/2012.01708 (2020)
2010 – 2019
- 2019
- [c33]Shuang Yu, Andy Song, Aldeida Aleti:
A Study on Online Hyper-heuristic Learning for Swarm Robots. CEC 2019: 2721-2728 - [c32]Conrad Chan, Aldeida Aleti, Alexander Heger, Kate Smith-Miles:
Evolving stellar models to find the origins of our galaxy. GECCO 2019: 1129-1137 - [c31]Carlos Oliveira, Aldeida Aleti, Yuan-Fang Li, Mohamed Abdelrazek:
Footprints of fitness functions in search-based software testing. GECCO 2019: 1399-1407 - [c30]Phillip Smith, Asad Khan, Aldeida Aleti, Vincent C. S. Lee, Robert A. Hunjet:
Data Communication Assistance via Swarm Robotic: A Behaviour Creation Comparison. IJCAI 2019: 111-126 - [i4]Phillip Smith, Robert A. Hunjet, Aldeida Aleti, Asad Khan:
Swarm Behaviour Evolution via Rule Sharing and Novelty Search. CoRR abs/1910.12412 (2019) - [i3]Phillip Smith, Aldeida Aleti, Vincent C. S. Lee, Robert A. Hunjet, Asad Khan:
Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control. CoRR abs/1910.12415 (2019) - [i2]Aldeida Aleti, Mark Wallace, Markus Wagner:
Is perturbation an effective restart strategy? CoRR abs/1912.02535 (2019) - 2018
- [j18]Aldeida Aleti, Catia Trubiani, André van Hoorn, Pooyan Jamshidi:
An efficient method for uncertainty propagation in robust software performance estimation. J. Syst. Softw. 138: 222-235 (2018) - [j17]Carlos Oliveira, Aldeida Aleti, Lars Grunske, Kate Smith-Miles:
Mapping the Effectiveness of Automated Test Suite Generation Techniques. IEEE Trans. Reliab. 67(3): 771-785 (2018) - [c29]Shuang Yu, Aldeida Aleti, Jan Carlo Barca, Andy Song:
Hyper-heuristic Online Learning for Self-assembling Swarm Robots. ICCS (1) 2018: 167-180 - [c28]André van Hoorn, Aldeida Aleti, Thomas F. Düllmann, Teerat Pitakrat:
ORCAS: Efficient Resilience Benchmarking of Microservice Architectures. ISSRE Workshops 2018: 146-147 - [c27]Shuang Yu, Andy Song, Aldeida Aleti:
Collective Hyper-heuristics for Self-assembling Robot Behaviours. PRICAI 2018: 499-507 - [i1]Aldeida Aleti, Catia Trubiani, André van Hoorn, Pooyan Jamshidi:
An Efficient Method for Uncertainty Propagation in Robust Software Performance Estimation. CoRR abs/1801.04644 (2018) - 2017
- [j16]Aldeida Aleti, Irene Moser, Lars Grunske:
Analysing the fitness landscape of search-based software testing problems. Autom. Softw. Eng. 24(3): 603-621 (2017) - [j15]Maziar Yazdani, Aldeida Aleti, Seyed Mohammad Khalili, Fariborz Jolai:
Optimizing the sum of maximum earliness and tardiness of the job shop scheduling problem. Comput. Ind. Eng. 107: 12-24 (2017) - [j14]Sahar Sohrabi, Yun Yang, Irene Moser, Aldeida Aleti:
Energy-efficient adaptive virtual machine migration mechanism for private Clouds. Concurr. Comput. Pract. Exp. 29(18) (2017) - [j13]Irene Moser, Marius Gheorghita, Aldeida Aleti:
Identifying Features of Fitness Landscapes and Relating Them to Problem Difficulty. Evol. Comput. 25(3): 407-437 (2017) - [c26]Nasser R. Sabar, Aldeida Aleti:
An Adaptive Memetic Algorithm for the Architecture Optimisation Problem. ACALCI 2017: 254-265 - [c25]Ayad Turky, Irene Moser, Aldeida Aleti:
An Iterated Local Search with Guided Perturbation for the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-Dimensional Loading Constraints. ACALCI 2017: 279-290 - [c24]Gary Greenfield, Aldeida Aleti:
On Pathological Fitness Landscapes for Constrained Combinatorial Optimization. FedCSIS (Position Papers) 2017: 81-86 - [c23]Alex Rothwell, Aldeida Aleti:
A computationally efficient gravitational search algorithm. GECCO (Companion) 2017: 181-182 - [c22]Aldeida Aleti, Katherine M. Malan, Irene Moser:
Fitness landscape characterisation of optimisation problems: GECCO 2017 tutorial. GECCO (Companion) 2017: 435-449 - [c21]Phillip Smith, Robert A. Hunjet, Aldeida Aleti, Jan Carlo Barca:
Adaptive data transfer methods via policy evolution for UAV swarms. ITNAC 2017: 1-8 - 2016
- [j12]Aldeida Aleti, Irene Moser:
A Systematic Literature Review of Adaptive Parameter Control Methods for Evolutionary Algorithms. ACM Comput. Surv. 49(3): 56:1-56:35 (2016) - [j11]Nathan Companez, Aldeida Aleti:
Can Monte-Carlo Tree Search learn to sacrifice? J. Heuristics 22(6): 783-813 (2016) - [j10]Irene Moser, Marius Gheorghita, Aldeida Aleti:
Investigating the correlation between indicators of predictive diagnostic optimisation and search result quality. Inf. Sci. 372: 162-180 (2016) - [j9]Asef Nazari, Dhananjay R. Thiruvady, Aldeida Aleti, Irene Moser:
A mixed integer linear programming model for reliability optimisation in the component deployment problem. J. Oper. Res. Soc. 67(8): 1050-1060 (2016) - [c20]Sahar Sohrabi, Antony Tang, Irene Moser, Aldeida Aleti:
Adaptive virtual machine migration mechanism for energy efficiency. GREENS@ICSE 2016: 8-14 - 2015
- [j8]Aldeida Aleti:
Designing automotive embedded systems with adaptive genetic algorithms. Autom. Softw. Eng. 22(2): 199-240 (2015) - [j7]Aldeida Aleti, Lars Grunske:
Test data generation with a Kalman filter-based adaptive genetic algorithm. J. Syst. Softw. 103: 343-352 (2015) - [c19]Indika Meedeniya, Aldeida Aleti, Irene Moser:
Efficient Sensitivity Analysis of Reliability in Embedded Software. ACALCI 2015: 395-408 - [c18]Shannon Pace, Ayad Turky, Irene Moser, Aldeida Aleti:
Distributing Fibre Boards: A Practical Application of the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-dimensional Loading Constraints. ICCS 2015: 2257-2266 - [c17]Aldeida Aleti, Irene Moser:
Fitness Landscape Characterisation for Constrained Software Architecture Optimisation Problems. ICECCS 2015: 11-20 - [c16]Aldeida Aleti, Madalina M. Drugan:
Adaptive Neighbourhood Search for the Component Deployment Problem. SSBSE 2015: 188-202 - 2014
- [j6]Aldeida Aleti, Irene Moser, Indika Meedeniya, Lars Grunske:
Choosing the Appropriate Forecasting Model for Predictive Parameter Control. Evol. Comput. 22(2): 319-349 (2014) - [j5]Indika Meedeniya, Irene Moser, Aldeida Aleti, Lars Grunske:
Evaluating probabilistic models with uncertain model parameters. Softw. Syst. Model. 13(4): 1395-1415 (2014) - [c15]Dhananjay R. Thiruvady, Irene Moser, Aldeida Aleti, Asef Nazari:
Constraint Programming and Ant Colony System for the Component Deployment Problem. ICCS 2014: 1937-1947 - [c14]Aldeida Aleti, Barbora Buhnova, Lars Grunske, Anne Koziolek, Indika Meedeniya:
Software Architecture Optimization Methods: A Systematic Literature Review. Software Engineering 2014: 77-78 - 2013
- [j4]Lars Grunske, Aldeida Aleti:
Quality optimisation of software architectures and design specifications. J. Syst. Softw. 86(10): 2465-2466 (2013) - [j3]Aldeida Aleti, Barbora Buhnova, Lars Grunske, Anne Koziolek, Indika Meedeniya:
Software Architecture Optimization Methods: A Systematic Literature Review. IEEE Trans. Software Eng. 39(5): 658-683 (2013) - [c13]Marius Gheorghita, Irene Moser, Aldeida Aleti:
Designing and characterising fitness landscapes with various operators. IEEE Congress on Evolutionary Computation 2013: 2766-2772 - [c12]Aldeida Aleti, Irene Moser:
Studying feedback mechanisms for adaptive parameter control in evolutionary algorithms. IEEE Congress on Evolutionary Computation 2013: 3117-3124 - [c11]Marius Gheorghita, Irene Moser, Aldeida Aleti:
Characterising fitness landscapes using predictive local search. GECCO (Companion) 2013: 67-68 - [c10]Aldeida Aleti, Irene Moser:
Entropy-based adaptive range parameter control for evolutionary algorithms. GECCO 2013: 1501-1508 - [c9]Catia Trubiani, Indika Meedeniya, Vittorio Cortellessa, Aldeida Aleti, Lars Grunske:
Model-based performance analysis of software architectures under uncertainty. QoSA 2013: 69-78 - 2012
- [j2]Indika Meedeniya, Aldeida Aleti, Lars Grunske:
Architecture-driven reliability optimization with uncertain model parameters. J. Syst. Softw. 85(10): 2340-2355 (2012) - [c8]Aldeida Aleti, Irene Moser, Sanaz Mostaghim:
Adaptive Range Parameter Control. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c7]Indika Meedeniya, Aldeida Aleti, Iman Avazpour, Ayman A. Amin:
Robust ArcheOpterix: Architecture optimization of embedded systems under uncertainty. SEES@ICSE 2012: 23-29 - 2011
- [j1]Indika Meedeniya, Barbora Buhnova, Aldeida Aleti, Lars Grunske:
Reliability-driven deployment optimization for embedded systems. J. Syst. Softw. 84(5): 835-846 (2011) - [c6]Aldeida Aleti, Indika Meedeniya:
Component deployment optimisation with bayesian learning. CBSE 2011: 11-20 - [c5]Aldeida Aleti, Irene Moser:
Predictive parameter control. GECCO 2011: 561-568 - [c4]Indika Meedeniya, Irene Moser, Aldeida Aleti, Lars Grunske:
Architecture-based reliability evaluation under uncertainty. QoSA/ISARCS 2011: 85-94 - 2010
- [c3]Indika Meedeniya, Barbora Buhnova, Aldeida Aleti, Lars Grunske:
Architecture-Driven Reliability and Energy Optimization for Complex Embedded Systems. QoSA 2010: 52-67
2000 – 2009
- 2009
- [c2]Aldeida Aleti, Lars Grunske, Indika Meedeniya, Irene Moser:
Let the Ants Deploy Your Software - An ACO Based Deployment Optimisation Strategy. ASE 2009: 505-509 - [c1]Aldeida Aleti, Stefan Björnander, Lars Grunske, Indika Meedeniya:
ArcheOpterix: An extendable tool for architecture optimization of AADL models. MOMPES 2009: 61-71
Coauthor Index
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