Aldeida Aleti Ph.D. student at the Faculty of Information and Communication Technologies Swinburne University of Technology John Street, Hawthorn Melbourne, Victoria 3122, Australia

Research Useful Links Projects

• Ph.D. Adaptive Parameter Control for Evolutionary Algorithms, Swinburne University of Technology, Dec, 2008 - present. This project is supported by the Commonwealth of Australia, through the Cooperative Research Centre for Advanced Automotive Technology (C4-509: Dependability optimization at an architectural level of system design). Planned submission date: April, 2012.
• MEng in Computer Engineering, Polytechnic University of Tirana, Albania, 2008.
• BEng (Hons)
• Resume

• Tutor, lecturer (sessional), Faculty of Information and Communication Technologies, Swinburne University of Technology, 2011.
• Lecturer, Faculty of Electronics, Skenderbej University, Tirana, Albania, October, 2005 - November, 2008.
• Software developer (part time, C#), Elosofts, Tirana, Albania, 2006 - 2007.
• Software developer (part time, C#), Nilaccra, Istanbul, Turkey, 2002 - 2004.

Fields of Research

• Artificial Intelligence

I have research experience and academic peer reviewed publications in the field of Artificial Intelligence. I have investigated different optimisation and constraint handling techniques, such as Evolutionary Algorithms, Neural Networks, Bayesian Networks, Constraint Programming, etc.

• Optimisation of Software Architectures

The design of software architectures involves several decisions which have significant implications for the likelihood that the system achieves the desired economic and quality goals. The ever-increasing complexity of software systems introduces a big challenge for systems engineers, who have to choose from a growing number of design options resulting in a design space that is beyond the human capabilities of understanding and handling. To address this problem I have developed an optimisation framework for the design of software architectures which automates the exploration of the different design options.

• Automotive Embedded Systems

The automotive industry has been significantly influenced by the development in electronics and software systems during the last few decades. Legacy mechanical, electrical and manual systems are being replaced by embedded systems such as Electronic Fuel Injection (EFI), Anti-lock Breaking System (ABS), Intelligent Parking Assistance, Air-bag and Adaptive Cruise Control (ACC). With the support of the Cooperative Research Centre for Advanced Automotive Technology, I have worked on different problems of the automotive domain that involve safety critical embedded systems.

• Configuration of Stochastic Optimisation Algorithms

All known stochastic optimisation methods such as Simulated Annealing (SA), Evolutionary Algorithms (EA) and Estimation of Distribution Algorithms (EDA) have a range of adjustable parameters like learning rates, crossover probabilities and weighting factors. Poor algorithm parameterisation hinders the discovery of good solutions. I have developed different meta-algorithms which adjust algorithm parameters during the optimisation process, with the goal of achieving optimal algorithm performance.

2012

• Aldeida Aleti, Irene Moser and Sanaz Mostaghim, "Adaptive Range Parameter Control", In IEEE World Congress on Computational Intelligence (WCCI 2012) (pdf / link)
• Indika Meedeniya, Aldeida Aleti, Iman Avazpour and Ayman Amin, "Robust ArcheOpterix: Architecture Optimization of Embedded Systems under Uncertainty", International Workshop on Software Engineering for Embedded Systems (SEES 2012) in the International Conference on Software Engineering (ICSE 2012)
• Indika Meedeniya, Aldeida Aleti, and Lars Grunske, "Architecture-Driven Reliability Optimization with Uncertain Model Parameters" , in Journal of Systems and Software (JSS), 2012, to appear.

2011

• Indika Meedeniya, Irene Moser, Aldeida Aleti and Lars Grunske, "Software Architecture Evaluation under Uncertainty", in Quality of Software Architectures (QoSA 2011 - best paper award)
• Aldeida Aleti and Irene Moser, "Predictive Parameter Control", in Genetic and Evolutionary Computation Conference (GECCO 2011), (pdf / link)
• Aldeida Aleti and Indika Meedeniya, "Component Deployment Optimisation with Bayesian Learning" , in Component Based Software Engineering (CBSE 2011)
• Indika Meedeniya, Bara Buhnova, Aldeida Aleti and Lars Grunske, "Reliability-Driven Deployment Optimization for Embedded Systems", in Journal of Systems and Software (JSS 2011)

2010

• Indika Meedeniya, Bara Zimmerova, Aldeida Aleti and Lars Grunske, "Architecture-Driven Reliability and Energy Optimization for Complex Embedded Systems", in Quality of Software Architectures (QoSA 2010). (pdf / link)
• Antony Tang and Aldeida Aleti, "Human Reasoning and Software Design: An Analysis", in Studying Professional Software Designers Workshop 2010 (SPSD'2010). (pdf / link)
• A. Tang, A. Aleti, J. Burge and H. van Vliet, "What makes software design effective", in Journal of Design Studies, in press. (pdf / link)

2009

• Aldeida Aleti, Stefan Bjornander, Lars Grunske, and Indika Meedeniya, "Acheopterix: An extendable tool for architecture optimisation of aadl models", in Model-based Methodologies for Pervasive and Embedded Software (MOMPES), International Conference of Software Engineering (ICSE), ACM and IEEE Digital Libraries, 2009, pp. 61-71. (pdf / link)
• Aldeida Aleti "Quality Assessment of Multiobjective Optimisation Algorithms in Component Deployment", in the Doctoral Symposium allocated at the 7th joint meeting of the European Software Engineering Conference (ESEC)
and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE). ACM Digital Libraries, 2009, pp. 39-40. (pdf / link)
• Aldeida Aleti, Lars Grunske, Indika Meedeniya, Irene Moser, "Let the ants deploy your software - An ACO based deployment optimisation strategy", in the 24th IEEE/ACM International Conference on Automated Software Engineering (ASE). IEEE Digital Libraries, 2009, pp. 505 - 509 (pdf / link)
• Indika Meedeniya, Aldeida Aleti and Bara Zimmerova, "Redundancy Allocation in Automotive Systems using Multi-objective Optimisation", in SAASE 09. (pdf / link)

ArcheOpterix

• ArcheOpterix provides a generic framework for embedded software architecture design problems that require multi-objective optimization satisfying numerous design constraints.
• Extensible interfaces for further development of quality evaluation techniques.
• Provides the capability to integrate multi-objective optimization strategies for architecture design process.
• The ArcheOpterix tool has been developed with Java and Eclipse and can be directly used as a plug-in for the Open Source AADL Tool Environment; OSATE

Journal of Systems and Software - "Quality Optimisation of Software Architecture and Design Specifications"

• The "Quality Optimisation of Software Architecture and Design Specifications" special issue of the Journal of Systems and Software will be a collection of peer-reviewed articles that focus on novel research results in the area of quality-oriented optimisation of software architecture and design artefacts.