Home | Research   Search | Quick Facts | Site Map 
Information About
Information For
Software Engineering
Software Engineering provides a vibrant and conducive research environment. Each research staff or research student is assigned to a research laboratory related to his/her research areas. Each laboratory is grouped under two main research themes i.e. Software Engineering and Intelligent Software. The former investigates the advanced methods, techniques, and tools in the development, testing, and maintenance a high quality software system. The latter is a multi-disciplinary research that focus on the well-engineered intelligent software systems. The laboratories are listed as follows:
  • Software Engineering Research Laboratory (SERLab)
  • Embedded & Real-time SE Laboratory (EReTSEL)
  • Artificial Intelligence & Bioinformatics Laboratory (AIBIL)
  • Intelligent Software Systems Laboratory (IntelliSys)
  • Intelligent/Adaptive Hypermedia Learning System Laboratory (IHLSys)
Software Engineering Research Laboratory (SERLab)
Abstract of research area

The Software Engineering Research Laboratory (SERLab) actively involves in the research efforts that aim to improve the techniques, methods, processes and tools for development and maintenance of software systems. The contributions of our research activities extend over various software engineering knowledge areas with the focus on certain research themes. Current research themes include :

  • Highly Evolvable Software Systems
  • Reusable Software Components
  • Advanced Software Development Methods/Techniques
  • Automated Software Verification & Testing
  • Software Engineering Fundamentals / Theories
The research results may be applied to a variety of application areas ranging from small embedded systems to large scale software applications. Most of the research is conducted with close industrial contacts using surveys, experiments and case studies.

Current/Active Research Projects:
  • The Development of an Automated Tool to Support Effective Requirement Change Propagation MOSTI-ScienceFund Grant, Vote No [abstract]
  • Design Framework of Multi Agent Software Based on Patterns MOSTI-ScienceFund Grant, Vote No [abstract]
  • Tools for Component-Oriented Programming of Embedded Real-Time Software MOHE-FRGS, Vote No.:78093 [abstract]
  • Formal Methods of multi-Agent Systems Using Model Checking Algorithm MOHE-FRGS, Vote No.:78093 [abstract]
  • Hybird Uncertainty Approach for Handling Discrenibility Conditionals & Consequents Attributions MOHE-FRGS, Vote No.:78093 [abstract]
  • Development and Evaluation of Reusable RFID Software Components MOSTI-ScienceFund Grant, Vote No 79104 [abstract]
  • Adaptive Software Architecture for Radio Frequency Identification (RFID) Middleware MOSTI-ScienceFund Grant, Vote No 79103 [abstract]
  • Change Propagation and Architectural Adaptation: Towards a Holistic Approach to Resilient Software Systems MOHE-FRGS, Vote No.:78093 [abstract]
  • Generative Reuse Approach for Component- Based Software Engineering of Embedded Real-Time System MOHE-FRGS
  • [abstract]
  • Framework For Component-Based Software Engineering Of Embedded Software In Resource Constrained Real-Time Systems MOSTI-ScienceFund Grant, Vote No 79090 [abstract]
Past/Completed Research Projects:
  • Design Metrics for Distributed Software Systems UTM-RMC Research Grant, Vote No. : 71705
  • Performance evaluation and enhancement for Web-based Information Systems UTM-RMC Research Grant, Vote No. : 71707
  • Distributed Software Engineering : Method and Tools for designing the Distributed Software Architecture UTM-RMC Research Grant, Vote No. : 71550 [abstract]
  • Radiology Information System UTM-RMC Research Grant, Vote No. : 71389
  • A Cost-Effective Teleradiology Systems MTCS Research Grant, Vote No. : TCS 76004
  • The Use of Formal Methods for Embedded Real-Time System UPP-UTM VOT 71849
  • Experimental Evaluation of Hybrid Software Engineering Methodology for Embedded Firmware Development on Intelligent Mobile Robot Vot No.: 71848
Major publications
  • Pericles Loucopoulos and Wan M.N. Wan Kadir, "Business Rule Driven Object-Oriented Design (BROOD)", Journal of Database Management, Vol. 19, No. 1, p.p. 41-73
  • Radziah Mohamad, Safaai Deris and Hany H. Ammar, “Pattern-Oriented Design for Multi-Agent System: A Conceptual Model”, Journal of Object Technology, Volume 6, Number 3, May/June, 2007.
  • Radziah Mohamad, Safaai Deris and Hany H. Ammar, “MaSE2Jadex: A Roadmap to engineer Jadex Agents from MaSE Methodology”, International Journal of Intelligent Technology, 1(3): 245-251, ISSN 1305-6417, August 2006.
  • Dayang Norhayati Abang Jawawi, Safaai Deris and Rosbi Mamat, “Application of Component-based Analysis Patterns for Pattern-based Reverse Engineering of Mobile Robot Software.” Malaysian Journal of Computer Science,  Vol. 18, No. 1, June 2005, pp. 20-30.
  • Hui M. Teo and Wan M.N. Wan Kadir, A Comparative Study of Interface Design Approaches for Service-Oriented Software, the 13th Asia Pacific Software Engineering Conference (APSEC06), Bangalore, India.
  • Roslinda Maznan and Wan M.N. Wan Kadir, A comparative evaluation of the three prominent approaches in adaptable software architecture, the Second Malaysian Software Engineering Conference (MySEC'06), Kuala Lumpur, Malaysia.
  • Wan M.N. Wan Kadir and Pericles Loucopoulos, Relating Evolving Business Rules to Software Design, Vol. 50, No. 7, Journal of Systems Architecture, Elsevier Science (pp. 129-134)
  • Radziah Mohamad, Safaai Deris, Hany H. Ammar, Formalizing the Pattern-Oriented Analysis and Design (POAD) Model Using Object-Z , The 1 st Malaysian Software Engineering Conference, Penang , 12 – 13 Dec 2005.
  • Dayang Norhayati Abang Jawawi, Radziah Mohamad, Safaai Deris, Rosbi Mamat , Transforming Pattern-Oriented Models into Component-Based Models for Embedded Real-Time Software Development , The 1 st Malaysian Software Engineering Conference , Penang , 12 – 13 Dec 2005.
Members

Dr. Wan Mohd Nasir Wan Kadir
Dr. Dayang Norhayati Abg Jawawi
Dr. Ali Selamat
Dr. Radziah Mohamad
Dr. Suhaimi Ibrahim
Mohd Yazid Idris
Norizam Katmon
Ruhaidah Samsudin
Shahliza Abd Halim
Noraini Ibrahim

Current Research Staff / Postgraduates
Firdaus Mohamad
Hidayah Elyas
Teo Hui Ming
Mardhiyono
Reza Shahamiri
Hassan Tatabaei
Suryani Ismail
Suhaimi Mohamad
Siti Rochimah
Lusiana
Balsam A. Mustafa
Salina Bt. Mamat
Mohd Adib B. Sarijari
Chaliaw Petking
Lee Sze Sam
Intelligent Systems Research Laboratory (InteliSys Lab)
Abstract of research area
AI can be defined as the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way.

A more or less flexible or efficient approach can be taken depending on the requirements established, which influences how artificial the intelligent behavior appears. AI is generally associated with Computer Science, but it has many important links with other fields such as Mathematics, Psychology, Cognition, Biology and Philosophy, among many others.

Our ability to combine knowledge from all these fields will ultimately benefit our progress in the quest of creating an intelligent artificial being.

Members

Dr. Siti Zaiton Mohd Hashim
Assoc. Prof. Dr. Puteh bt Saad
Assoc. Prof. Abdul Manan Ahmad
Dr. Ismail b. Mat Amin
Muhamad Ashari Hj Alias

Artificial Intelligence & Bioinformatics Lab (AIBIL)
Abstract of research area
Bioinformatics research has been currently the agenda of research for Malaysia. Bioinformatics can be defined as the science of informatics as applied to biological research. Informatics is the management and analysis of data using advanced computing techniques.

Bioinformatics is particularly important as an adjunct to genomics research, because of the large amount of complex data this research generates.

It involves the application of information technology to analyze and manage large data sets resulting from gene sequencing or related techniques. Researches done or currently undergoing mainly involve the creation of extensive electronic databases on genomes, protein sequences etc. Also involves techniques such as three-dimensional modelling of biomolecules and biological systems.

Members

Prof. Dr. Safaai Deris (Head)
Muhamad Razib b. Othman
Zalmiyah bt Zakaria
Zuraini Ali Shah
Mohd Saberi Mohamad

Past/Completed Research Projects:

There are 9 research grants have been secured by our researchers since the year 2003:-

  • IRPA grant (in progress): Protein Function Prediction from Protein-Protein Interactions.
  • IRPA grant (in progress): Semantic Meta Protein Database.
  • IRPA grant (completed): Biological Data Mining.
  • IRPA grant (completed): Cell Ontology.
  • IRPA grant (completed): 3D Protein Structure Visualization.
  • UTM grant (completed): Biological Information Retrieval.
  • UTM grant (completed): Protein Sequence Alignment.
  • UTM grant (completed): Component Based Bioinformatics Software.
  • Development. IRPA grant (completed): Secondary Protein Structure Prediction.
In This Section
- Overview
UTM Web Site | University Press | Library
Copyright 2008 FSKSM. All rights reserved