PROFILE

UPM's Staff Profile

DR. PATHIAH BINTI ABDUL SAMAT

SENIOR LECTURER

FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY

pathiah@upm.edu.my

PROFESSIONAL

UPM WEBSITE

PROFILE

pathiah

PROFESSIONAL

NAME :

(Dr.) PATHIAH BINTI ABDUL SAMAT

POST :

SENIOR LECTURER

ENTITY :

Faculty of Computer Science and Information Technology

FIELD OF SUPERVISION

SOFTWARE ENGINEERING

EDUCATION

PHD
UNIVERSITI KEBANGSAAN MALAYSIA, BANGI, SELANGOR
Graduated : 2012

SARJANA SAINS KOMPUTER
UNIVERSITI TEKNOLOGI MALAYSIA, SKUDAI, JOHOR
Graduated : 1998

SARJANAMUDA SAINS KOMPUTER
UNIVERSITI TEKNOLOGI MALAYSIA, SKUDAI, JOHOR
Graduated : 1995

DIPLOMA IN COMPUTER SCIENCE
TEKNOLOGI MARA
Graduated : 1991

BOOK PUBLICATION

1. A Case Study for Computer Science Application
ISPN: 978-967-344-446-5

JOURNAL PUBLICATION

1. Analysis of the Model Checkers Input Languages for Modeling Traffic Light Systems
Journal type: Citation-Indexed - Scopus

2. CMGT: Support Tool for Using Model Checking
Journal type: Citation-Indexed - Scopus

3. Common Modeling Language for Model Checkers
Journal type: Citation-Indexed - Scopus

4. Improving the Performance of TFS with Ensemble Learning for Cross-Project Software Defect Prediction
Journal type: Citation-Indexed - Scopus

5. SMMS: DOCUMENT MANAGEMENT IN AGILE MODEL FOR SOFTWARE MAINTENANCE
Journal type: Citation-Indexed - Scopus

6. Requirements identification for distributed agile team communication using high level carotene
Journal type: Citation-Indexed - Scopus

7. Verifying the Correctness of UML Statechart Outpatient Clinic Based on Common Modeling Language and SMV
Journal type: Citation-Indexed - Scopus

8. CROSS-PROJECT SOFTWARE DEFECT PREDICTION
Journal type: Citation-Indexed - Scopus

9. Improving Cross-Project Software Defect Prediction Method Through Transformation and Feature Selection Approach
Journal type: Citation-Indexed Journal - Science Citation Index (JCR)

10. Cross-project software defect prediction through multiple learning
Journal type: Citation-Indexed - Scopus

11. The influence of machine learning on the predictive performance of cross-project defect prediction: empirical analysis
Journal type: Citation-Indexed - Scopus

PUBLICATION

2024

Cross-project software defect prediction through multiple learning

2024

The influence of machine learning on the predictive performance of cross-project defect prediction: empirical analysis

2023

Improving Cross-Project Software Defect Prediction Method Through Transformation and Feature Selection Approach

2023

Cross-Project Software Defect Prediction Technique Through Similar Attribute Selection and Multiple Learning Method

2022

CROSS-PROJECT SOFTWARE DEFECT PREDICTION

2021

Verifying the Correctness of UML Statechart Outpatient Clinic Based on Common Modeling Language and SMV

2021

Requirements identification for distributed agile team communication using high level carotene

2019

SMMS: DOCUMENT MANAGEMENT IN AGILE MODEL FOR SOFTWARE MAINTENANCE

2012

Common Modeling Language for Model Checkers

2012

CMGT: Support Tool for Using Model Checking

2011

Analysis of the Model Checkers Input Languages for Modeling Traffic Light Systems

DISCLAIMER: All contents are my personal view & experience. UPM will not be held responsible or liable for any issue including misfortune, accidents, injury, death, damage, lost, delay or inconvenience.

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