This paper presents an empirical investigation of the critical determinants for the adoption of e-market in Australian small-and-medium sized enterprises (SMEs) within the technology-organization-environment (TOE) framework. A conceptual model is proposed for better understanding the adoption of e-market in Australian SMEs. Structural equation modelling is used for testing and validating the co...

The aim of this research is to study and develop models for driver’s lane-changing behaviour in an urban area using the logistic regression method. A pilot study was conducted using a videotape recording technique to film an approach road leading to a signalised intersection in an urban road during the morning off-peak period. Inter related coding methods were designed to described and verify t...

This paper presents a methodology and tool to support test selection from regression test suites based on change analysis in object-oriented designs. We assume that designs are represented using the Unified Modeling Language (UML) and we propose a formal mapping between design changes and a classification of regression test cases into three categories: Reusable, Retestable, and Obsolete. We pro...

This paper presents a methodology and tool to support test selection from regression test suites based on change analysis in object-oriented designs. We assume that designs are represented using the Unified Modeling Language (UML) 2.0 and we propose a formal mapping between design changes and a classification of regression test cases into three categories: Reusable, Retestable, and Obsolete. We...

Censored data, where the exact value of an observation is not fully observed, poses a challenge in statistical modelling. Traditional regression approaches often fail to adequately handle such leading biased estimates and inaccurate predictions. In this study, we propose novel anti-regression framework specifically designed for censored data The integrates advanced techniques incorporates mecha...