All Outputs (11)

Domain-specific implications of error-type metrics in risk-based software fault prediction (2024)
Journal Article

Context: In software development, Software Fault Prediction (SFP) is essential for optimising resource allocation and improving testing efficiency. Traditional SFP methods typically use binary-class models, which can provide a limited perspective on... Read More about Domain-specific implications of error-type metrics in risk-based software fault prediction.

Leveraging deep learning for enhanced software fault prediction using error-type metrics (2024)
Presentation / Conference Contribution

Software Fault Prediction (SFP) is a crucial strategy in software quality assurance, aiming to reduce costs and optimise resource allocation by identifying potentially faulty software modules based on key project characteristics. Despite significant... Read More about Leveraging deep learning for enhanced software fault prediction using error-type metrics.

Integrating students as academic partners in software engineering: A group software development case study (2024)
Presentation / Conference Contribution

Exploring the role of a Student as an Academic Partner (SAP) in software engineering education, this study investigates the interactions between students and faculty and evaluates the perceptions of students on SAP's integration within a Group Softwa... Read More about Integrating students as academic partners in software engineering: A group software development case study.

Error-type -A novel set of software metrics for software fault prediction (2023)
Journal Article

In software development, identifying software faults is an important task. The presence of faults not only reduces the quality of the software, but also increases the cost of development life cycle. Fault identification can be performed by analysing... Read More about Error-type -A novel set of software metrics for software fault prediction.

Modelling interrelationship between diseases with communicating stream x-machines (2022)
Presentation / Conference Contribution

The world is moving towards alternative medicine and behavioural alteration for treating, managing,
and preventing chronical diseases. In the last few decades, diagrammatical models have been extensively used
to describe and understand the behaviou... Read More about Modelling interrelationship between diseases with communicating stream x-machines.

Exploring a web-based application to convert Tamil and Vietnamese speech to text without the effect of code- switching and code-mixing (2021)
Journal Article

This paper attempts to develop an application that converts Tamil and Vietnamese speech to text, with a view to encourage usage and indirectly ensure linguistic preservation of a classical language. The application converts spoken Tamil and Vietnames... Read More about Exploring a web-based application to convert Tamil and Vietnamese speech to text without the effect of code- switching and code-mixing.

A Stream X-Machine tool for modelling and generating test cases for chronic diseases based on state-counting approach (2021)
Journal Article

In the biomedical domain, diagrammatical models have been extensively used to describe and understand the behaviour of biological organisms (biological agents) for decades. Although these models are simple and comprehensive, they can only offer a sta... Read More about A Stream X-Machine tool for modelling and generating test cases for chronic diseases based on state-counting approach.

Modeling diseases with Stream X Machine (2021)
Presentation / Conference Contribution

At present the world is moving towards alternative medicine and behavioural alteration for treating, managing, and preventing chronical diseases. With the individuality of the human beings has added more complexity in a domain where very high accurac... Read More about Modeling diseases with Stream X Machine.

A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning (2021)
Presentation / Conference Contribution

Software fault prediction makes software quality assurance process more efficient and economic. Most of the works related to software fault prediction have mainly focused on classifying software modules as faulty or not, which does not produce suffic... Read More about A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning.

An algorithm for implementing a minimal stream X-Machine model to test the correctness of a system (2020)
Presentation / Conference Contribution

The rapid change of requirements has made software more complex and harder to maintain. Software testing tools play an important role in the Software Development Life Cycle. However, many technology companies have employed fast paced development of s... Read More about An algorithm for implementing a minimal stream X-Machine model to test the correctness of a system.

Covid-19 Care – A mobile application to help connect volunteers and vulnerable people in the community during the Covid-19 lockdown (2020)
Presentation / Conference Contribution

Whenever the world is faced with a devastating outbreak of events, technology innovations have proven to be a go to solution that expedite the recovery process. We propose a mobile application rapidly developed as a contender to the TechForce19 innov... Read More about Covid-19 Care – A mobile application to help connect volunteers and vulnerable people in the community during the Covid-19 lockdown.