International Conference on

Advances in Software Engineering and Development (ICASD-27)

Conference Date

26th May - 27th May 2027

Conference Venue

Kandy, Sri Lanka

Conference Mode

Hybrid Conference
Proudly organized by:- Science Leagues

"Join global experts in Advances in Software Engineering and Development"

Registration Options

View all registration categories and choose the best fit.

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
SDG 12
SDG 12 Responsible Consumption and Production
SDG 16
SDG 16 Peace, Justice and Strong Institutions
SDG 17
SDG 17 Partnerships for the Goals
Track 01

Innovations in Software Development Methodologies

This track focuses on the latest advancements in software development methodologies, including agile practices and their impact on project outcomes. Participants will explore case studies and empirical research that highlight the effectiveness of these methodologies in real-world applications.

Track 02

Predictive Modeling and Machine Learning in Software Engineering

This session delves into the application of predictive modeling and various machine learning techniques in software engineering. Researchers will present their findings on how these technologies can enhance software quality and predict project success.

Track 03

Deep Learning Techniques for Software Quality Assurance

This track examines the integration of deep learning techniques in the software quality assurance process. Contributions will focus on innovative approaches to automate testing and improve defect detection rates.

Track 04

Anomaly Detection in Software Systems

This session addresses the challenges and solutions related to anomaly detection in software systems. Participants will discuss novel algorithms and frameworks that enhance system monitoring and reliability.

Track 05

Feature Extraction and Data Analysis in Software Engineering

This track highlights the importance of feature extraction and data analysis in improving software engineering processes. Presenters will share methodologies that leverage data to inform decision-making and optimize workflows.

Track 06

Continuous Integration and Version Control Strategies

This session focuses on the role of continuous integration and version control in modern software development. Attendees will explore best practices and tools that facilitate collaboration and streamline the development lifecycle.

Track 07

Software Architecture and Design Patterns

This track investigates contemporary software architecture and design patterns that support scalable and maintainable systems. Researchers will present innovative architectural solutions that address current industry challenges.

Track 08

Digital Twin Technology in Software Engineering

This session explores the concept of digital twins and their application in software engineering. Contributions will discuss how digital twins can enhance system modeling, simulation, and performance monitoring.

Track 09

Workflow Automation in Software Development

This track examines the impact of workflow automation on software development efficiency. Presentations will cover tools and techniques that streamline processes and reduce manual intervention.

Track 10

Industrial Applications of Software Engineering Techniques

This session showcases industrial applications of advanced software engineering techniques across various sectors. Participants will share insights on how these techniques drive innovation and process optimization in real-world scenarios.

Track 11

Model Evaluation and Performance Metrics in Software Engineering

This track focuses on the critical aspects of model evaluation and performance metrics in software engineering. Researchers will discuss methodologies for assessing the effectiveness of software solutions and ensuring quality outcomes.