Registration summary
ConferenceICBDASE
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICBDASE conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Big Data Analytics Techniques for Software Engineering +
This track focuses on innovative techniques and methodologies for applying big data analytics in software engineering. Contributions may include novel algorithms, frameworks, and tools that enhance the analysis of large-scale software data.
02 Large-Scale Data Processing in Software Development +
This session explores the challenges and solutions associated with processing large-scale data in software development environments. Papers should address issues such as scalability, efficiency, and integration of big data technologies.
03 Software Log Analysis and Insights +
This track emphasizes the importance of software log analysis in understanding system behavior and performance. Submissions should present methodologies that leverage big data techniques to extract actionable insights from software logs.
04 Hadoop and Spark in Software Analytics +
This session invites contributions that explore the use of Hadoop and Spark frameworks in software analytics. Papers should discuss case studies, performance evaluations, and best practices for utilizing these technologies in software engineering.
05 Predictive Modeling in Software Engineering +
This track focuses on the application of predictive modeling techniques to anticipate software behavior and quality. Submissions should highlight innovative approaches that utilize big data to improve software development outcomes.
06 Machine Learning Applications for Big Data in Software +
This session explores the intersection of machine learning and big data within the software engineering domain. Contributions should showcase how machine learning techniques can enhance software analytics and decision-making processes.
07 Big Data Visualization Techniques for Software Insights +
This track addresses the critical role of data visualization in interpreting big data analytics results in software engineering. Papers should present novel visualization techniques that facilitate better understanding and communication of software data.
08 Real-Time Monitoring and Analytics in Software Systems +
This session focuses on real-time monitoring and analytics of software systems using big data technologies. Contributions should discuss frameworks, tools, and methodologies that enable real-time insights and decision-making.
09 Data-Driven Decision Support in Software Engineering +
This track emphasizes the role of big data in supporting data-driven decision-making processes in software engineering. Papers should explore frameworks and case studies that illustrate effective decision support systems.
10 Anomaly Detection in Software Systems +
This session invites contributions on techniques for anomaly detection in software systems using big data analytics. Submissions should focus on methodologies that enhance the identification and resolution of software anomalies.
11 Cloud-Based Solutions for Big Data in Software Engineering +
This track explores cloud-based solutions that facilitate big data processing and analytics in software engineering. Papers should discuss the benefits, challenges, and innovations associated with deploying big data solutions in the cloud.
