Hybrid Conferencee

International Conference on Big Data Analytics in Software Engineering (ICBDASE - 26)

3rd - 4th September 2026 | Frankfurt, Germany

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Frankfurt. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Frankfurt event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Frankfurt conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Frankfurt, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Frankfurt."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICBDASE aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Software Engineering, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Big data technologies in software engineering
02
Data visualization techniques for analytics
03
Machine learning applications in big data
04
Challenges in big data processing
05
Real-time analytics in software systems
06
Data governance and compliance issues
07
Big data architecture patterns
08
Scalable storage solutions for big data
09
Data quality management in analytics
10
Case studies of big data projects
11
Impact of big data on decision making
12
Big data frameworks and tools
13
Integrating big data with existing systems
14
Ethical considerations in big data usage
15
Big data analytics for software testing
16
Predictive analytics in software engineering
17
Big data in cloud computing environments
18
Future trends in big data analytics
19
Big data and artificial intelligence synergy
20
Big data challenges in software development