Machine Learning Applications in Software Engineering @ E & ICT Academy, NIT Warangal

Participants Information

Participants: 40
Speakers:06
Female participants:17
Male participants:23
Participants from SC/ST category:08
Research Scholars:01

Lab Sessions

  • Predictin and Estimation
  • Software Reliability Engineering Practices
  • Software Reliability Engineering Practices(Case Study)

Topics Covered

  • Introduction to Software Engineering
  • AI in Software Engineering
  • Overview of Software Engineering
  • Overview of Machine Learning, Learning approaches
  • Software Engineering tasks for ML application
  • ML applications in Estimation
  • ML applications in Prediction
  • ML applications in Reuse and Requirement Acquisition
  • Software Reliability & Safety
  • Software Reliability & Safety Assurance- Concept and Applications
  • Python Programming (Prediction of Software development Effort)
  • Python Programming (Classification of faultprone software modules)
  • ML based QoS Analysis tool for Reconfigurable Service- Oriented Systems
  • Application of Genetic Algorithms in Software Testing

Highlights

List of Speakers

Dr. S. Ravichandra, Associate Professor, NIT Warangal


Dr. Manjubala Bisi, Assistant Professor, NIT Warangal


Dr. Mettu Srinivas, Assistant Professor, NIT Warangal


Dr. Neeraj Kumar Goyal, Associate Professor, IIT Kharagpur


Dr. Ajeet Kumar, L & T, Bangalore


Dr. Srinivas Padmanabhabhuni, Chief Mentor, Tarah.Ai, Bangalore




Feedback Summary

  • Expertised resource persons from academics and industry.


  • FDP was effectively scheduled and the time was used at the best.


    • Suggestions from Participants

  • Required more hands on session.