FDP on “Application of Machine Learning to Software Engineering”
The School of Computer Engineering, KIIT Deemed to be University in association with Department of Computer Science and Engineering, NIT Warangal is organizing a 10-day Online Faculty Development Program (FDP) on “Application of Machine Learning to Software Engineering (AMLSE)” from November 1 – 12, 2021. More than fifty participants from different institutions around the country have registered in this FDP. It will explore many emerging research topics related to Software Engineering and ML, such as Software Specification, Reliability Prediction, Cost & Effort Estimation, Fault Prediction & Localization, Software Testing, Automatic Test Case Generation, Regression Testing, and different Machine Learning Techniques. It will also provide a platform for the faculties and research scholars to enrich their technical and research knowledge.
The FDP was inaugurated on 1st November by Prof. Durga Prashad Mohapatra, Professor & Head – CSE Department, NIT Rourkela and Prof. P. Radha Krishna, Professor & Head – CSE Department, NIT Warangal in the presence of eminent professors from IITs, NITs and other prominent organizations. In his inaugural address, Prof. P. Radha Krishna said that the subject of the FDP is very much suited for the current scenario for using machine learning in developing good quality software. He also mentioned his long association with KIIT-DU. Prof. Durga Prashad Mohapatra congratulated the coordinators for organizing the FDP on such a relevant and interesting topic. He stressed the increasing importance of Machine Learning in all the fields of science and engineering. Dr. Jagannath Singh, Coordinator of the FDP & Assistant Professor, KIIT School of Computer Engineering also spoke on the occasion. The vote of thanks at the inaugural session was proposed by Dr. Sangharatna Godboley, Assistant Professor, Department of CSE, NIT Warangal.
The first talk of the FDP was delivered by Prof. D. P. Mohapatra on “Application of Machine Learning in SDLC”. He highlighted the related work in applying machine learning to Software Requirement Specification, Design, Coding, Testing and Maintenance phases. He presented many case studies to explain the importance of ML in all the phases of SDLC. Dr. Anup Nandi, Assistant Professor, Department of CSE, NIT Rourkela discussed the basics of Machine Learning. Fundamentally, each ML algorithm is governed by some mathematical model, he explained. In his talk, Dr. Sangharatna Godboley, Assistant Professor, Department of CSE, NIT Warangal gave an overview of different phases and operations of software development.