Assistant Professor

Dr. B Ramachandra Reddy

Department of Computer Science and Engineering

Interests

  1. Software Maintenance
  2. Software Reliability
  3. Machine Learning

Education

2004

Narayana Engineering College, JNTU HYD
India
Bachelors

2006

USIT, Guru Gobind Singh Indraprastha University
India
Masters

2017

PDPM Indian Institute of Information Technology Design & Manufacturing
India
Ph.D.

Professional Service

  • 02-11-2017 to 31-12-2019, Associate Professor | MITS, Madanapalle.
  • 21-07-2014 to 31-10-2017, Temporary Faculty | NIT, Raipur.
  • 03-08-2009 to 20-07-2014, Teaching Assistant | PDPM IIITDM, Jabalpur.
  • 14-05-2007 to 02-08-2009, Lecturer | Amity University, Noida.

Research Interest

  • Predict the software faults (Reliability), Stability, Maintainability using software design metrics.
  • Apply cross project analysis to predict the software maintenance.
  • Apply Ensemble Methods to predict the software maintenance.
  • Apply Feature Selection to predict the software maintenance.

Awards & Fellowships

  • 2009 – 2014 – Ph.D. Fellowship, Ministry of Human Resource Development
  • 2004 – 2006 – M.Tech. Fellowship, Ministry of Human Resource Development
  • 2004 – GATE (All India Rank: 342, Percentile: 96.37)

Memberships

  • ACM

List of Publications

Journal Publications
  • Knowledge discovery in medical and biological datasets by integration of Relief-F and correlation feature selection techniques- AK Shukla , SK Pippal, S Gupta S, BR Reddy, D Tripathi, Journal of Intelligent & Fuzzy Systems Preprint, 1-12 (2020).
  • Performance of Maintainability Index prediction models: a feature selection based study- BR Reddy, A Ojha- Evolving Systems 10 (2), 179-204 (2019).
  • How effective are maintainability metrics in estimating maintenance efforts? An empirical study- BR Reddy, A Ojha- International Journal of System Assurance Engineering and Management 10 (5), 984-1001 (2019).
  • A study on metaheuristics approaches for gene selection in microarray data: algorithms, applications and open challenges- A.K Shukla,., D Tripathi,, BR Reddy, and D Chandramohan - Evolutionary Intelligence, 1-21 (2019).
Book chapters
  • 1. Multi-Layer Hybrid Credit Scoring Model Based on Feature Selection, Ensemble Learning, and Ensemble Classifier- D Tripathi, AK Shukla, BR Reddy, GS Bopche - InHandbook of Research on Emerging Trends and Applications of Machine Learning, IGI Global. 444-460 (2020).
Conferences
  • Survey on Classification and Feature Selection Approaches for Disease Diagnosis – D Tripathi, I Manoj, GR Prasant,K Neeraja, MK Varma, BR Reddy- InEmerging Research in Data Engineering Systems and Computer Communications, Springer -567-576 (2020).
  • Differential Attack Graph-Based Approach for Assessing Change in the Network Attack Surface – GS Bopche, GN Rai, BR Reddy, BM Mehtre - InInternational Conference on Information Systems Security, Springer - 324-344 (2020).
  • Discrimination of Inheritance Patterns: An Improved Metric - BR Reddy, A Ojha- In proceedings of International Conference on Cloud Computing, Data Science & Engineering (Confluence), IEEE, 653-657 (2018).
  • Software Maintainability Estimation Made Easy: A Comprehensive Tool COIN- BR Reddy, S Khurana and A Ojha- In Proceedings of the Sixth International Conference on Computer and Communication Technology (ICCCT’15), ACM, 69-72 (2015).
  • Discrimination of Class Inheritance Hierarchies – A Vector Approach- BR Reddy, A Ojha- In proceedings of Springer on New Perspectives in Information Systems and Technologies (springer), Vol. 2, 2014, pp. 121-130 (2014).
  • ClassIN: A Class Inheritance Metric Tool- BR Reddy, A Ojha- In proceedings of Springer on New Perspectives in Information Systems and Technologies (springer), Vol. 2, 113-119 (2014).

Contact Details

  • E-mail id:  ramachandrareddy.b@srmap.edu.in
  • Mobile No.:
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