Santosh Singh Rathore



Assistant Professor


Software Engineering, Specific interests include Software Quality Assurance, Software Fault Prediction, Empirical Software Engineering, Object-Oriented Software Development, Requirement Engineering and Object-Oriented Metrics


Contact no.: 7409850327, 9407203020


Santosh Singh Rathore is currently working as an assistant professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology. He received his PhD from the Computer Science and Engineering Department of Indian Institute of Technology (IIT) Roorkee (India) and his master’s degree (M.Tech) from Indian Institute of Information Technology Design and Manufacturing (IIITDM) Jabalpur (India). His research interests are Software Fault Prediction, Software Quality Assurance, Empirical Software Engineering, Object-Oriented Software Development and Object Oriented Metrics. He has published research papers in various referred journals and international conferences.

Publications and other Research Outputs

SCI: 05, Non-SCI: 00

Awards and Honours

  • Awarded with SIGSE Travel grant to attend APSEC - 2012 (19th Asia Pacific Software Engineering Conference) 2012 Conference held at Hong Kong, Dec 04-07, 2012.
  • Awarded with SIGSOFT Travel and Registration Grant to attend ACM SIGSOFT - ISEC (5th India Software Engineering Conference) 2012 held at Indian Institute of Technology, Kanpur, India, Feb 22-25, 2012.
  • Awarded with the IIITDMJ D & M proficiency medal Prize for the Best Thesis in Computer Science & Engineering Discipline in the Postgraduate Program (M.Tech.), 2012.
  • Secure 1st rank in CSE/IT department (2nd in college) in B.Tech, 2010.
  • Visited Japan under the JENESYS program (Japan-Indo Collaboration) in May 2012.
  • Reviewer of various international Journals.

Description of Research Interests

My research interest lies in the various areas of software engineering with the specific interest in software fault prediction and software quality measurement/prediction. My work focuses on the use of soft computing techniques for software fault prediction and performing empirical analysis to evaluate the software quality.