Dr. Santosh Singh Rathore

Dr. Santosh Singh Rathore

Designation: Assistant Professor

Department: Computer Science

Honour: Ph.D. (IIT Roorkee)

Area of Interest: 1. Software Engineering Specific interests include Software Quality Assurance, Software Fault Prediction, Empirical Software Engineering, Object-Oriented Software Development, Requirement Engineering 2. Machine Learning, Data Mining 3. Web Services

Office Phone : +91-751-2496353

Residence Phone: +91-7409850327

Address: F Block -214, ABV-IIITM, Morena Link Road, Gwalior-474015 (M.P.)

Email: santoshs@iiitm.ac.in, santosh.srathore@gmail.com

Website: https://sites.google.com/site/santoshiiitmdj/home?

Biography

Professional Experience

  1. Assistant Professor, Indian Institute of Information Technology and Management, Gwalior, March. 2019 to present.
  2. Assistant Professor, Computer Science and Engineering Department, NIT Jalandhar, India, Jan 2018- March 2019
  3. Assistant Professor, Computer Science and Engineering Department, Thapar University, India, July 2017-Jan 2018

 

Academic Credentials

Ph.D.: Indian Institute of Technology Roorkee, 2017.

M.Tech.: Indian Institute of Information Technology Design and Manufacturing Jabalpur,  2013.

B.E.: R.G.P.V. University, Bhopal, 2010.

 

Book-

  1. Santosh Singh Rathore and Sandeep Kumar, "Fault Prediction Modeling for the Prediction of Number of Software Faults", SpringerBrief in Computer Science, Springer Singapore, DOI: https://doi.org/10.1007/978-981-13-7131-8.
  2. Sandeep Kumar and Santosh Singh Rathore, "Software Fault Prediction; A Road Map", SpringerBrief in Computer Science, Springer Singapore, DOI: 10.1007/978-981-10-8715-8.

 

Referred Journals -

  1. Santosh S. Rathore and Sandeep Kumar, " An Approach for the Prediction of Number of Software Faults Based on the Dynamic Selection of Learning Techniques", In IEEE Transaction on Reliability, 2018, DOI: 1109/TR.2018.2864206 (Early Access).
  2. Santosh S. Rathore and Sandeep Kumar, "A Study on Software Fault Prediction Techniques", In AI review, Springer, 2017, DOI https://doi.org/10.1007/s10462-017-9563-5.
  3. Santosh S. Rathore and Sandeep Kumar, "Linear and non-linear heterogeneous ensemble methods to predict the number of faults in software systems," In Knowledge-Based Systems, Elsevier, vol. 119, pp. 232-256, 2017.
  4. Santosh S. Rathore and Sandeep Kumar, "Towards an Ensemble Based System for Predicting the Number of Software Faults," In Expert Systems with Applications, Elsevier, vol. 82, pp. 357-382, 2017.
  5. Santosh S. Rathore and Sandeep Kumar, "An empirical study of some software fault prediction techniques for the number of faults prediction," In Soft Computing, vol. 21, no. 24, pp. 7417-7434, Springer, 2016.
  6. Santosh S. Rathore and Sandeep Kumar, "A decision tree logic based recommendation system to select software fault prediction techniques," In Computing, vol. 99, no. 3, pp. 255-285, Springer, 2016.

 

Referred Conferences -

  1. Saurabh Tiwari, Santosh Rathore, Sudhanshu Gupta, Vaibhav Gagote and Atul Gupta. Analysis of Use Case Requirements using SFTA and SFMEA Techniques. In proceeding of 17th International Conference on Engineering of Complex Computer Systems (ICECCS), 2012, vol., no., pp.29-38, Paris - France, 18-20 July 2012. DOI: 10.1109/ICECCS.2012.10.
  2. Santosh Singh Rathore and Atul Gupta. Validating the Effectiveness of Object Oriented Metrics over Multiple Releases for Predicting Fault Proneness. In proceeding of 19th Asia Pacific Software Engineering Conference (APSEC'12), Hongkong, pp 270-275, 4-7 Dec 2012. DOI: 10.1109/APSEC.2012.148.
  3. Saurabh Tiwari, Santosh Singh Rathore, Abhinav Singh, Abhijeet Singh, and Atul Gupta. An Approach to Generate Actor-Oriented Activity Charts from Use Case Requirements. In proceeding of 19th Asia Pacific Software Engineering Conference (APSEC'12), Hongkong, pp 350-355, 4-7 Dec 2012 DOI: 10.1109/APSEC.2012.149.
  4. Santosh Singh Rathore, and Atul Gupta. Investigating Object-Oriented Design Metrics to Predict Fault-Proneness of Software Modules. In proceeding of 6th International Conference on Software Engineering (CONSEG'12), Indore-India, 5-7 Sep 2012. DOI: 10.1109/CONSEG.2012.6349484.
  5. Saurabh Tiwari, Santosh Singh Rathore, and Atul Gupta. Selecting Requirement Elicitation Techniques for Software Projects. In proceeding of 6th International Conference on Software Engineering (CONSEG'12), Indore-India, 5-7 Sep 2012.
  6. Santosh Singh Rathore, and Atul Gupta. A Comparative Study of Feature-Ranking and Feature-Subset Selection Techniques for Improved Fault Prediction. In proceeding of 7th India Software Engineering Conference (ISEC'14), Chennai-India, 19-21 Feb 2014. DOI: http://dx.doi.org/10.1145/2590748.2590755 .
  7. Santosh Singh Rathore, and Sandeep Kumar. Predicting Number of Faults in Software System using Genetic Programming. In Proceedings of 2015 International Conference on Soft Computing and Software Engineering (SCSE'15), University of California, Berkeley, USA. DOI:10.1016/j.procs.2015.08.454.
  8. Santosh Singh Rathore, and Sandeep Kumar. A Decision Tree Regression based Approach for the Number of Software Faults Prediction. In SIGSOFT Software Engineering Notes, vol. 41, no. 1 (February 2016), pages 1-6.
  9. Santosh Singh Rathore, and Sandeep Kumar. Ensemble Methods for the Prediction of Number of Faults: A Study on Eclipse Project. In proceeding of ICIIS 2016 conference, held at IIT Roorkee, Dec 3-4, 2016.
  10. Saurabh Tiwari and Santosh Singh Rathore. Coupling and Cohesion Metrics for Object-Oriented Sofware: A Systematic Mapping Study. In proceeding of the 11th Innovation in Software Engineering Conference(ISEC), 2018, India.

हमसे जुडे

एबीवी-भारतीय सूचना प्रौद्योगिकी और प्रबंधन संस्थान ग्वालियर, मोरेना लिंक रोड, ग्वालियर, मध्य प्रदेश, भारत, 474015

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