Ankita Jain Bansal

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  • Profile
  • QualificationsPh. D. pursuing, M. E., B. Tech
  • DesignationAssistant Professor
  • DivisionInformation Technology


Ankita Bansal is an assistant professor at the Department of Information Technology, Netaji  Subhas Institute of Technology, Delhi University, India. She received her master’s degree in computer technology and applications from Delhi Technological University (formerly known as Delhi College of Engineering), Delhi, India. She is pursuing Ph.D. from the same university. Her research interests are software quality, software metrics and statistical and machine learning models. She has published several papers in International journals and conferences.

Areas of Interest

Software quality and metrics, Software Change Prediction and Assessment

  • Papers Accepted/Published in International Journals
  1. Malhotra R., Bansal A.: ‘Fault Prediction Considering Threshold Effects of Object Oriented Metrics’, Expert Systems (impact factor: 0.769)
  2. Malhotra R., Bansal A.: ‘Investigation on Feasibility of Machine learning Algorithms for Predicting Software Change Using Open Source Software’, International Journal of Reliability, Quality and Safety Engineering
  3.  Malhotra R., Jain A.: ‘Software Fault Prediction for Object Oriented Systems: A Literature Review’, ACM SIGSOFT software Engineering Notes, vol. 36, No. 5, Sept 2011
  4. Malhotra R., Jain A.: ‘Fault Prediction Using Statistical and Machine Learning Methods for Improving Software Quality’, Journal of Information Processing Systems, Korea, vol. 8, No. 2, June 2012
  5. Malhotra R., Bansal A.: ‘Quantitative Assessment of Risks Considering Threshold Effects of Object Oriented Metrics using Open Source Software’, Software Quality Professional Journal, ASQ, vol. 14 , Issue 4, September 2012
  6. Malhotra R., Bansal A.: ‘Software Change Proneness Prediction: A Literature Review’, International Journal of Computer applications in Technology (IJCAT) of Inderscience Publishers 
  7. Malhotra R., Jain A.: ‘Software Effort Prediction using Statistical and Machine Learning Methods’, International Journal of Advanced Computer Science and Application, SAI, vol. 2, No. 1, Jan 2011


  • Papers Accepted/Published in International Conferences 
  1. Malhotra R., Bansal A.: ‘Improving Software Quality by Predicting Change Proneness in an Open Source Software’, International Conference on Optimization Modeling and Applications (OPTIMA-2012) (Delhi University)
  2. Malhotra R., Bansal A.: ‘Cross Project Change Prediction Using Open Source Projects’, 3rd International Conference on Advances in Computing, Communications and Informatics, IEEE
  3.  Malhotra R., Bansal A.: ‘Prediction of change prone classes using machine learning methods and statistical methods’, International conference (Venice, Italy), Software and Emerging Technologies for Education, Culture, Entertainment, and Commerce (SETECEC 2012): New Directions in Multimedia Mobile Computing, Social Networks, Human-Computer Interaction and Communicability