B.Tech | M.Tech | BCA | MCA
Apply Now
B.Com | M.Com | BBA | MBA
Apply Now
LLB | LLM | B.Arch | M.Arch
Apply Now
BJMC | MJMC | B.Design | M.Design
Apply Now
Allied Health Science | Pharmacy | Basic Sciences
Apply Now
Education | Agriculture | Social Sciences | Nursing
Apply Now
icon

Dr. Anjali

Assistant Professor, Computer Science and Engineering (CSE)

anjali1@sharda.ac.in

About

Dr. Anjali is an Assistant Professor in the Department of Computer Science and Engineering at  School of Engineering and Technology, Sharda University, Greater Noida. She received her Ph.D. degree from Jaypee Institute of Information Technology, Noida. She has done her MTech and BTech in Computer Science and Engineering from Jaypee Institute of Information Technology, Noida and Gautam Buddh Technical University respectively. She possesses 7 years of teaching and research experience. Previously, she worked with Amity University, Noida and The NorthCap University, Gurugram. Her research interests are in the areas of Mining Software Repositories, Text Analytics and Machine Learning. She has published several research papers in various international conferences and journals of repute.

Experience
  • 7 years
Qualification
  • Ph.D
Award & Recognition

  • Received SIGSOFT Travel Grant for attending and presenting paper at International Conference on Software Engineering (ICSE), 2017 held in Buenos Aires, Argentina.

Research

  • Anjali Goyal, Neetu Sardana, “IM-NRFixer: A Hybrid Approach to Alleviate Class-Imbalance Problem for Predicting the Fixability of Non-Reproducible Bugs”, In Journal of Software: Evolution and Process, Wiley, e2290, 2020. (Indexed in Scopus, SCIE, Impact Factor: 1.305)
  • Anjali Goyal, Neetu Sardana, “Performance Assessment of Bug Fixing Process in Open Source Repositories”, In Procedia Computer Science, Elsevier, vol. 167, pp. 2070-2079, 2020. (Indexed in Scopus)
  • Anjali Goyal, Neetu Sardana, “An Empirical Study of Non-Reproducible Bugs”, In International Jour- nal of System Assurance Engineering and Management, Springer, ISSN: 0976-4348, vol. 10 (5), pp. 1186-1220, 2019. (Indexed in Scopus)
  • AnjaliGoyal,NeetuSardana,“OptimizingBugReportAssignmentUsingMulti-CriteriaDecisionMak- ing Techniques”, In International Journal of Intelligent Decision Technologies, IOS Press, vol. 11 (3), pp. 307-320, 2017. (Indexed in Scopus)
  • Anjali Goyal, Neetu Sardana, “NRFixer: Sentiment Based Model for Predicting the Fixability of Non- Reproducible Bugs”, In e-Informatica Software Engineering Journal, vol. 11 (1), pp. 109-122, 2017. (Indexed in Scopus)
  • Anjali Goyal, Neetu Sardana, “Machine Learning or Information Retrieval Techniques for Bug Triag- ing: Which is better”, In e-Informatica Software Engineering Journal, vol. 11 (1), pp. 123-147, 2017. (Indexed in Scopus)
  • Anjali Goyal, Neetu Sardana, “Analytical Study on Bug Triaging Practices”, In International Journal of Open Source Software and Processes (IJOSSP), IGI Global, vol. 7 (2), pp. 20-42, 2016. (Indexed in Scopus)

Area of Interest

  • Mining Software Repositories
  • Natural Language Processing
  • Software Analytics