Santosh Singh Rathore

About

He is currently working as an assistant professor in ABV-IIITM Gwalior. He has completed his Ph.D. from the Department of Computer Science and Engineering, Indian Institute of Technology Roorkee India in the year 2017. He has received his M.Tech degree from IIITDM Jabalpur in the year 2012 and B.Tech. degree in Computer Science in the year 2010 from RGPV University, Bhopal, India. His special interest is in Software Quality Assurance. His major research work is in Software Fault Prediction, Software Quality Metrics Analysis, Empirical Software Engineering, and Software Testing. Along with this he also works on Software UML Models Transformation and on proposing and establishing the methods of specifying and analyzing the functional requirements of a software system.

Employment

• Atal Bihari Vajpayee Indian Institute of Information Technology and Management

Education

• Indian Institute of Technology Roorkee Computer Laboratory PhD
  2013 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (74)

• Systematic literature review on software code smell detection approaches
  Journal of Systems and Software 2026 DOI: 10.1016/j.jss.2026.112784
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• An Analysis of Student Perceptions and Learning Impact of Large Language Models in Requirements Engineering Education
  2026 DOI: 10.1145/3803437.3805784
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• Traversal-Aware Structural Fusion of AST and CFG for Code Representation Learning in Software Fault and Code Smell Detection
  IEEE Transactions on Reliability 2026 DOI: 10.1109/TR.2026.3720242
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• Multi-modal Heterogeneous Graph Attention Networks with Dynamic Edge Learning and Cross-Attention Fusion for Fake News Detection
  2026 DOI: 10.1007/978-3-032-18480-1_58
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• QUERYGEN: A Tool for SQL Query Generation from Natural Language using Prompt Engineering
  2026 DOI: 10.1145/3796563.3796577
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• A Human Values Perspective on Playability Issues of Mobile Games
  International Journal of Human–Computer Interaction 2026 DOI: 10.1080/10447318.2025.2554300
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• COSTAR: Software Code Smell Detection Through Tree-Based Abstract Representation
  IEEE Transactions on Reliability 2026 DOI: 10.1109/TR.2025.3648404
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• Seventh Workshop on Emerging Software Engineering Education(WESEE 2025)
  2025 DOI: 10.1145/3717383.3721236
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• ATE-FS: An Average Treatment Effect-based Feature Selection Technique for Software Fault Prediction
  ACM Transactions on Intelligent Systems and Technology 2025 DOI: 10.1145/3716857
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• ME-SFP: A Mixture-of-Experts-Based Approach for Software Fault Prediction
  IEEE Transactions on Reliability 2024 DOI: 10.1109/TR.2023.3295012
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