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Publications

  • Paramvir Singh, Matthias Galster and Karanpreet Singh (2018): How do secondary studies in software engineering report automated searches? a preliminary analysis, 22nd International Conference on Evaluation and Assessment in Software Engineering (EASE), Christchurch, New Zealand. [Access Preprint]
  • Karanpreet Singh, Paramvir Singh and Krishan Saluja (2018): User behavior analytics-based classification of application layer HTTP-GET flood attacks, Journal of Network and Computer Applications, Elsevier, In Press. [Access Article]
  • Shruti Aggarwal and Paramvir Singh (2018): Cuckoo, Bat and Krill Herd based k-means++ clustering algorithms, Cluster Computing Journal, Springer.[Access Article]
  • Saurabh Tiwari, Deepti Ameta, Paramvir Singh and Ashish Sureka (2018): Teaching Requirements Engineering Concepts using Case-Based Learning: A Case Study, Workshop on Software Engineering Education for Millennials (SEEM) collocated with 40th IEEE International Conference on Software Engineering (ICSE 2018), Gothenberg, Sweden. [Access Article]
  • Shruti Aggarwal and Paramvir Singh (2018): Software fault prediction using hybrid swarm intelligent Cuckoo and Bat based k-means++ clustering technique, International Journal of Advanced Intelligence Paradigms, Inderscience.(Accepted)
  • Saurabh Tiwari, Veena Saini, Paramvir Singh and Ashish Sureka (2018): A case study on the application of case-based learning in software testing, 11th Innovations in Software Engineering Conference (ISEC), Hyderabad, India. [Access Article]
  • Navdeep Singh and Paramvir Singh (2017): How Do Code Refactoring Activities Impact Software Developers’ Sentiments? – An Empirical Investigation into GitHub Commits, 24th Asia-Pacific Software Engineering Conference (APSEC), to be held at Nanjing, China. [Access Article Preprint]
  • Paramvir Singh and Karanpreet Singh (2017): Exploring Automatic Search in Digital Libraries – A Caution Guide for Systematic Reviewers, 21st International Conference on Evaluation and Assessment in Software Engineering (EASE), Karlskrona, Sweden. [Access Article Preprint] [Access Article]
  • Veena Saini, Paramvir Singh and Ashish Sureka (2017): SEABED: An Open-Source Software Engineering Case Based Learning Database, 41st IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC 2017), Turin, Italy. [Access Article Preprint] [Access Article]
  • Karanpreet Singh, Paramvir Singh and Krishan Saluja (2017): Application Layer HTTP-GET Flood DDoS Attacks: Research Landscape and Challenges, Computers & Security Journal, Elsevier, vol. 65, pp. 344-372. [Access Article]
  • Sarishty Gupta and Paramvir Singh (2017): Comprehending Scenario-level Software Evolution using Calling Context Trees, 16th International Conference on Information Technology (ICIT), to be held in Orissa, India. [Access Preprint]
  • Amit Kumar dogra, Harkomal Singh and Paramvir Singh (2017): Execution Trace Streaming based Real Time Collection of Dynamic Metrics using PaaS, 8th Workshop on Emerging Trends in Software Metrics (WETSoM) collocated with 39th IEEE International Conference on Software Engineering (ICSE 2017), Buenos Aires, Argentina from May 20-28, 2017. [Access Article Preprint] [Access Article]
  • Prita and Paramvir Singh (2017): Comparative performance analysis of calling context profiling data structures, International Journal of Systems Assurance and Management (Springer), vol. 8, no. 1, pp. 135-150. [Access Article]
  • C M Kamalpriya and Paramvir Singh (2017): Enhancing Program Dependency Graph based Clone Detection using Approximate Subgraph Matching, International Workshop on Software Clones (IWSC) collocated with 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2017), Klagenfurt, Austria from Feb 21-24, 2017. [Access Article Preprint] [Access Article]
  • Arvind Mahindru and Paramvir Singh (2017): Dynamic Permissions based Android Malware Detection using Machine Learning Techniques, 10th Innovations in (formerly, India) Software Engineering Conference (ISEC 2017), Jaipur, India. [Access Article]
  • Aabha Choudhary and Paramvir Singh (2016): Minimizing Refactoring Effort through Prioritization of Classes based on Historical, Architectural and Code Smell Information, International Workshop on Technical Debt Analytics (TDA) collocated with Asia Pacific Software Engineering Conference (APSEC-2016), Hamilton, New Zealand, Dec 6 – 9, 2016. [Access Article Preprint] [Access Article]
  • Garima Dhaka and Paramvir Singh (2016): An Empirical Investigation into Code Smells Elimination Sequences for Energy Efficient Software, 23rd Asia Pacific Software Engineering Conference (APSEC), Hamilton, New Zealand, Dec 6 – 9, 2016. [Access Article Preprint] [Access Article] [Access Poster]
  • Karanpreet Singh, Paramvir Singh and Krishan Kumar (2016): A systematic review of IP traceback schemes for denial of service attacks, Computers and Security (Elsevier, SCI-Indexed), pp. 111-139, vol. 56. [Access Article]
  • Gurpreet Kaur and Paramvir Singh (2016): Validating Software Evolution of Agile Projects using Lehman’s Laws, International Conference on Computational Techniques in Information and Communication Technology (IEEE), IPU, New Delhi, India. [Access Article]
  • Monika and Paramvir Singh (2016): Modularizing software systems using PSO optimized hierarchical clustering, International Conference on Computational Techniques in Information and Communication Technology (IEEE), IPU, New Delhi, India. [Access Article]
  • Karanpreet Singh, Paramvir Singh and Krishan Kumar (2016): Impact analysis of application layer DDoS attacks: A simulation study, International Journal of Intelligent Engineering Informatics (Inderscience).[Access Article]
  • Harpreet Singh and Paramvir Singh (2016): Enhancing AES using Novel Block Key Generation Algorithm and Key Dependent S-boxes, International Journal of Cyber-Security and Digital Forensics, 30-45, vol. 5, no. 1. [Access Article]
  • Shallu Sarvari, Paramvir Singh and Geeta Sikka (2015), Efficient and scalable collection of dynamic metrics using map-reduce, 22nd Asia Pacific Software Engineering Conference (APSEC) (IEEE), New Delhi, India.[Access Article]
  • Kawal Jeet, Renu Dhir and Paramvir Singh (2015): Hybrid Black Hole Algorithm for Bi-Criteria Job Scheduling on Parallel Machines, International Journal of Intelligent Systems and Applications (ISSN: 2074-9058), MECS Press, vol. 4, pp. 1-17. [Access Article]
  • Rani Geetika and Paramvir Singh (2014): Empirical investigation into static and dynamic coupling metrics, ACM SIGSOFT Software Engineering Notes, pp. 1-8, vol. 39, no. 01. [Access Article]
  • Rani Geetika and Paramvir Singh (2014): Dynamic coupling metrics for object oriented software systems: A Survey, ACM SIGSOFT Software Engineering Notes, pp. 1-8, vol. 39, no. 02. [Access Article]
  • Shelza Kapur and Paramvir Singh (2014): Performance analysis of DCT based digital image watermarking using color spaces effects, International Journal of Computer Science and Engineering Technology, vol. 05, no. 06. [Access Article]
  • Paramvir Singh and Hardeep Singh (2010): Class-level dynamic coupling metrics for static and dynamic analysis of object-oriented systems, International Journal of Information and Telecommunications Technology, vol. 01, no. 01.
  • Paramvir Singh and Hardeep Singh (2010), Dynamic inheritance metrics for object-oriented systems, National Conference on Software Engineering(NCSOFT’10), Cochin University of Science and Technology, Cochin
  • Paramvir Singh and Hardeep Singh (2009), Runtime coupling metrics for object-oriented software systems, Apeejay Journal of Management and Technology, vol. 04, no. 01
  • Paramvir Singh and Hardeep Singh (2008): DynaMetrics: A runtime metric-based analysis tool for object-oriented software systems, ACM SIGSOFT Software Engineering Notes, pp. 1-6, vol. 33, no. 06.[Access Article]
  • Paramvir Singh, Geeta Sikka and Hardeep Singh (2008). Overview of runtime coupling and cohesion metrics for object-oriented software systems, In Balram Dogra, Kulwant Kaur and Deepak Kaushik, Enterprise Information Systems in 21st Century, pp. 87-99, Deep and Deep Publications Pvt. Ltd.
  • Paramvir Singh (2008). Towards defining semi-markov dynamic conditional random fields (semi-DCRFs). In Balram Dogra, Kulwant Kaur and Deepak Kaushik, Enterprise Information Systems in 21st Century, pp. 371-377, Deep and Deep Publications Pvt. Ltd.
  • Paramvir Singh and Hardeep Singh (2007), Runtime coupling metrics at various levels of abstraction, Computer Society of India (CSI) Journal, vol. 37, no. 03.
  • Paramvir Singh (2006), Theoretical comparison of probabilistic models applied to part-of-speech tagging, International Conference on Information Science Technology and Management (CISTM), CII, Chandigarh, India
  • Paramvir Singh and Shailendra Singh (2005), Probabilistic models for segmentation and labeling tasks, Frontiers in Applied and Computational Mathematics (FACM’05), Thapar Institute of Engineering and Technology, Patiala.

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