Kaushik Madala

Orcid: 0000-0003-2437-0498

According to our database1, Kaushik Madala authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
ADSA - Association-Driven Safety Analysis to Expose Unknown Safety Issues.
IEEE Trans. Dependable Secur. Comput., 2024

2023
Identifying safety issues from energy conservation requirements.
J. Softw. Evol. Process., July, 2023

2021
Model elements identification using neural networks: a comprehensive study.
Requir. Eng., 2021

A Dependency-based Combinatorial Approach for Reducing Effort for Scenario-based Safety Analysis of Autonomous Vehicles.
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021

The Need for Location-based Machine Learning Models for Level 5 Automated Vehicles.
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021

Resolving Confusion of Unknowns in Autonomous Vehicles: Types and Perspectives.
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021

A Hierarchical Dependency-Driven Scenario-Based Testing for Autonomous Vehicles.
Proceedings of the Smart Cities, Green Technologies, and Intelligent Transport Systems, 2021

Functional Safety Hazards for Machine Learning Components in Autonomous Vehicles.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

2020
SACC - A property driven approach to expose undesired behaviors among system's components.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

2019
VeriCCM: improving the syntax and semantics of requirements models.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Exposing off-nominal behaviors in multi-robot coordination.
Proceedings of the 2nd International Workshop on Robotics Software Engineering, 2019

An artificial intelligence-based model-driven approach for exposing off-nominal behaviors.
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2018
Finding Component State Transition Model Elements Using Neural Networks: An Empirical Study.
Proceedings of the 5th International Workshop on Artificial Intelligence for Requirements Engineering, 2018

A Knowledge Acquisition Approach for Off-Nominal Behaviors.
Proceedings of the 4th International Workshop on Requirements Engineering for Self-Adaptive, 2018

Deriving Functional Safety Requirements Using Undesired Combination State Templates.
Proceedings of the 4th International Workshop on Requirements Engineering for Self-Adaptive, 2018

A combinatorial approach for exposing off-nominal behaviors.
Proceedings of the 40th International Conference on Software Engineering, 2018

2017
Automated Identification of Component State Transition Model Elements from Requirements.
Proceedings of the IEEE 25th International Requirements Engineering Conference Workshops, 2017

Hierarchical Model Exploration for Exposing Off-nominal Behaviors.
Proceedings of MODELS 2017 Satellite Event: Workshops (ModComp, 2017


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