Saad Shafiq

23 papers A* 2A 1B 3C 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Catalyst: Out-of-Distribution Detection via Elastic Scaling.
CoRR
Abid Hassan, Tuan Ngo, Saad Shafiq, Nenad Medvidovic
2026 J jnl
DAVIS: OOD Detection via Dominant Activations and Variance for Increased Separation.
CoRR
Abid Hassan, Tuan Ngo, Saad Shafiq, Nenad Medvidovic
2025 A* conf
Are We Learning the Right Features? A Framework for Evaluating DL-Based Software Vulnerability Detection Solutions.
ICSE
Satyaki Das, Syeda Tasnim Fabiha, Saad Shafiq, Nenad Medvidovic
2025 J jnl
Are We Learning the Right Features? A Framework for Evaluating DL-Based Software Vulnerability Detection Solutions.
CoRR
Satyaki Das, Syeda Tasnim Fabiha, Saad Shafiq, Nenad Medvidovic
2025 J jnl
Identifying Appropriately-Sized Services with Deep Reinforcement Learning.
CoRR
Syeda Tasnim Fabiha, Saad Shafiq, Wesley Klewerton Guez Assunção, Nenad Medvidovic
2024 J jnl
Balanced knowledge distribution among software development teams - Observations from open- and closed-source software development.
J. Softw. Evol. Process.
Saad Shafiq, Christoph Mayr-Dorn, Atif Mashkoor, Alexander Egyed
2024 J jnl
Code smells in pull requests: An exploratory study.
Softw. Pract. Exp.
Muhammad Ilyas Azeem, Saad Shafiq, Atif Mashkoor, Alexander Egyed
2024 A conf
Exploring Dependencies Among Inconsistencies to Enhance the Consistency Maintenance of Models.
SANER
Luciano Marchezan, Wesley K. G. Assunção, Edvin Herac, Saad Shafiq, Alexander Egyed
2024 J jnl
Improving DNN Modularization via Activation-Driven Training.
CoRR
Tuan Ngo, Abid Hassan, Saad Shafiq, Nenad Medvidovic
2024 A* conf
Toward Improved Deep Learning-based Vulnerability Detection.
ICSE
Adriana Sejfia, Satyaki Das, Saad Shafiq, Nenad Medvidovic
2024 J jnl
Toward Improved Deep Learning-based Vulnerability Detection.
CoRR
Adriana Sejfia, Satyaki Das, Saad Shafiq, Nenad Medvidovic
2022 J jnl
Balanced Knowledge Distribution among Software Development Teams - Observations from Open-Source and Closed-Source Software Development.
CoRR
Saad Shafiq, Christoph Mayr-Dorn, Atif Mashkoor, Alexander Egyed
2021 J jnl
A Literature Review of Using Machine Learning in Software Development Life Cycle Stages.
IEEE Access
Saad Shafiq, Atif Mashkoor, Christoph Mayr-Dorn, Alexander Egyed
2021 B conf
NLP4IP: Natural Language Processing-based Recommendation Approach for Issues Prioritization.
SEAA
Saad Shafiq, Atif Mashkoor, Christoph Mayr-Dorn, Alexander Egyed
2021 — conf
TaskAllocator: A Recommendation Approach for Role-based Tasks Allocation in Agile Software Development.
ICGSE/ICSSP
Saad Shafiq, Atif Mashkoor, Christoph Mayr-Dorn, Alexander Egyed
2021 J jnl
TaskAllocator: A Recommendation Approach for Role-based Tasks Allocation in Agile Software Development.
CoRR
Saad Shafiq, Atif Mashkoor, Christoph Mayr-Dorn, Alexander Egyed
2020 J jnl
Machine Learning for Software Engineering: A Systematic Mapping.
CoRR
Saad Shafiq, Atif Mashkoor, Christoph Mayr-Dorn, Alexander Egyed
2020 C conf
Towards Optimal Assembly Line Order Sequencing with Reinforcement Learning: A Case Study.
ETFA
Saad Shafiq, Christoph Mayr-Dorn, Atif Mashkoor, Alexander Egyed
2019 B conf
Communication Patterns of Kanban Teams and Their Impact on Iteration Performance and Quality.
SEAA
Saad Shafiq, Irum Inayat, Muhammad Abbas
2018 — conf
A Systematic Mapping Study on Security Requirements Engineering Frameworks for Cyber-Physical Systems.
SpaCCS
Shafiq-Ur Rehman, Volker Gruhn, Saad Shafiq, Irum Inayat
2017 J jnl
Model-driven Development based Cross Platform Application Development: A Systematic Mapping Study.
J. Inf. Sci. Eng.
Saad Shafiq, Irum Inayat
2017 — conf
Towards Studying the Communication Patterns of Kanban Teams: A Research Design.
RE Workshops
Saad Shafiq, Irum Inayat
2013 B conf
A framework to rapidly test SDN use-cases and accelerate middlebox applications.
LCN
Rajesh Narayanan, Geng Lin, Affan A. Syed, Saad Shafiq, Fahd Gilani