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Ekincan Ufuktepe - IEEE Xplore Author Profile
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Ekincan Ufuktepe

Publications
15
Citations
43
Publications by Year
20162023
Co-Authors:
Show All Co-Authors (25)
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Ekincan Ufuktepe

Affiliation

University of Missouri
Columbia
MO, USA

Publication Topics

Biography

Ekincan Ufuktepe (Member, IEEE) received the B.S. degree in computer engineering from the İzmir University of Economics, in 2011, and the M.S. and Ph.D. degrees in computer engineering from the İzmir Institute of Technology, in 2014 and 2019, respectively. In 2013, he was a Research Intern with the Security and Trust Department, SAP Laboratories France. From 2019 to 2021, he was a Postdoctoral Researcher with the Computational Imaging and Visualization Analysis (CIVA) Laboratory, University of Missouri, Columbia, where he has been an Assistant Professor with the Electrical Engineering and Computer Science Department, since 2022. His current research interests include software testing, program analysis, and software security.(Based on document published on 5 June 2023).
Publications
15
Citations
43
Publications by Year
20162023
Co-Authors:
Show All Co-Authors (25)
Author's Published Works

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Risk-Based Zero Trust Scale for Tactical Edge Network Environments

Saketh Poduvu;Sayed M. Saghaian N. E.;Ekincan Ufuktepe;Alicia Esquivel Morel;Prasad Calyam

2023 IEEE/ACM Symposium on Edge Computing (SEC)
Year: 2023 | Conference Paper |
Cited by: Papers (3)
In dynamic and resource-constrained Tactical Edge Network (TEN) environments, where Denied, Disrupted, Intermittent, and Limited Impact (DDIL) conditions prevail, a tailored se-curity approach is vital for real-time decision-making. In this paper, we propose adapting the Zero Trust (ZT) security paradigm to suit TEN settings, focusing on strict access con-trols, continuous entity verification, and...Show More

Risk-Based Zero Trust Scale for Tactical Edge Network Environments

Saketh Poduvu;Sayed M. Saghaian N. E.;Ekincan Ufuktepe;Alicia Esquivel Morel;Prasad Calyam

Year: 2023 | Conference Paper |

Trust Quantification in a Collaborative Drone System with Intelligence-driven Edge Routing

Alicia Esquivel Morel;Ekincan Ufuktepe;Cameron Grant;Samuel Elfrink;Chengyi Qu;Prasad Calyam;Kannappan Palaniappan

NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Collaborative Drone systems (CDS) have the potential to benefit a variety of application areas such as agriculture, military operations, surveillance, and disaster response. At the same time, CDS can pose challenges due to their limited flight time impacted by battery capacities, and constrained edge computation capabilities on-board the drones. Furthermore, an understudied subject relates to when...Show More

Trust Quantification in a Collaborative Drone System with Intelligence-driven Edge Routing

Alicia Esquivel Morel;Ekincan Ufuktepe;Cameron Grant;Samuel Elfrink;Chengyi Qu;Prasad Calyam;Kannappan Palaniappan

Year: 2023 | Conference Paper |

Application of the Law of Minimum and Dissimilarity Analysis to Regression Test Case Prioritization

Ekincan Ufuktepe;Tugkan Tuglular

IEEE Access
Year: 2023 | Volume: 11 | Journal Article |
Regression testing is one of the most expensive processes in testing. Prioritizing test cases in regression testing is critical for the goal of detecting the faults sooner within a large set of test cases. We propose a test case prioritization (TCP) technique for regression testing called LoM-Score inspired by the Law of Minimum (LoM) from biology. This technique calculates the impact probabilitie...Show More

Application of the Law of Minimum and Dissimilarity Analysis to Regression Test Case Prioritization

Ekincan Ufuktepe;Tugkan Tuglular

Year: 2023 | Volume: 11 | Journal Article |

Detecting Software Code Vulnerabilities Using 2D Convolutional Neural Networks with Program Slicing Feature Maps

Anne Watson;Ekincan Ufuktepe;Kannappan Palaniappan

2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Throughout the post-PC world, IoT devices and real-time embedded systems have integrated themselves into every aspect of our lives. However, as technology integrates itself, the risk of security vulnerabilities and their impact also grows. Different languages have different susceptibilities to cyberattacks. Programs based on C and C++ are particularly vulnerable to cyberattacks through buffer over...Show More

Detecting Software Code Vulnerabilities Using 2D Convolutional Neural Networks with Program Slicing Feature Maps

Anne Watson;Ekincan Ufuktepe;Kannappan Palaniappan

Year: 2022 | Conference Paper |

Tracking Code Bug Fix Ripple Effects Based on Change Patterns Using Markov Chain Models

Ekincan Ufuktepe;Tugkan Tuglular;Kannappan Palaniappan

IEEE Transactions on Reliability
Year: 2022 | Volume: 71, Issue: 2 | Journal Article |
Cited by: Papers (6)
Change impact analysis evaluates the changes that are made in the software and finds the ripple effects, in other words, finds the affected software components. Code changes and bug fixes can have a high impact on code quality by introducing new vulnerabilities or increasing their severity. A recent high-visibility example of this is the code changes in the log4j web software CVE-2021-45105 to fix...Show More

Tracking Code Bug Fix Ripple Effects Based on Change Patterns Using Markov Chain Models

Ekincan Ufuktepe;Tugkan Tuglular;Kannappan Palaniappan

Year: 2022 | Volume: 71, Issue: 2 | Journal Article |

Auto-SDist: An Automatic COVID-19 Social Distancing and Room Management System Architecture for Indoors

Kenyon Shutt;Wan Fatimah Wan Nawawi;Gillian Schulte;Juan Martinez-Sainz;Ekincan Ufuktepe;Kannappan Palaniappan

2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
Year: 2021 | Conference Paper |
The COVID-19 pandemic has changed the world in unprecedented ways. Due to its high levels of transmissibility and fatality rates, the Centers for Disease Control and Prevention (CDC) continues to update their recommendations about safe human interaction. However, enforcing these standards using manual labor can be expensive and subjective. Thereby, this study aims to help public establishments enf...Show More

Auto-SDist: An Automatic COVID-19 Social Distancing and Room Management System Architecture for Indoors

Kenyon Shutt;Wan Fatimah Wan Nawawi;Gillian Schulte;Juan Martinez-Sainz;Ekincan Ufuktepe;Kannappan Palaniappan

Year: 2021 | Conference Paper |

Heterogeneous Modeling and Testing of Software Product Lines

Fevzi Belli;Tugkan Tuglular;Ekincan Ufuktepe

2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
Software product line (SPL) engineering is a widely accepted approach to systematically realizing software reuse in an industrial environment. Feature models, a centerpiece of most SPL engineering techniques, are appropriate to model the variability and the structure of SPLs, but not their behavior. This paper uses the idea to link feature modeling to model-based behavior modeling and to determine...Show More

Heterogeneous Modeling and Testing of Software Product Lines

Fevzi Belli;Tugkan Tuglular;Ekincan Ufuktepe

Year: 2021 | Conference Paper |

The Relation between Bug Fix Change Patterns and Change Impact Analysis

Ekincan Ufuktepe;Tugkan Tuglular;Kannappan Palaniappan

2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
Change impact analysis analyzes the changes that are made in the software and finds the ripple effects, in other words, finds the affected software components. In this study, we analyze the bug fix change patterns to have a better understanding of what types of changes are common in fixing bugs. To achieve this, we implemented a tool that compares two versions of codes and detects the changes that...Show More

The Relation between Bug Fix Change Patterns and Change Impact Analysis

Ekincan Ufuktepe;Tugkan Tuglular;Kannappan Palaniappan

Year: 2021 | Conference Paper |

A Metric for Measuring Test Input Generation Effectiveness of Test Generation Methods for Boolean Expressions

Deniz Kavzak Ufuktepe;Ekincan Ufuktepe;Tolga Ayav

2021 15th Turkish National Software Engineering Symposium (UYMS)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
The literature includes several methods to generate test inputs for Boolean expressions. The effectiveness of those methods needs to be analyzed by extensive comparisons. To this end, mutation analysis is often benefited by applying a distinctively selected set of mutants on each test generation method. Mutation analysis provides substantive information about the effectiveness of a test suite by i...Show More

A Metric for Measuring Test Input Generation Effectiveness of Test Generation Methods for Boolean Expressions

Deniz Kavzak Ufuktepe;Ekincan Ufuktepe;Tolga Ayav

Year: 2021 | Conference Paper |

Learning-Based Shadow Detection in Aerial Imagery Using Automatic Training Supervision from 3D Point Clouds

Deniz Kavzak Ufuktepe;Jaired Collins;Ekincan Ufuktepe;Joshua Fraser;Timothy Krock;Kannappan Palaniappan

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Year: 2021 | Conference Paper |
Cited by: Papers (5)
Shadows, motion parallax, and occlusions pose significant challenges to vision tasks in wide area motion imagery (WAMI) including object identification and tracking. Although there are many successful shadow detection approaches that work well in indoor scenes, close range outdoor scenes, and spaceborne satellite images, the methods tend to fail in intermediate altitude aerial WAMI. We propose an ...Show More

Learning-Based Shadow Detection in Aerial Imagery Using Automatic Training Supervision from 3D Point Clouds

Deniz Kavzak Ufuktepe;Jaired Collins;Ekincan Ufuktepe;Joshua Fraser;Timothy Krock;Kannappan Palaniappan

Year: 2021 | Conference Paper |

MuKEA-TCP: A Mutant Kill-based Local Search Augmented Evolutionary Algorithm Approach for Test Case Prioritization

Ekincan Ufuktepe;Deniz Kavzak Ufuktepe;Korhan Karabulut

2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)
Year: 2021 | Conference Paper |
The test case prioritization (TCP) problem is defined as determining an execution order of test cases so that important tests are executed early. Different metrics have been proposed to measure importance of test cases. While coverage and fault-detection based measures have benefits and have been used in a lot of studies, mutation kill-based measures have emerged in TCP recently, since they have b...Show More

MuKEA-TCP: A Mutant Kill-based Local Search Augmented Evolutionary Algorithm Approach for Test Case Prioritization

Ekincan Ufuktepe;Deniz Kavzak Ufuktepe;Korhan Karabulut

Year: 2021 | Conference Paper |

Code Change Sniffer: Predicting Future Code Changes with Markov Chain

Ekincan Ufuktepe;Tugkan Tuglular

2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
Code changes are one of the essential processes of software evolution. These changes are performed to fix bugs, improve quality of software, and provide a better user experience. However, such changes made in code could lead to ripple effects that can cause unwanted behavior. To prevent such issues occurring after code changes, code change prediction, change impact analysis techniques are used. Th...Show More

Code Change Sniffer: Predicting Future Code Changes with Markov Chain

Ekincan Ufuktepe;Tugkan Tuglular

Year: 2021 | Conference Paper |

Semi-automatic System for Rapid Annotation of Moving Objects in Surveillance Videos using Deep Detection and Multi-object Tracking Techniques

Noor M. AL-Shakarji;Ekincan Ufuktepe;Filiz Bunyak;Hadi Aliakbarpour;Guna Seetharaman;Kannappan Palaniappan

2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
With the recent advances in video sensor technologies, emergence of new applications associated with these technologies, and demand for automated video analytics have increased the need for ground-truth annotations. Researchers attempt to explore different methodologies and algorithms on different challenging datasets. Ground-truth annotations are needed for quantitative evaluation and comparison ...Show More

Semi-automatic System for Rapid Annotation of Moving Objects in Surveillance Videos using Deep Detection and Multi-object Tracking Techniques

Noor M. AL-Shakarji;Ekincan Ufuktepe;Filiz Bunyak;Hadi Aliakbarpour;Guna Seetharaman;Kannappan Palaniappan

Year: 2020 | Conference Paper |

A Program Slicing-Based Bayesian Network Model for Change Impact Analysis

Ekincan Ufuktepe;Tugkan Tuglular

2018 IEEE International Conference on Software Quality, Reliability and Security (QRS)
Year: 2018 | Conference Paper |
Cited by: Papers (10)
Change impact analysis plays an important role in identifying potential affected areas that are caused by changes that are made in a software. Most of the existing change impact analysis techniques are based on architectural design and change history. However, source code-based change impact analysis studies are very few and they have shown higher precision in their results. In this study, a stati...Show More

A Program Slicing-Based Bayesian Network Model for Change Impact Analysis

Ekincan Ufuktepe;Tugkan Tuglular

Year: 2018 | Conference Paper |

Automation Architecture for Bayesian Network Based Test Case Prioritization and Execution

Ekincan Ufuktepe;Tugkan Tuglular

2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
An automation architecture for Bayesian Network based test case prioritization is designed for software written in Java programming language following the approach proposed by Mirarab and Tahvildari [2]. The architecture is implemented as an integration of a series of tools and called Bayesian Network based test case prioritization and execution platform. The platform is triggered by a change in t...Show More

Automation Architecture for Bayesian Network Based Test Case Prioritization and Execution

Ekincan Ufuktepe;Tugkan Tuglular

Year: 2016 | Volume: 2 | Conference Paper |

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