Daniel E. Krutz

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 43

Top Topics

Multiple Instance Learning

Android Application

Experiential Learning

Recurrent Neural Networks

Top Venues

MOBILESoft@ICSE

Publications

Weishi Shi, Heather Moses, Qi Yu, Samuel A. Malachowsky, Daniel E. Krutz
ALL: Supporting Experiential Accessibility Education and Inclusive Software Development. ACM Trans. Softw. Eng. Methodol. 33 (2) (2024)
Yang Liu, Heather Moses, Mark Sternefeld, Samuel A. Malachowsky, Daniel E. Krutz
Do Users Act Equitably? Understanding User Bias Through a Large In-person Study. ICSE (SEIS) (2023)
Heather Moses, Su Thit Thazin, Samuel A. Malachowsky, Daniel E. Krutz
Experiential Educational Accessibility Modules. CHI Extended Abstracts (2023)
Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman A. ElSaid, Travis Desell, Daniel E. Krutz
Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics. GECCO (2022)
Niranjana Deshpande, Naveen Sharma, Qi Yu, Daniel E. Krutz
Online Learning Using Incomplete Execution Data for Self-Adaptive Service-Oriented Systems. ICWS (2022)
Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman A. ElSaid, Travis Desell, Daniel E. Krutz
Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics. CoRR (2022)
Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. IEEE BigData (2021)
Niranjana Deshpande, Naveen Sharma, Qi Yu, Daniel E. Krutz
R-CASS: Using Algorithm Selection for Self-Adaptive Service Oriented Systems. ICWS (2021)
Saad Khan, Heather Moses, Samuel A. Malachowsky, Daniel E. Krutz
ALL: Accessibility Learning Labs for Computing Accessibility Education. ITiCSE (Working Group Reports) (2021)
Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. CoRR (2021)
Weishi Shi, Saad Khan, Yasmine N. El-Glaly, Samuel A. Malachowsky, Qi Yu, Daniel E. Krutz
Experiential learning in computing accessibility education. ICSE (Companion Volume) (2020)
AbdElRahman A. ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell
Neuro-Evolutionary Transfer Learning Through Structural Adaptation. EvoApplications (2020)
Paul Tymann, Yasmine N. El-Glaly, Daniel E. Krutz
Experiential Accessibility Learning Labs for Computing Education. SIGCSE (2020)
Yasmine N. El-Glaly, Weishi Shi, Samuel A. Malachowsky, Qi Yu, Daniel E. Krutz
Presenting and evaluating the impact of experiential learning in computing accessibility education. ICSE (SEET) (2020)
AbdElRahman A. ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell
Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. GECCO (2020)
Weishi Shi, Samuel A. Malachowsky, Yasmine N. El-Glaly, Qi Yu, Daniel E. Krutz
Presenting and Evaluating the Impact of Experiential Learning in Computing Accessibility Education. CoRR (2020)
Samuel A. Malachowsky, Daniel E. Krutz
TPM: Using Experiential Learning to Support Accessibility in Computing Education. CSEE&T (2020)
Richard E. Ladner, Anat Caspi, Leah Findlater, Paula Gabbert, Amy J. Ko, Daniel E. Krutz
Panel: What and How to Teach Accessibility. SIGCSE (2020)
AbdElRahman A. ElSaid, Joshua Karns, Alexander G. Ororbia II, Daniel E. Krutz, Zimeng Lyu, Travis Desell
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation. CoRR (2020)
Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. CoRR (2020)
Gian Luca Scoccia, Anthony Peruma, Virginia Pujols, Ivano Malavolta, Daniel E. Krutz
Permission Issues in Open-Source Android Apps: An Exploratory Study. SCAM (2019)
Gian Luca Scoccia, Anthony Peruma, Virginia Pujols, Ben Christians, Daniel E. Krutz
An empirical history of permission requests and mistakes in open source Android apps. MSR (2019)
Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. ASE (2019)
AbdElRahman A. ElSaid, Travis Desell, Daniel E. Krutz
Is adaptivity a core property of intelligent systems?: it depends. SEAMS@ICSE (2019)
Anthony Peruma, Daniel E. Krutz
Security: a critical quality attribute in self-adaptive systems. SEAMS@ICSE (2018)
Yasmine N. El-Glaly, Anthony Peruma, Daniel E. Krutz, J. Scott Hawker
Apps for everyone: mobile accessibility learning modules. Inroads 9 (2) (2018)
Anthony Peruma, Jeffrey Palmerino, Daniel E. Krutz
Investigating user perception and comprehension of Android permission models. MOBILESoft@ICSE (2018)
Anthony Peruma, Daniel E. Krutz
Understanding the relationship between quality and security: a large-scale analysis of Android applications. SEAD@ICSE (2018)
Anthony Peruma, Samuel A. Malachowsky, Daniel E. Krutz
Providing an experiential cybersecurity learning experience through mobile security labs. SEAD@ICSE (2018)
Daniel E. Krutz, Thomas Richards
Cyber security education: why don't we do anything about it? Inroads 8 (4) (2017)
Colton Dennis, Daniel E. Krutz, Mohamed Wiem Mkaouer
P-Lint: A Permission Smell Detector for Android Applications. MOBILESoft@ICSE (2017)
Patrick McAfee, Mohamed Wiem Mkaouer, Daniel E. Krutz
CATE: Concolic Android Testing Using Java PathFinder for Android Applications. MOBILESoft@ICSE (2017)
Daniel E. Krutz, Nuthan Munaiah, Anthony Peruma, Mohamed Wiem Mkaouer
Who Added That Permission to My App? An Analysis of Developer Permission Changes in Open Source Android Apps. MOBILESoft@ICSE (2017)
Piper Chester, Chris Jones, Mohamed Wiem Mkaouer, Daniel E. Krutz
M-Perm: A Lightweight Detector for Android Permission Gaps. MOBILESoft@ICSE (2017)
Daniel E. Krutz, Samuel A. Malachowsky
Teaching android security through examples: a publicly available database of vulnerable apps. Inroads 7 (4) (2016)
Daniel E. Krutz, Mehdi Mirakhorli
Architectural clones: toward tactical code reuse. SAC (2016)
Daniel E. Krutz, Nuthan Munaiah, Andrew Meneely, Samuel A. Malachowsky
Examining the relationship between security metrics and user ratings of mobile apps: a case study. WAMA@SIGSOFT FSE (2016)
Nuthan Munaiah, Casey Klimkowsky, Shannon McRae, Adam Blaine, Samuel A. Malachowsky, Cesar Perez, Daniel E. Krutz
Darwin: a static analysis dataset of malicious and benign Android apps. WAMA@SIGSOFT FSE (2016)
Daniel E. Krutz, Samuel A. Malachowsky, Emad Shihab
Examining the effectiveness of using concolic analysis to detect code clones. SAC (2015)
Samuel A. Malachowsky, Daniel E. Krutz
A project component in a web engineering course. FIE (2015)
Daniel E. Krutz, Andrew Meneely, Samuel A. Malachowsky
An insider threat activity in a software security course. FIE (2015)
Daniel E. Krutz, Mehdi Mirakhorli, Samuel A. Malachowsky, Andres Ruiz, Jacob Peterson, Andrew Filipski, Jared Smith
A Dataset of Open-Source Android Applications. MSR (2015)
Daniel E. Krutz, Samuel A. Malachowsky, Scott D. Jones, Jayme A. Kaplan
Enhancing the educational experience for deaf and hard of hearing students in software engineering. FIE (2015)
Daniel E. Krutz, Samuel A. Malachowsky, Thomas Reichlmayr
Using a real world project in a software testing course. SIGCSE (2014)
Daniel E. Krutz, Wei Le
A code clone oracle. MSR (2014)
Daniel E. Krutz, Andrew Meneely
Teaching Web Engineering using a project component. FIE (2013)
Daniel E. Krutz, James R. Vallino
Experiencing disruptive behavior in a team using "moles". FIE (2013)
Daniel E. Krutz, Emad Shihab
CCCD: Concolic code clone detection. WCRE (2013)
Daniel E. Krutz, Michael J. Lutz
Bug of the Day: Reinforcing the importance of testing. FIE (2013)
Michael J. Lutz, James R. Vallino, Kenn Martínez, Daniel E. Krutz
Instilling a software engineering mindset through freshman Seminar. FIE (2012)