Daniel E. Krutz

69 papers A* 1A 10B 1C 9Misc 2Journal 19Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Fostering Accessible Design Skills with AI-Agents and Experiential Learning in Software Engineering Education. SIGCSE (2) Farzana Rahman, Daniel E. Krutz
2026	J	`jnl`	Investigating Quantum Circuit Designs Using Neuro-Evolution. CoRR Devroop Kar, Daniel E. Krutz, Travis Desell
2025	J	`jnl`	Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions. CoRR Devroop Kar, Zimeng Lyu, Sheeraja Rajakrishnan, Hao Zhang, Alexander Ororbia, Travis Desell, Daniel E. Krutz
2025	—	`conf`	Enhancing Computing Accessibility Education Using Experiential Labs: A Focus on Color Blindness and Localization. SIGCSE (2) Heather Moses, Elaina Trapatsos, Farzana Rahman, Samuel A. Malachowsky, Daniel E. Krutz
2025	J	`jnl`	Learning using statistical invariants: when they work and when they don't. Mach. Learn. Yang Liu, Ernest Fokoué, Daniel E. Krutz
2025	—	`conf`	Presenting Computing Accessibility Education Using Experiential Labs. SIGCSE (2) Heather Moses, Elaina Trapatsos, Farzana Rahman, Samuel A. Malachowsky, Daniel E. Krutz
2025	J	`jnl`	Supporting Experiential Computing Education with the Accessible Learning Labs. J. Comput. Sci. Coll. Carla Lopez, Samuel A. Malachowsky, Daniel E. Krutz, Farzana Rahman
2024	J	`jnl`	ALL: Supporting Experiential Accessibility Education and Inclusive Software Development. ACM Trans. Softw. Eng. Methodol. Weishi Shi, Heather Moses, Qi Yu, Samuel A. Malachowsky, Daniel E. Krutz
2024	—	`conf`	Accessible Learning Labs: Accessibility Education Through Experiential Learning. CSEE&T Yang Liu, Xiaofan Que, Dingrong Wang, Samuel A. Malachowsky, Daniel E. Krutz
2024	J	`jnl`	Bridging the Empathy Gap: Hands-On Exploration of Human-Empathy Accessibility Learning (HEAL) Interventions in Computer Science Education - Conference Workshop. J. Comput. Sci. Coll. Maggie Frechette, Annabel Fisher, Mohammad Shaikh, Jon LeFrois, Dmitry Burshteyn, Samuel A. Malachowsky, Daniel E. Krutz, Jami L. Cotler
2024	—	`conf`	Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution. GECCO Companion Devroop Kar, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell, Daniel E. Krutz
2024	C	`conf`	Experiential and Expression-based Accessibility Awareness Interventions to Improve Computing Education. FIE Yang Liu, Domenic Mangano, Krishna Prasad Neupane, Samuel A. Malachowsky, Daniel E. Krutz
2024	—	`conf`	Presenting Experiential Educational Machine Learning Labs. CSEE&T Yang Liu, Xiaofan Que, Dingrong Wang, Samuel A. Malachowsky, Daniel E. Krutz
2024	—	`conf`	Using Accessibility Awareness Interventions to Improve Computing Education. SEET@ICSE Yang Liu, Domenic Mangano, Krishna Prasad Neupane, Samuel A. Malachowsky, Daniel E. Krutz
2024	J	`jnl`	Using the Accessible Learning Labs for Accessibility and Machine Learning Education - Conference Tutorial. J. Comput. Sci. Coll. Carla Lopez, Kyle Messerle, Samuel A. Malachowsky, Daniel E. Krutz, Jami L. Cotler
2023	—	`conf`	Do Users Act Equitably? Understanding User Bias Through a Large In-person Study. ICSE (SEIS) Yang Liu, Heather Moses, Mark Sternefeld, Samuel A. Malachowsky, Daniel E. Krutz
2023	J	`jnl`	Enhancing Computing Accessibility Education Using Experiential Labs: A Focus on Screen Readers and Dexterity Impairments. J. Comput. Sci. Coll. Su Thit Thazin, Kyle Messerle, Heather Moses, Domenic Mangano, Samuel A. Malachowsky, Daniel E. Krutz
2023	—	`conf`	Experiential Educational Accessibility Modules. CHI Extended Abstracts Heather Moses, Su Thit Thazin, Samuel A. Malachowsky, Daniel E. Krutz
2023	J	`jnl`	Experiential Learning in Undergraduate Accessibility Education: Instructor Observations. J. Comput. Sci. Coll. Saad Khan, Heather Moses, Samuel A. Malachowsky, Daniel E. Krutz
2023	J	`jnl`	Open Questions for Empathy-Building Interventions for Inclusive Software Development. J. Comput. Sci. Coll. Kyle Messerle, Samuel A. Malachowsky, Daniel E. Krutz
2022	J	`jnl`	Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics. CoRR Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz
2022	A	`conf`	Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics. GECCO Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz
2022	A	`conf`	Online Learning Using Incomplete Execution Data for Self-Adaptive Service-Oriented Systems. ICWS Niranjana Deshpande, Naveen Sharma, Qi Yu, Daniel E. Krutz
2021	—	`conf`	ALL: Accessibility Learning Labs for Computing Accessibility Education. ITiCSE (2) Saad Khan, Heather Moses, Samuel A. Malachowsky, Daniel E. Krutz
2021	A	`conf`	R-CASS: Using Algorithm Selection for Self-Adaptive Service Oriented Systems. ICWS Niranjana Deshpande, Naveen Sharma, Qi Yu, Daniel E. Krutz
2021	J	`jnl`	Supporting computing accessibility education using experiential learning labs: conference tutorial. J. Comput. Sci. Coll. Saad Khan, Samuel A. Malachowsky, Daniel E. Krutz
2021	—	`conf`	Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. IEEE BigData Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu
2021	J	`jnl`	Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. CoRR Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu
2020	A	`conf`	Experiential Accessibility Learning Labs for Computing Education. SIGCSE Paul Tymann, Yasmine N. El-Glaly, Daniel E. Krutz
2020	—	`conf`	Experiential learning in computing accessibility education. ICSE (Companion Volume) Weishi Shi, Saad Khan, Yasmine N. El-Glaly, Samuel A. Malachowsky, Qi Yu, Daniel E. Krutz
2020	A	`conf`	Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. GECCO AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell
2020	J	`jnl`	Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. CoRR Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz
2020	B	`conf`	Neuro-Evolutionary Transfer Learning Through Structural Adaptation. EvoApplications AbdElRahman ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell
2020	J	`jnl`	Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation. CoRR AbdElRahman ElSaid, Joshua Karns, Alexander G. Ororbia II, Daniel E. Krutz, Zimeng Lyu, Travis Desell
2020	A	`conf`	Panel: What and How to Teach Accessibility. SIGCSE Richard E. Ladner, Anat Caspi, Leah Findlater, Paula Gabbert, Amy J. Ko, Daniel E. Krutz
2020	J	`jnl`	Presenting and Evaluating the Impact of Experiential Learning in Computing Accessibility Education. CoRR Weishi Shi, Samuel A. Malachowsky, Yasmine N. El-Glaly, Qi Yu, Daniel E. Krutz
2020	—	`conf`	Presenting and evaluating the impact of experiential learning in computing accessibility education. ICSE (SEET) Yasmine N. El-Glaly, Weishi Shi, Samuel A. Malachowsky, Qi Yu, Daniel E. Krutz
2020	—	`conf`	TPM: Using Experiential Learning to Support Accessibility in Computing Education. CSEE&T Samuel A. Malachowsky, Daniel E. Krutz
2019	A	`conf`	An empirical history of permission requests and mistakes in open source Android apps. MSR Gian Luca Scoccia, Anthony Peruma, Virginia Pujols, Ben Christians, Daniel E. Krutz
2019	A*	`conf`	Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. ASE Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz
2019	—	`conf`	Is adaptivity a core property of intelligent systems?: it depends. SEAMS@ICSE AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz
2019	C	`conf`	Permission Issues in Open-Source Android Apps: An Exploratory Study. SCAM Gian Luca Scoccia, Anthony Peruma, Virginia Pujols, Ivano Malavolta, Daniel E. Krutz
2018	J	`jnl`	Apps for everyone: mobile accessibility learning modules. Inroads Yasmine N. El-Glaly, Anthony Peruma, Daniel E. Krutz, J. Scott Hawker
2018	—	`conf`	Investigating user perception and comprehension of Android permission models. MOBILESoft@ICSE Anthony Peruma, Jeffrey Palmerino, Daniel E. Krutz
2018	—	`conf`	Providing an experiential cybersecurity learning experience through mobile security labs. SEAD@ICSE Anthony Peruma, Samuel A. Malachowsky, Daniel E. Krutz
2018	—	`conf`	Security: a critical quality attribute in self-adaptive systems. SEAMS@ICSE Anthony Peruma, Daniel E. Krutz
2018	—	`conf`	Understanding the relationship between quality and security: a large-scale analysis of Android applications. SEAD@ICSE Anthony Peruma, Daniel E. Krutz
2017	—	`conf`	CATE: Concolic Android Testing Using Java PathFinder for Android Applications. MOBILESoft@ICSE Patrick McAfee, Mohamed Wiem Mkaouer, Daniel E. Krutz
2017	J	`jnl`	Cyber security education: why don't we do anything about it? Inroads Daniel E. Krutz, Thomas Richards
2017	—	`conf`	M-Perm: A Lightweight Detector for Android Permission Gaps. MOBILESoft@ICSE Piper Chester, Chris Jones, Mohamed Wiem Mkaouer, Daniel E. Krutz
2017	—	`conf`	P-Lint: A Permission Smell Detector for Android Applications. MOBILESoft@ICSE Colton Dennis, Daniel E. Krutz, Mohamed Wiem Mkaouer
2017	—	`conf`	Who Added That Permission to My App? An Analysis of Developer Permission Changes in Open Source Android Apps. MOBILESoft@ICSE Daniel E. Krutz, Nuthan Munaiah, Anthony Peruma, Mohamed Wiem Mkaouer
2016	Misc	`conf`	Architectural clones: toward tactical code reuse. SAC Daniel E. Krutz, Mehdi Mirakhorli
2016	—	`conf`	Darwin: a static analysis dataset of malicious and benign Android apps. WAMA@SIGSOFT FSE Nuthan Munaiah, Casey Klimkowsky, Shannon McRae, Adam Blaine, Samuel A. Malachowsky, Cesar Perez, Daniel E. Krutz
2016	—	`conf`	Examining the relationship between security metrics and user ratings of mobile apps: a case study. WAMA@SIGSOFT FSE Daniel E. Krutz, Nuthan Munaiah, Andrew Meneely, Samuel A. Malachowsky
2016	J	`jnl`	Teaching android security through examples: a publicly available database of vulnerable apps. Inroads Daniel E. Krutz, Samuel A. Malachowsky
2015	A	`conf`	A Dataset of Open-Source Android Applications. MSR Daniel E. Krutz, Mehdi Mirakhorli, Samuel A. Malachowsky, Andres Ruiz, Jacob Peterson, Andrew Filipski, Jared Smith
2015	C	`conf`	A project component in a web engineering course. FIE Samuel A. Malachowsky, Daniel E. Krutz
2015	C	`conf`	An insider threat activity in a software security course. FIE Daniel E. Krutz, Andrew Meneely, Samuel A. Malachowsky
2015	C	`conf`	Enhancing the educational experience for deaf and hard of hearing students in software engineering. FIE Daniel E. Krutz, Samuel A. Malachowsky, Scott D. Jones, Jayme A. Kaplan
2015	Misc	`conf`	Examining the effectiveness of using concolic analysis to detect code clones. SAC Daniel E. Krutz, Samuel A. Malachowsky, Emad Shihab
2014	A	`conf`	A code clone oracle. MSR Daniel E. Krutz, Wei Le
2014	A	`conf`	Using a real world project in a software testing course. SIGCSE Daniel E. Krutz, Samuel A. Malachowsky, Thomas Reichlmayr
2013	C	`conf`	Bug of the Day: Reinforcing the importance of testing. FIE Daniel E. Krutz, Michael J. Lutz
2013	—	`conf`	CCCD: Concolic code clone detection. WCRE Daniel E. Krutz, Emad Shihab
2013	—	`—`	Code Clone Discovery Based on Concolic Analysis. Daniel E. Krutz
2013	C	`conf`	Experiencing disruptive behavior in a team using "moles". FIE Daniel E. Krutz, James R. Vallino
2013	C	`conf`	Teaching Web Engineering using a project component. FIE Daniel E. Krutz, Andrew Meneely
2012	C	`conf`	Instilling a software engineering mindset through freshman Seminar. FIE Michael J. Lutz, James R. Vallino, Kenn Martínez, Daniel E. Krutz