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Daniel E. Krutz

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2020 – today

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2024
[j4]
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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): 39:1-39:30 (2024)
[c45]
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Yang Liu, Xiaofan Que, Dingrong Wang, Samuel A. Malachowsky, Daniel E. Krutz:
Presenting Experiential Educational Machine Learning Labs. CSEE&T 2024: 1-2
[c44]
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Yang Liu, Xiaofan Que, Dingrong Wang, Samuel A. Malachowsky, Daniel E. Krutz:
Accessible Learning Labs: Accessibility Education Through Experiential Learning. CSEE&T 2024: 1-2
[c43]
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Devroop Kar, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell, Daniel E. Krutz:
Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution. GECCO Companion 2024: 1924-1933
[c42]
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Yang Liu, Domenic Mangano, Krishna Prd. Neupane, Samuel A. Malachowsky, Daniel E. Krutz:
Using Accessibility Awareness Interventions to Improve Computing Education. SEET@ICSE 2024: 66-71
2023
[c41]
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Heather Moses, Su Thit Thazin, Samuel A. Malachowsky, Daniel E. Krutz:
Experiential Educational Accessibility Modules. CHI Extended Abstracts 2023: 539:1-539:3
[c40]
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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: 83-95
2022
[c39]
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Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz:
Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics. GECCO 2022: 1299-1307
[c38]
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Niranjana Deshpande, Naveen Sharma, Qi Yu, Daniel E. Krutz:
Online Learning Using Incomplete Execution Data for Self-Adaptive Service-Oriented Systems. ICWS 2022: 296-301
[i5]
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  - journals/corr/abs-2204-10308
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Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz:
Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics. CoRR abs/2204.10308 (2022)
2021
[c37]
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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: 1772-1778
[c36]
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Niranjana Deshpande, Naveen Sharma, Qi Yu, Daniel E. Krutz:
R-CASS: Using Algorithm Selection for Self-Adaptive Service Oriented Systems. ICWS 2021: 61-72
[c35]
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Saad Khan, Heather Moses, Samuel A. Malachowsky, Daniel E. Krutz:
ALL: Accessibility Learning Labs for Computing Accessibility Education. ITiCSE (2) 2021: 625-626
[i4]
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  - journals/corr/abs-2111-08625
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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 abs/2111.08625 (2021)
2020
[c34]
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Samuel A. Malachowsky, Daniel E. Krutz:
TPM: Using Experiential Learning to Support Accessibility in Computing Education. CSEE&T 2020: 1-2
[c33]
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  - conf/evoW/ElSaidKLKOD20
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AbdElRahman ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell:
Neuro-Evolutionary Transfer Learning Through Structural Adaptation. EvoApplications 2020: 610-625
[c32]
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AbdElRahman 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: 315-323
[c31]
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  - conf/icse/El-GlalySM0K20
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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: 49-60
[c30]
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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: 250-251
[c29]
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  - conf/sigcse/LadnerCFGKK20
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Richard E. Ladner, Anat Caspi, Leah Findlater, Paula Gabbert, Amy J. Ko, Daniel E. Krutz:
Panel: What and How to Teach Accessibility. SIGCSE 2020: 639-640
[c28]
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Paul Tymann, Yasmine N. El-Glaly, Daniel E. Krutz:
Experiential Accessibility Learning Labs for Computing Education. SIGCSE 2020: 1388
[i3]
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  - journals/corr/abs-2002-06445
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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 abs/2002.06445 (2020)
[i2]
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  - journals/corr/abs-2004-11302
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Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz:
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. CoRR abs/2004.11302 (2020)
[i1]
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  - journals/corr/abs-2006-02655
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AbdElRahman 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 abs/2006.02655 (2020)

2010 – 2019

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2019
[c27]
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AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz:
Is adaptivity a core property of intelligent systems?: it depends. SEAMS@ICSE 2019: 153-154
[c26]
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  - conf/kbse/PalmerinoYDK19
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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: 949-961
[c25]
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  - conf/msr/ScocciaPPCK19
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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: 597-601
[c24]
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Gian Luca Scoccia, Anthony Peruma, Virginia Pujols, Ivano Malavolta, Daniel E. Krutz:
Permission Issues in Open-Source Android Apps: An Exploratory Study. SCAM 2019: 238-249
2018
[j3]
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  - journals/inroads/El-GlalyPKH18
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Yasmine N. El-Glaly, Anthony Peruma, Daniel E. Krutz, J. Scott Hawker:
Apps for everyone: mobile accessibility learning modules. Inroads 9(2): 30-33 (2018)
[c23]
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Anthony Peruma, Daniel E. Krutz:
Understanding the relationship between quality and security: a large-scale analysis of Android applications. SEAD@ICSE 2018: 19-25
[c22]
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Anthony Peruma, Samuel A. Malachowsky, Daniel E. Krutz:
Providing an experiential cybersecurity learning experience through mobile security labs. SEAD@ICSE 2018: 51-54
[c21]
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Anthony Peruma, Jeffrey Palmerino, Daniel E. Krutz:
Investigating user perception and comprehension of Android permission models. MOBILESoft@ICSE 2018: 56-66
[c20]
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Anthony Peruma, Daniel E. Krutz:
Security: a critical quality attribute in self-adaptive systems. SEAMS@ICSE 2018: 188-189
2017
[j2]
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Daniel E. Krutz, Thomas Richards:
Cyber security education: why don't we do anything about it? Inroads 8(4): 5 (2017)
[c19]
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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: 165-169
[c18]
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Patrick McAfee, Mohamed Wiem Mkaouer, Daniel E. Krutz:
CATE: Concolic Android Testing Using Java PathFinder for Android Applications. MOBILESoft@ICSE 2017: 213-214
[c17]
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Piper Chester, Chris Jones, Mohamed Wiem Mkaouer, Daniel E. Krutz:
M-Perm: A Lightweight Detector for Android Permission Gaps. MOBILESoft@ICSE 2017: 217-218
[c16]
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Colton Dennis, Daniel E. Krutz, Mohamed Wiem Mkaouer:
P-Lint: A Permission Smell Detector for Android Applications. MOBILESoft@ICSE 2017: 219-220
2016
[j1]
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Daniel E. Krutz, Samuel A. Malachowsky:
Teaching android security through examples: a publicly available database of vulnerable apps. Inroads 7(4): 96-98 (2016)
[c15]
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Daniel E. Krutz, Mehdi Mirakhorli:
Architectural clones: toward tactical code reuse. SAC 2016: 1480-1485
[c14]
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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: 8-14
[c13]
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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: 26-29
2015
[c12]
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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: 1-9
[c11]
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Daniel E. Krutz, Andrew Meneely, Samuel A. Malachowsky:
An insider threat activity in a software security course. FIE 2015: 1-6
[c10]
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Samuel A. Malachowsky, Daniel E. Krutz:
A project component in a web engineering course. FIE 2015: 1-6
[c9]
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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: 522-525
[c8]
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Daniel E. Krutz, Samuel A. Malachowsky, Emad Shihab:
Examining the effectiveness of using concolic analysis to detect code clones. SAC 2015: 1610-1615
2014
[c7]
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Daniel E. Krutz, Wei Le:
A code clone oracle. MSR 2014: 388-391
[c6]
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Daniel E. Krutz, Samuel A. Malachowsky, Thomas Reichlmayr:
Using a real world project in a software testing course. SIGCSE 2014: 49-54
2013
[b1]
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  - phd/basesearch/Krutz13
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Daniel E. Krutz:
Code Clone Discovery Based on Concolic Analysis. Nova Southeastern University, Fort Lauderdale, Florida, USA, 2013
[c5]
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Daniel E. Krutz, Andrew Meneely:
Teaching Web Engineering using a project component. FIE 2013: 1366-1368
[c4]
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Daniel E. Krutz, James R. Vallino:
Experiencing disruptive behavior in a team using "moles". FIE 2013: 1492-1495
[c3]
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Daniel E. Krutz, Michael J. Lutz:
Bug of the Day: Reinforcing the importance of testing. FIE 2013: 1795-1799
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Daniel E. Krutz, Emad Shihab:
CCCD: Concolic code clone detection. WCRE 2013: 489-490
2012
[c1]
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Michael J. Lutz, James R. Vallino, Kenn Martínez, Daniel E. Krutz:
Instilling a software engineering mindset through freshman Seminar. FIE 2012: 1-6

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