Abram Hindle

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 94

Top Venues

University of Waterloo, Ontario, Canada (PHD)

Education History

University of Waterloo, Ontario, Canada

PHD

Publications

Sunil Vasu Kalmady, Amir Salimi, Weijie Sun, Nariman Sepehrvand, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Abram Hindle, Finlay A. McAlister, Russell Greiner, Roopinder K. Sandhu, Padma Kaul
Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level. npj Digit. Medicine 7 (1) (2024)
Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Saiful Islam, Abram Hindle, Padma Kaul, Russell Greiner
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data. CoRR (2024)
Kalvin Eng, Abram Hindle, Eleni Stroulia
Patterns of multi-container composition for service orchestration with Docker Compose. Empir. Softw. Eng. 29 (3) (2024)
Hareem Sahar, Abdul Ali Bangash, Abram Hindle, Denilson Barbosa
IRJIT: A simple, online, information retrieval approach for just-in-time software defect prediction. Empir. Softw. Eng. 29 (5) (2024)
Anisha Islam, Kalvin Eng, Abram Hindle
Opening the Valve on Pure-Data: Usage Patterns and Programming Practices of a Data-Flow Based Visual Programming Language. MSR (2024)
Kalvin Eng, Abram Hindle, Alexander Senchenko
Identifying Defect-Inducing Changes in Visual Code. CoRR (2023)
Kalvin Eng, Abram Hindle, Alexander Senchenko
Identifying Defect-Inducing Changes in Visual Code. ICSME (2023)
Arthur V. Kamienski, Abram Hindle, Cor-Paul Bezemer
Analyzing Techniques for Duplicate Question Detection on Q&A Websites for Game Developers. Empir. Softw. Eng. 28 (1) (2023)
Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Amir Salimi, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Russell Greiner, Abram Hindle, Finlay A. McAlister, Roopinder K. Sandhu, Padma Kaul
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms. npj Digit. Medicine 6 (2023)
Weijie Sun, Samuel Iwuchukwu, Abdul Ali Bangash, Abram Hindle
An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS). MSR (2023)
Kalvin Eng, Abram Hindle, Alexander Senchenko
Predicting Defective Visual Code Changes in a Multi-Language AAA Video Game Project. CoRR (2023)
Abdul Ali Bangash, Kalvin Eng, Jamal Qasim, Karim Ali, Abram Hindle
Energy Consumption Estimation of API-usage in Smartphone Apps via Static Analysis. MSR (2023)
Kalvin Eng, Abram Hindle, Alexander Senchenko
Predicting Defective Visual Code Changes in a Multi-Language AAA Video Game Project. ICSME (2023)
Amir Salimi, Sunil Vasu Kalmady, Abram Hindle, Osmar Zaïane, Padma Kaul
Exploring Best Practices for ECG Signal Processing in Machine Learning. CoRR (2023)
Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Shiang Qi, Abram Hindle, Padma Kaul, Russell Greiner
Supervised Electrocardiogram(ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction. ML4H@NeurIPS (2023)
Kalvin Eng, Abram Hindle, Eleni Stroulia
Patterns in Docker Compose Multi-Container Orchestration. CoRR (2023)
Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Amir Salimi, Abram Hindle, Padma Kaul, Russell Greiner
Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case. SIPAIM (2023)
Anisha Islam, Nipuni Tharushika Hewage, Abdul Ali Bangash, Abram Hindle
Evolution of the Practice of Software Testing in Java Projects. MSR (2023)
Markos Viggiato, Dayi Lin, Abram Hindle, Cor-Paul Bezemer
What Causes Wrong Sentiment Classifications of Game Reviews? IEEE Trans. Games 14 (3) (2022)
Abdul Ali Bangash, Karim Ali, Abram Hindle
Black Box Technique to Reduce Energy Consumption of Android Apps. ICSE (NIER) (2022)
Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Luan Manh Chu, Zihan Wang, Amir Salimi, Abram Hindle, Russell Greiner, Padma Kaul
Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale. CoRR (2022)
Hareem Sahar, Yuxin Liu, Abdul Ali Bangash, Abram Hindle, Denilson Barbosa
IRJIT - An Information Retrieval Technique for Just-in-time Defect Identification. CoRR (2022)
Weijie Sun, Sunil Vasu Kalmady, Amir Salimi, Nariman Sepehrvand, Eric Ly, Abram Hindle, Russell Greiner, Padma Kaul
ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets. CoRR (2022)
Alexander William Wong, Amir Salimi, Abram Hindle, Sunil Vasu Kalmady, Padma Kaul
Multilabel 12-Lead Electrocardiogram Classification Using Beat to Sequence Autoencoders. ICASSP (2021)
Kalvin Eng, Abram Hindle
Revisiting Dockerfiles in Open Source Software Over Time. MSR (2021)
Kalvin Eng, Abram Hindle
Revisiting Dockerfiles in Open Source Software Over Time. CoRR (2021)
Bradley Hauer, Colin Choi, Anirudh S. Sundar, Abram Hindle, Scott Smallwood, Grzegorz Kondrak
Experimental Analysis of the Dorabella Cipher with Statistical Language Models. HistoCrypt (2021)
Daryl Posnett, Abram Hindle, Premkumar T. Devanbu
Reflections on: A Simpler Model of Software Readability. ACM SIGSOFT Softw. Eng. Notes 46 (3) (2021)
Hareem Sahar, Abram Hindle, Cor-Paul Bezemer
How are issue reports discussed in Gitter chat rooms? J. Syst. Softw. 172 (2021)
Hareem Sahar, Yuxin Liu, Abram Hindle, Denilson Barbosa
An empirical evaluation of the usefulness of Tree Kernels for Commit-time Defect Detection in large software systems. CoRR (2021)
Abdul Ali Bangash, Daniil Tiganov, Karim Ali, Abram Hindle
Energy Efficient Guidelines for iOS Core Location Framework. ICSME (2021)
Arthur V. Kamienski, Luisa Palechor, Cor-Paul Bezemer, Abram Hindle
PySStuBs: Characterizing Single-Statement Bugs in Popular Open-Source Python Projects. MSR (2021)
Alexander William Wong, Weijie Sun, Sunil Vasu Kalmady, Padma Kaul, Abram Hindle
Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble. CinC (2020)
Candy Pang, Abram Hindle, Denilson Barbosa
Understanding devops education with grounded theory. ICSE (SEET) (2020)
Alexander William Wong, Weijie Sun, Sunil Vasu Kalmady, Padma Kaul, Abram Hindle
Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble. CoRR (2020)
Daito Nakano, Mingyang Yin, Ryosuke Sato, Abram Hindle, Yasutaka Kamei, Naoyasu Ubayashi
A Quantitative Study of Security Bug Fixes of GitHub Repositories. CoRR (2020)
Candy Pang, Abram Hindle, Denilson Barbosa
Understanding DevOps education with Grounded theory. ICSE (Companion Volume) (2020)
Abdul Ali Bangash, Hareem Sahar, Abram Hindle, Karim Ali
On the time-based conclusion stability of cross-project defect prediction models. Empir. Softw. Eng. 25 (6) (2020)
Alexander William Wong, Amir Salimi, Shaiful Alam Chowdhury, Abram Hindle
Syntax and Stack Overflow: A Methodology for Extracting a Corpus of Syntax Errors and Fixes. ICSME (2019)
Alexander William Wong, Ken Wong, Abram Hindle
Tracing Forum Posts to MOOC Content using Topic Analysis. CoRR (2019)
Shaiful Alam Chowdhury, Abram Hindle, Rick Kazman, Takumi Shuto, Ken Matsui, Yasutaka Kamei
GreenBundle: an empirical study on the energy impact of bundled processing. ICSE (2019)
Shaiful Alam Chowdhury, Stephanie Borle, Stephen Romansky, Abram Hindle
GreenScaler: training software energy models with automatic test generation. Empir. Softw. Eng. 24 (4) (2019)
Lin Tan, Abram Hindle
Guest Editorial: Special Section on Mining Software Repositories. Empir. Softw. Eng. 24 (3) (2019)
Abram Hindle, Curtis Onuczko
Preventing duplicate bug reports by continuously querying bug reports. Empir. Softw. Eng. 24 (2) (2019)
Abdul Ali Bangash, Hareem Sahar, Shaiful Alam Chowdhury, Alexander William Wong, Abram Hindle, Karim Ali
What do developers know about machine learning: a study of ML discussions on StackOverflow. MSR (2019)
Abram Hindle
Complexity: Let's Not Make This Complicated. IEEE Softw. 36 (2) (2019)
Abdul Ali Bangash, Hareem Sahar, Abram Hindle, Karim Ali
On the Time-Based Conclusion Stability of Software Defect Prediction Models. CoRR (2019)
Andrea K. McIntosh, Safwat Hassan, Abram Hindle
What can Android mobile app developers do about the energy consumption of machine learning? Empir. Softw. Eng. 24 (2) (2019)
Md. Monir Hossain, Nima Mahmoudi, Changyuan Lin, Hamzeh Khazaei, Abram Hindle
Executability of Python Snippets in Stack Overflow. CoRR (2019)
Alexander William Wong, Amir Salimi, Shaiful Alam Chowdhury, Abram Hindle
Syntax and Stack Overflow: A methodology for extracting a corpus of syntax errors and fixes. CoRR (2019)
Junji Shimagaki, Yasutaka Kamei, Naoyasu Ubayashi, Abram Hindle
Automatic topic classification of test cases using text mining at an Android smartphone vendor. ESEM (2018)
Eddie Antonio Santos, Joshua Charles Campbell, Dhvani Patel, Abram Hindle, José Nelson Amaral
Syntax and sensibility: Using language models to detect and correct syntax errors. SANER (2018)
Abram Hindle
If You Bill It, They Will Pay: Energy Consumption in the Cloud Will Be Irrelevant Until Directly Billed for. RE4SuSy@RE (2018)
Neil C. Borle, Meysam Feghhi, Eleni Stroulia, Russell Greiner, Abram Hindle
Analyzing the effects of test driven development in GitHub. ICSE (2018)
Stephen Romansky, Cheng Chen, Baljeet Malhotra, Abram Hindle
Sourcerer's Apprentice and the study of code snippet migration. CoRR (2018)
Rubén Saborido, Foutse Khomh, Abram Hindle, Enrique Alba
An app performance optimization advisor for mobile device app marketplaces. Sustain. Comput. Informatics Syst. 19 (2018)
Shaiful Alam Chowdhury, Silvia Di Nardo, Abram Hindle, Zhen Ming (Jack) Jiang
An exploratory study on assessing the energy impact of logging on Android applications. Empir. Softw. Eng. 23 (3) (2018)
Neil C. Borle, Meysam Feghhi, Eleni Stroulia, Russell Greiner, Abram Hindle
Analyzing the effects of test driven development in GitHub. Empir. Softw. Eng. 23 (4) (2018)
Eddie Antonio Santos, Carson McLean, Christopher Solinas, Abram Hindle
How does docker affect energy consumption? Evaluating workloads in and out of Docker containers. J. Syst. Softw. 146 (2018)
Abram Hindle, Daryl Posnett
Performance with an electronically excited didgeridoo. NIME (2017)
Rubén Saborido, Foutse Khomh, Abram Hindle, Enrique Alba
An App Performance Optimization Advisor for Mobile Device App Marketplaces. CoRR (2017)
Eddie A. Santos, Joshua Charles Campbell, Abram Hindle, José Nelson Amaral
Finding and correcting syntax errors using recurrent neural networks. PeerJ Prepr. 5 (2017)
Karan Aggarwal, Finbarr Timbers, Tanner Rutgers, Abram Hindle, Eleni Stroulia, Russell Greiner
Detecting duplicate bug reports with software engineering domain knowledge. J. Softw. Evol. Process. 29 (3) (2017)
Stephen Romansky, Neil C. Borle, Shaiful Alam Chowdhury, Abram Hindle, Russell Greiner
Deep Green: Modelling Time-Series of Software Energy Consumption. ICSME (2017)
Rocco Oliveto, Abram Hindle, Dawn J. Lawrie
Source code analysis and manipulation. J. Syst. Softw. 129 (2017)
Gregory Burlet, Abram Hindle
Isolated guitar transcription using a deep belief network. PeerJ Comput. Sci. 3 (2017)
Eddie Antonio Santos, Carson McLean, Christopher Solinas, Abram Hindle
How does Docker affect energy consumption? Evaluating workloads in and out of Docker containers. CoRR (2017)
Shaiful Alam Chowdhury, Stephanie Gil, Stephen Romansky, Abram Hindle
Did I make a mistake? Finding the impact of code change on energy regression. PeerJ Prepr. 5 (2017)
Abram Hindle
Hacking NIMEs. NIME (2016)
Eddie A. Santos, Abram Hindle
Judging a commit by its cover; or can a commit message predict build failure? PeerJ Prepr. 4 (2016)
Varun Sapra, Abram Hindle
Web servers energy efficiency under HTTP/2. PeerJ Prepr. 4 (2016)
Shaiful Alam Chowdhury, Stephanie Gil, Stephen Romansky, Abram Hindle
GreenScaler: Automatically training software energy models with big data. PeerJ Prepr. 4 (2016)
Joshua Charles Campbell, Eddie Antonio Santos, Abram Hindle
The unreasonable effectiveness of traditional information retrieval in crash report deduplication. MSR (2016)
Candy Pang, Abram Hindle, Bram Adams, Ahmed E. Hassan
What Do Programmers Know about Software Energy Consumption? IEEE Softw. 33 (3) (2016)
Joshua Charles Campbell, Eddie A. Santos, Abram Hindle
The unreasonable effectiveness of traditional information retrieval in crash report deduplication. PeerJ Prepr. 4 (2016)
Stephen Romansky, Sadegh Charmchi, Abram Hindle
Boa: a link between worlds. PeerJ Prepr. 4 (2016)
Candy Pang, Abram Hindle
Continuous Maintenance. ICSME (2016)
Eddie Antonio Santos, Abram Hindle
Judging a commit by its cover: correlating commit message entropy with build status on travis-CI. MSR (2016)
Ivanilton Polato, Denilson Barbosa, Abram Hindle, Fabio Kon
Hadoop energy consumption reduction with hybrid HDFS. SAC (2016)
Felienne Hermans, Janet Siegmund, Thomas Fritz, Gabriele Bavota, Meiyappan Nagappan, Abram Hindle, Yasutaka Kamei, Ali Mesbah, Bram Adams
Leaders of Tomorrow on the Future of Software Engineering: A Roundtable. IEEE Softw. 33 (2) (2016)
Shaiful Alam Chowdhury, Abram Hindle
Characterizing energy-aware software projects: are they different? MSR (2016)
Shaiful Alam Chowdhury, Varun Sapra, Abram Hindle
Client-Side Energy Efficiency of HTTP/2 for Web and Mobile App Developers. SANER (2016)
Abram Hindle, Anahita Alipour, Eleni Stroulia
A contextual approach towards more accurate duplicate bug report detection and ranking. Empir. Softw. Eng. 21 (2) (2016)
Abram Hindle
Green Software Engineering: The Curse of Methodology. FOSE@SANER (2016)
Andrea K. McIntosh, Abram Hindle
What should mobile app developers do about machine learning and energy? PeerJ Prepr. 4 (2016)
Shaiful Alam Chowdhury, Abram Hindle
GreenOracle: estimating software energy consumption with energy measurement corpora. MSR (2016)
Michael D. Feist, Eddie Antonio Santos, Ian Watts, Abram Hindle
Visualizing Project Evolution through Abstract Syntax Tree Analysis. VISSOFT (2016)
Abram Hindle
Green software engineering: the curse of methodology. PeerJ Prepr. 4 (2016)
Ali Sajedi Badashian, Abram Hindle, Eleni Stroulia
Crowdsourced Bug Triaging: Leveraging Q&A Platforms for Bug Assignment. FASE (2016)
Abram Hindle, Earl T. Barr, Mark Gabel, Zhendong Su, Premkumar T. Devanbu
On the naturalness of software. Commun. ACM 59 (5) (2016)
Samir Hasan, Zachary King, Munawar Hafiz, Mohammed Sayagh, Bram Adams, Abram Hindle
Energy profiles of Java collections classes. ICSE (2016)
Abram Hindle
Stopping duplicate bug reports before they start with Continuous Querying for bug reports. PeerJ Prepr. 4 (2016)
Joshua Charles Campbell, Eddie Antonio Santos, Abram Hindle
Anatomy of a crash repository. PeerJ Prepr. 4 (2016)
Neil Borle, Meysam Feghhi, Abram Hindle
Analysis of Test Driven Development on sentiment and coding activities in GitHub repositories. PeerJ Prepr. 4 (2016)
Joshua Charles Campbell, Abram Hindle
The charming code that error messages are talking about. PeerJ Prepr. 3 (2015)
Ivanilton Polato, Denilson Barbosa, Abram Hindle, Fabio Kon
Hadoop branching: Architectural impacts on energy and performance. IGSC (2015)
Shaiful Alam Chowdhury, Abram Hindle
Mining StackOverflow to Filter Out Off-Topic IRC Discussion. MSR (2015)
Karan Aggarwal, Tanner Rutgers, Finbarr Timbers, Abram Hindle, Russell Greiner, Eleni Stroulia
Detecting duplicate bug reports with software engineering domain knowledge. SANER (2015)
Ali Sajedi Badashian, Abram Hindle, Eleni Stroulia
Crowdsourced bug triaging. ICSME (2015)
Joshua Charles Campbell, Abram Hindle, José N. Amaral
Error location in Python: where the mutants hide. PeerJ Prepr. 3 (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Abram Hindle