Performance Analysis of IPTV Traffic in Home Networks. - Emad Shihab; Fengdan Wan; Lin Cai 001; T. Aaron Gulliver; Noel Tin (GLOBECOM, 2007)

A Distributed Directional-to-Directional MAC Protocol for Asynchronous Ad Hoc Networks. - Emad Shihab; Lin Cai 001; Jianping Pan 001 (GLOBECOM, 2008)

Wireless Mesh Networks for In-Home IPTV Distribution. - Emad Shihab; Lin Cai 001; Fengdan Wan; T. Aaron Gulliver; Noel Tin (IEEE Netw., 2008)

An empirical study on the risks of using off-the-shelf techniques for processing mailing list data. - Nicolas Bettenburg; Emad Shihab; Ahmed E. Hassan (ICSM, 2009)

Studying the use of developer IRC meetings in open source projects. - Emad Shihab; Zhen Ming Jiang; Ahmed E. Hassan (ICSM, 2009)

On the Central Role of Mailing Lists in Open Source Projects: An Exploratory Study. - Emad Shihab; Nicolas Bettenburg; Bram Adams; Ahmed E. Hassan (JSAI-isAI Workshops, 2009)

On the use of Internet Relay Chat (IRC) meetings by developers of the GNOME GTK+ project. - Emad Shihab; Zhen Ming Jiang; Ahmed E. Hassan (MSR, 2009)

A Distributed Asynchronous Directional-to-Directional MAC Protocol for Wireless Ad Hoc Networks. - Emad Shihab; Lin Cai 001; Jianping Pan 001 (IEEE Trans. Veh. Technol., 2009)

Understanding the impact of code and process metrics on post-release defects: a case study on the Eclipse project. - Emad Shihab; Zhen Ming Jiang; Walid M. Ibrahim; Bram Adams; Ahmed E. Hassan (ESEM, 2010)

Mining Challenge 2010: FreeBSD, GNOME Desktop and Debian/Ubuntu. - Abram Hindle; Israel Herraiz; Emad Shihab; Zhen Ming Jiang (MSR, 2010)

Should I contribute to this discussion? - Walid M. Ibrahim; Nicolas Bettenburg; Emad Shihab; Bram Adams; Ahmed E. Hassan (MSR, 2010)

Prioritizing Unit Test Creation for Test-Driven Maintenance of Legacy Systems. - Emad Shihab; Zhen Ming Jiang; Bram Adams; Ahmed E. Hassan; Robert Bowerman (QSIC, 2010)

An Industrial Case Study on Speeding Up User Acceptance Testing by Mining Execution Logs. - Zhen Ming Jiang; Alberto Avritzer; Emad Shihab; Ahmed E. Hassan; Parminder Flora (SSIRI, 2010)

Predicting Re-opened Bugs: A Case Study on the Eclipse Project. - Emad Shihab; Akinori Ihara; Yasutaka Kamei; Walid M. Ibrahim; Masao Ohira; Bram Adams; Ahmed E. Hassan; Ken-ichi Matsumoto (WCRE, 2010)

Admission region of triple-play services in wireless home networks. - Fengdan Wan; Lin Cai 001; Emad Shihab; T. Aaron Gulliver (Comput. Commun., 2010)

Pragmatic prioritization of software quality assurance efforts. - Emad Shihab (ICSE, 2011)

High-impact defects: a study of breakage and surprise defects. - Emad Shihab; Audris Mockus; Yasutaka Kamei; Bram Adams; Ahmed E. Hassan (SIGSOFT FSE, 2011)

Impact of Installation Counts on Perceived Quality: A Case Study on Debian. - Israel Herraiz; Emad Shihab; Thanh H. D. Nguyen; Ahmed E. Hassan (WCRE, 2011)

Prioritizing the creation of unit tests in legacy software systems. - Emad Shihab; Zhen Ming Jiang; Bram Adams; Ahmed E. Hassan; Robert Bowerman (Softw. Pract. Exp., 2011)

The effect of branching strategies on software quality. - Emad Shihab; Christian Bird; Thomas Zimmermann 001 (ESEM, 2012)

Mining challenge 2012: The Android platform. - Emad Shihab; Yasutaka Kamei; Pamela Bhattacharya (MSR, 2012)

An industrial study on the risk of software changes. - Emad Shihab; Ahmed E. Hassan; Bram Adams; Zhen Ming Jiang (SIGSOFT FSE, 2012)

An Exploration of Challenges Limiting Pragmatic Software Defect Prediction. - Emad Shihab (2012)

Challenges in mobile apps: a multi-disciplinary perspective. - Meiyappan Nagappan; Emad Shihab; Ahmed E. Hassan (CASCON, 2013)

1st international workshop on the engineering of mobile-enabled systems (MOBS 2013). - Grace A. Lewis; Jeff Gray 001; Henry Muccini; Nachiappan Nagappan; David S. Rosenblum; Emad Shihab (ICSE, 2013)

The evolution of mobile apps: an exploratory study. - Jack Zhang; Shikhar Sagar; Emad Shihab (DeMobile@ESEC/FSE, 2013)

CCCD: Concolic code clone detection. - Daniel E. Krutz; Emad Shihab (WCRE, 2013)

Studying re-opened bugs in open source software. - Emad Shihab; Akinori Ihara; Yasutaka Kamei; Walid M. Ibrahim; Masao Ohira; Bram Adams; Ahmed E. Hassan; Ken-ichi Matsumoto (Empir. Softw. Eng., 2013)

Is lines of code a good measure of effort in effort-aware models? - Emad Shihab; Yasutaka Kamei; Bram Adams; Ahmed E. Hassan (Inf. Softw. Technol., 2013)

Report of the 2013 ICSE 1st international workshop on engineering mobile-enabled systems (MOBS 2013): 12. - Grace A. Lewis; Nachiappan Nagappan; Jeff Gray 001; David S. Rosenblum; Henry Muccini; Emad Shihab (ACM SIGSOFT Softw. Eng. Notes, 2013)

A Large-Scale Empirical Study of Just-in-Time Quality Assurance. - Yasutaka Kamei; Emad Shihab; Bram Adams; Ahmed E. Hassan; Audris Mockus; Anand Sinha; Naoyasu Ubayashi (IEEE Trans. Software Eng., 2013)

An empirical study of bug report field reassignment. - Xin Xia 001; David Lo 001; Ming Wen 001; Emad Shihab; Bo Zhou 010 (CSMR-WCRE, 2014)

An Exploratory Study on Self-Admitted Technical Debt. - Aniket Potdar; Emad Shihab (ICSME, 2014)

Practical Software Quality Prediction. - Emad Shihab (ICSME, 2014)

An empirical study of dormant bugs. - Tse-Hsun Chen; Meiyappan Nagappan; Emad Shihab; Ahmed E. Hassan (MSR, 2014)

Characterizing and predicting blocking bugs in open source projects. - Harold Valdivia Garcia; Emad Shihab (MSR, 2014)

Prioritizing the devices to test your app on: a case study of Android game apps. - Hammad Khalid; Meiyappan Nagappan; Emad Shihab; Ahmed E. Hassan (SIGSOFT FSE, 2014)

Detecting and quantifying different types of self-admitted technical Debt. - Everton da S. Maldonado; Emad Shihab (MTD@ICSME, 2015)

Examining the effectiveness of using concolic analysis to detect code clones. - Daniel E. Krutz; Samuel A. Malachowsky; Emad Shihab (SAC, 2015)

Commit guru: analytics and risk prediction of software commits. - Christoffer Rosen; Ben Grawi; Emad Shihab (ESEC/SIGSOFT FSE, 2015)

Cross-project build co-change prediction. - Xin Xia 001; David Lo 001; Shane McIntosh; Emad Shihab; Ahmed E. Hassan (SANER, 2015)

Automatic, high accuracy prediction of reopened bugs. - Xin Xia 001; David Lo 001; Emad Shihab; Xinyu Wang 001; Bo Zhou 010 (Autom. Softw. Eng., 2015)

ELBlocker: Predicting blocking bugs with ensemble imbalance learning. - Xin Xia 001; David Lo 001; Emad Shihab; Xinyu Wang 001; Xiaohu Yang 001 (Inf. Softw. Technol., 2015)

What Do Mobile App Users Complain About? - Hammad Khalid; Emad Shihab; Meiyappan Nagappan; Ahmed E. Hassan (IEEE Softw., 2015)

Mobile app store analytics. - Meiyappan Nagappan; Emad Shihab (Perspectives on Data Science for Software Engineering, 2016)

Using Analytics to Quantify Interest of Self-Admitted Technical Debt. - Yasutaka Kamei; Everton da S. Maldonado; Emad Shihab; Naoyasu Ubayashi (QuASoQ/TDA@APSEC, 2016)

It Takes Two to Tango: Deleted Stack Overflow Question Prediction with Text and Meta Features. - Xin Xia 001; David Lo 001; Denzil Correa; Ashish Sureka; Emad Shihab (COMPSAC, 2016)

Predicting Crashing Releases of Mobile Applications. - Xin Xia 001; Emad Shihab; Yasutaka Kamei; David Lo 001; Xinyu Wang 001 (ESEM, 2016)

How Are Discussions Associated with Bug Reworking?: An Empirical Study on Open Source Projects. - Yu Zhao 041; Feng Zhang 001; Emad Shihab; Ying Zou 001; Ahmed E. Hassan (ESEM, 2016)

Defect Prediction: Accomplishments and Future Challenges. - Yasutaka Kamei; Emad Shihab (FOSE@SANER, 2016)

Future Trends in Software Engineering Research for Mobile Apps. - Meiyappan Nagappan; Emad Shihab (FOSE@SANER, 2016)

Examining the Impact of Self-Admitted Technical Debt on Software Quality. - Sultan Wehaibi; Emad Shihab; Latifa Guerrouj (SANER, 2016)

Studying high impact fix-inducing changes. - Ayse Tosun Misirli; Emad Shihab; Yasutaka Kamei (Empir. Softw. Eng., 2016)

What are mobile developers asking about? A large scale study using stack overflow. - Christoffer Rosen; Emad Shihab (Empir. Softw. Eng., 2016)

Automated Bug Report Field Reassignment and Refinement Prediction. - Xin Xia 001; David Lo 001; Emad Shihab; Xinyu Wang 001 (IEEE Trans. Reliab., 2016)

Examining User Complaints of Wearable Apps: A Case Study on Android Wear. - Suhaib Mujahid; Giancarlo Sierra; Rabe Abdalkareem; Emad Shihab; Weiyi Shang (MOBILESoft@ICSE, 2017)

An Empirical Study on the Removal of Self-Admitted Technical Debt. - Everton da S. Maldonado; Rabe Abdalkareem; Emad Shihab; Alexander Serebrenik (ICSME, 2017)

Why do developers use trivial packages? an empirical case study on npm. - Rabe Abdalkareem; Olivier Nourry; Sultan Wehaibi; Suhaib Mujahid; Emad Shihab (ESEC/SIGSOFT FSE, 2017)

Erratum to: Studying high impact fix-inducing changes. - Ayse Tosun; Emad Shihab; Yasutaka Kamei (Empir. Softw. Eng., 2017)

On code reuse from StackOverflow: An exploratory study on Android apps. - Rabe Abdalkareem; Emad Shihab; Juergen Rilling (Inf. Softw. Technol., 2017)

Mining Software Repositories:Accomplishments, Challenges andFuture Trends (NII Shonan Meeting 2017-2). - Emad Shihab; Akinori Ihara (NII Shonan Meet. Rep., 2017)

What Do Developers Use the Crowd For? A Study Using Stack Overflow. - Rabe Abdalkareem; Emad Shihab; Juergen Rilling (IEEE Softw., 2017)

Using Natural Language Processing to Automatically Detect Self-Admitted Technical Debt. - Everton da S. Maldonado; Emad Shihab; Nikolaos Tsantalis (IEEE Trans. Software Eng., 2017)

Identifying unmaintained projects in github. - Jailton Coelho; Marco Túlio Valente; Luciana Lourdes Silva; Emad Shihab (ESEM, 2018)

SATD detector: a text-mining-based self-admitted technical debt detection tool. - Zhongxin Liu 002; Qiao Huang; Xin Xia 001; Emad Shihab; David Lo 001; Shanping Li (ICSE (Companion Volume), 2018)

Studying Permission Related Issues in Android Wearable Apps. - Suhaib Mujahid; Rabe Abdalkareem; Emad Shihab (ICSME, 2018)

Test Re-Prioritization in Continuous Testing Environments. - Yue Cai Zhu; Emad Shihab; Peter C. Rigby (ICSME, 2018)

Learning to Generate Corrective Patches using Neural Machine Translation. - Hideaki Hata; Emad Shihab; Graham Neubig (CoRR, 2018)

Empirical study on the discrepancy between performance testing results from virtual and physical environments. - Muhammad Moiz Arif; Weiyi Shang; Emad Shihab (Empir. Softw. Eng., 2018)

Studying and detecting log-related issues. - Mehran Hassani; Weiyi Shang; Emad Shihab; Nikolaos Tsantalis (Empir. Softw. Eng., 2018)

Identifying self-admitted technical debt in open source projects using text mining. - Qiao Huang; Emad Shihab; Xin Xia 001; David Lo 001; Shanping Li (Empir. Softw. Eng., 2018)

An empirical study of Android Wear user complaints. - Suhaib Mujahid; Giancarlo Sierra; Rabe Abdalkareem; Emad Shihab; Weiyi Shang (Empir. Softw. Eng., 2018)

Characterizing and predicting blocking bugs in open source projects. - Harold Valdivia Garcia; Emad Shihab; Meiyappan Nagappan (J. Syst. Softw., 2018)

Class imbalance evolution and verification latency in just-in-time software defect prediction. - George G. Cabral; Leandro L. Minku; Emad Shihab; Suhaib Mujahid (ICSE, 2019)

The Impact of Data Reduction on Wearable-Based Human Activity Recognition. - Hosein Nourani; Emad Shihab; Omid Sarbishei (PerCom Workshops, 2019)

Is Self-Admitted Technical Debt a Good Indicator of Architectural Divergences? - Giancarlo Sierra; Ahmad Tahmid; Emad Shihab; Nikolaos Tsantalis (SANER, 2019)

Message from the General Chair, Program Co-Chairs, and Local Chair. - Xinyu Wang 001; David Lo 001; Emad Shihab; Xin Xia 001 (SANER, 2019)

Subject Cross Validation in Human Activity Recognition. - Akbar Dehghani; Tristan Glatard; Emad Shihab (CoRR, 2019)

MSRBot: Using Bots to Answer Questions from Software Repositories. - Ahmad Abdellatif; Emad Shihab (CoRR, 2019)

Guest editorial: special section on predictive models and data analytics in software engineering. - David Bowes; Emad Shihab; Burak Turhan (Empir. Softw. Eng., 2019)

The modular and feature toggle architectures of Google Chrome. - Md Tajmilur Rahman; Peter C. Rigby; Emad Shihab (Empir. Softw. Eng., 2019)

A survey of self-admitted technical debt. - Giancarlo Sierra; Emad Shihab; Yasutaka Kamei (J. Syst. Softw., 2019)

A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors. - Akbar Dehghani; Omid Sarbishei; Tristan Glatard; Emad Shihab (Sensors, 2019)

Automating Change-Level Self-Admitted Technical Debt Determination. - Meng Yan 001; Xin Xia 001; Emad Shihab; David Lo 001; Jianwei Yin; Xiaohu Yang 001 (IEEE Trans. Software Eng., 2019)

Is using deep learning frameworks free?: characterizing technical debt in deep learning frameworks. - Jiakun Liu; Qiao Huang; Xin Xia 001; Emad Shihab; David Lo 001; Shanping Li (ICSE-SEIS, 2020)

Challenges in Chatbot Development: A Study of Stack Overflow Posts. - Ahmad Abdellatif; Diego Costa 001; Khaled Badran; Rabe Abdalkareem; Emad Shihab (MSR, 2020)

Using Others' Tests to Identify Breaking Updates. - Suhaib Mujahid; Rabe Abdalkareem; Emad Shihab; Shane McIntosh (MSR, 2020)

On the Threat of npm Vulnerable Dependencies in Node.js Applications. - Mahmoud Alfadel; Diego Elias Costa; Mouafak Mkhallalati; Emad Shihab; Bram Adams (CoRR, 2020)

On the impact of using trivial packages: an empirical case study on npm and PyPI. - Rabe Abdalkareem; Vinicius Oda; Suhaib Mujahid; Emad Shihab (Empir. Softw. Eng., 2020)

MSRBot: Using bots to answer questions from software repositories. - Ahmad Abdellatif; Khaled Badran; Emad Shihab (Empir. Softw. Eng., 2020)

What do Programmers Discuss about Deep Learning Frameworks. - Junxiao Han; Emad Shihab; Zhiyuan Wan; Shuiguang Deng; Xin Xia 001 (Empir. Softw. Eng., 2020)

Simplifying the Search of npm Packages. - Ahmad Abdellatif; Yi Zeng; Mohamed Elshafei; Emad Shihab; Weiyi Shang (Inf. Softw. Technol., 2020)

On the Use of Dependabot Security Pull Requests. - Mahmoud Alfadel; Diego Elias Costa; Emad Shihab; Mouafak Mkhallalati (MSR, 2021)

How Effective is Continuous Integration in Indicating Single-Statement Bugs? - Jasmine Latendresse; Rabe Abdalkareem; Diego Elias Costa; Emad Shihab (MSR, 2021)

An Exploratory Study on the Introduction and Removal of Different Types of Technical Debt. - Jiakun Liu; Qiao Huang; Xin Xia 001; Emad Shihab; David Lo 001; Shanping Li (CoRR, 2021)

Towards Using Package Centrality Trend to Identify Packages in Decline. - Suhaib Mujahid; Diego Elias Costa; Rabe Abdalkareem; Emad Shihab; Mohamed Aymen Saied; Bram Adams (CoRR, 2021)

On Wasted Contributions: Understanding the Dynamics of Contributor-Abandoned Pull Requests. - SayedHassan Khatoonabadi; Diego Elias Costa; Rabe Abdalkareem; Emad Shihab (CoRR, 2021)

Helping or not helping? Why and how trivial packages impact the npm ecosystem. - Xiaowei Chen; Rabe Abdalkareem; Suhaib Mujahid; Emad Shihab; Xin Xia 001 (Empir. Softw. Eng., 2021)

On the Removal of Feature Toggles. - Juan Hoyos; Rabe Abdalkareem; Suhaib Mujahid; Emad Shihab; Albeiro Espinosa Bedoya (Empir. Softw. Eng., 2021)

An exploratory study on the introduction and removal of different types of technical debt in deep learning frameworks. - Jiakun Liu; Qiao Huang; Xin Xia 001; Emad Shihab; David Lo 001; Shanping Li (Empir. Softw. Eng., 2021)

Human Activity Recognition: A Comparative Study to Assess the Contribution Level of Accelerometer, ECG, and PPG Signals. - Mahsa Sadat Afzali Arani; Diego Elias Costa; Emad Shihab (Sensors, 2021)

On the Impact of Biceps Muscle Fatigue in Human Activity Recognition. - Mohamed Elshafei; Diego Elias Costa; Emad Shihab (Sensors, 2021)

Towards Detecting Biceps Muscle Fatigue in Gym Activity Using Wearables. - Mohamed Elshafei; Emad Shihab (Sensors, 2021)

Summary of the 2nd International Workshop on Bots in Software Engineering (BotSE 2020). - Emad Shihab; Stefan Wagner 001; Marco Aurélio Gerosa (ACM SIGSOFT Softw. Eng. Notes, 2021)

A Machine Learning Approach to Improve the Detection of CI Skip Commits. - Rabe Abdalkareem; Suhaib Mujahid; Emad Shihab (IEEE Trans. Software Eng., 2021)

Which Commits Can Be CI Skipped? - Rabe Abdalkareem; Suhaib Mujahid; Emad Shihab; Juergen Rilling (IEEE Trans. Software Eng., 2021)

Bots for Pull Requests: The Good, the Bad, and the Promising. - Mairieli Santos Wessel; Ahmad Abdellatif; Igor Wiese; Tayana Conte; Emad Shihab; Marco Aurélio Gerosa; Igor Steinmacher (ICSE, 2022)

Not All Dependencies are Equal: An Empirical Study on Production Dependencies in NPM. - Jasmine Latendresse; Suhaib Mujahid; Diego Elias Costa; Emad Shihab (ASE, 2022)

BotHunter: An Approach to Detect Software Bots in GitHub. - Ahmad Abdellatif; Mairieli Santos Wessel; Igor Steinmacher; Marco Aurélio Gerosa; Emad Shihab (MSR, 2022)

Software Bots in Software Engineering: Benefits and Challenges. - Mairieli Santos Wessel; Marco Aurélio Gerosa; Emad Shihab (MSR, 2022)

Achievement unlocked: a case study on gamifying DevOps practices in industry. - Patrick Ayoup; Diego Elias Costa; Emad Shihab (ESEC/SIGSOFT FSE, 2022)

23 shades of self-admitted technical debt: an empirical study on machine learning software. - David O'Brien; Sumon Biswas; Sayem Imtiaz; Rabe Abdalkareem; Emad Shihab; Hridesh Rajan (ESEC/SIGSOFT FSE, 2022)

A Machine Learning Approach to Determine the Semantic Versioning Type of npm Packages Releases. - Rabe Abdalkareem; Md Atique Reza Chowdhury; Emad Shihab (CoRR, 2022)

Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness? - Khaled Badran; Pierre-Olivier Côté; Amanda Kolopanis; Rached Bouchoucha; Antonio Collante; Diego Elias Costa; Emad Shihab; Foutse Khomh (CoRR, 2022)

An empirical study on self-admitted technical debt in modern code review. - Yutaro Kashiwa; Ryoma Nishikawa; Yasutaka Kamei; Masanari Kondo; Emad Shihab; Ryosuke Sato 001; Naoyasu Ubayashi (Inf. Softw. Technol., 2022)

Toward the Personalization of Biceps Fatigue Detection Model for Gym Activity: An Approach to Utilize Wearables' Data from the Crowd. - Mohamed Elshafei; Diego Elias Costa; Emad Shihab (Sensors, 2022)

The Present and Future of Bots in Software Engineering. - Emad Shihab; Stefan Wagner 001; Marco Aurélio Gerosa; Mairieli Santos Wessel; Jordi Cabot (IEEE Softw., 2022)

Toward Using Package Centrality Trend to Identify Packages in Decline. - Suhaib Mujahid; Diego Elias Costa; Rabe Abdalkareem; Emad Shihab; Mohamed Aymen Saied; Bram Adams (IEEE Trans. Engineering Management, 2022)

A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering. - Ahmad Abdellatif; Khaled Badran; Diego Elias Costa; Emad Shihab (IEEE Trans. Software Eng., 2022)

PerfJIT: Test-Level Just-in-Time Prediction for Performance Regression Introducing Commits. - Jinfu Chen 002; Weiyi Shang; Emad Shihab (IEEE Trans. Software Eng., 2022)

On the Untriviality of Trivial Packages: An Empirical Study of npm JavaScript Packages. - Md Atique Reza Chowdhury; Rabe Abdalkareem; Emad Shihab; Bram Adams (IEEE Trans. Software Eng., 2022)

Breaking Type Safety in Go: An Empirical Study on the Usage of the unsafe Package. - Diego Elias Costa; Suhaib Mujahid; Rabe Abdalkareem; Emad Shihab (IEEE Trans. Software Eng., 2022)

Dependency Smells in JavaScript Projects. - Abbas Javan Jafari; Diego Elias Costa; Rabe Abdalkareem; Emad Shihab; Nikolaos Tsantalis (IEEE Trans. Software Eng., 2022)

Diversity Awareness in Software Engineering Participant Research. - Riya Dutta; Diego Elias Costa; Emad Shihab; Tanja Tajmel (ICSE (SEIS), 2023)

An Empirical Study on Bugs Inside PyTorch: A Replication Study. - Sharon Chee Yin Ho; Vahid Majdinasab; Mohayeminul Islam; Diego Elias Costa; Emad Shihab; Foutse Khomh; Sarah Nadi; Muhammad Raza (ICSME, 2023)

Where to Go Now? Finding Alternatives for Declining Packages in the npm Ecosystem. - Suhaib Mujahid; Diego Elias Costa; Rabe Abdalkareem; Emad Shihab (ASE, 2023)

Dependency Practices for Vulnerability Mitigation. - Abbas Javan Jafari; Diego Elias Costa; Ahmad Abdellatif; Emad Shihab (CoRR, 2023)

On Wasted Contributions: Understanding the Dynamics of Contributor-Abandoned Pull Requests-A Mixed-Methods Study of 10 Large Open-Source Projects. - SayedHassan Khatoonabadi; Diego Elias Costa; Rabe Abdalkareem; Emad Shihab (ACM Trans. Softw. Eng. Methodol., 2023)

Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness? - Khaled Badran; Pierre-Olivier Côté; Amanda Kolopanis; Rached Bouchoucha; Antonio Collante; Diego Elias Costa; Emad Shihab; Foutse Khomh (Computer, 2023)

What are the characteristics of highly-selected packages? A case study on the npm ecosystem. - Suhaib Mujahid; Rabe Abdalkareem; Emad Shihab (J. Syst. Softw., 2023)

Empirical analysis of security vulnerabilities in Python packages. - Mahmoud Alfadel; Diego Elias Costa; Emad Shihab (Empir. Softw. Eng., 2023)

On the Discoverability of npm Vulnerabilities in Node.js Projects. - Mahmoud Alfadel; Diego Elias Costa; Emad Shihab; Bram Adams (ACM Trans. Softw. Eng. Methodol., 2023)

Empirical analysis of security-related code reviews in npm packages. - Mahmoud Alfadel; Nicholas Alexandre Nagy; Diego Elias Costa; Rabe Abdalkareem; Emad Shihab (J. Syst. Softw., 2023)

Dependency Update Strategies and Package Characteristics. - Abbas Javan Jafari; Diego Elias Costa; Emad Shihab; Rabe Abdalkareem (ACM Trans. Softw. Eng. Methodol., 2023)

DVC in Open Source ML-development: The Action and the Reaction. - Lorena Barreto Simedo Pacheco; Musfiqur Rahman; Fazle Rabbi; Pouya Fathollahzadeh; Ahmad Abdellatif; Emad Shihab; Tse-Hsun (Peter) Chen; Jinqiu Yang 001; Ying Zou 001 (CAIN, 2024)

LLM-Based Chatbots for Mining Software Repositories: Challenges and Opportunities. - Samuel Abedu; Ahmad Abdellatif; Emad Shihab (EASE, 2024)

A Transformer-based Approach for Augmenting Software Engineering Chatbots Datasets. - Ahmad Abdellatif; Khaled Badran; Diego Elias Costa; Emad Shihab (ESEM, 2024)

Are Prompt Engineering and TODO Comments Friends or Foes? An Evaluation on GitHub Copilot. - David O'Brien; Sumon Biswas; Sayem Mohammad Imtiaz; Rabe Abdalkareem; Emad Shihab; Hridesh Rajan (ICSE, 2024)

Code Mapper: Mapping the Global Contributions of OSS. - Thomas Le Tourneau; Jasmine Latendresse; Ahmad Abdellatif; Emad Shihab (ICSE Companion, 2024)

On the Variability of AI-based Software Systems Due to Environment Configurations. - Musfiqur Rahman; SayedHassan Khatoonabadi; Ahmad Abdellatif; Haya Samaana; Emad Shihab (CoRR, 2024)

Is ChatGPT a Good Software Librarian? An Exploratory Study on the Use of ChatGPT for Software Library Recommendations. - Jasmine Latendresse; SayedHassan Khatoonabadi; Ahmad Abdellatif; Emad Shihab (CoRR, 2024)

Automatic Detection of LLM-generated Code: A Case Study of Claude 3 Haiku. - Musfiqur Rahman; SayedHassan Khatoonabadi; Ahmad Abdellatif; Emad Shihab (CoRR, 2024)

An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots. - Ebube Alor; Ahmad Abdellatif; SayedHassan Khatoonabadi; Emad Shihab (CoRR, 2024)

Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering. - Samuel Abedu; SayedHassan Khatoonabadi; Emad Shihab (CoRR, 2024)

A Weak Supervision-Based Approach to Improve Chatbots for Code Repositories. - Farbod Farhour; Ahmad Abdellatif; Essam Mansour 001; Emad Shihab (Proc. ACM Softw. Eng., 2024)

SE4AI: A Training Program Considering Technical, Social, and Professional Aspects of AI-Based Software Systems. - Ahmad Abdellatif; Gita Ghiasi; Diego Elias Costa; Emad Shihab; Tanja Tajmel (IEEE Softw., 2024)

Understanding the Helpfulness of Stale Bot for Pull-Based Development: An Empirical Study of 20 Large Open-Source Projects. - SayedHassan Khatoonabadi; Diego Elias Costa; Suhaib Mujahid; Emad Shihab (ACM Trans. Softw. Eng. Methodol., 2024)

Predicting the First Response Latency of Maintainers and Contributors in Pull Requests. - SayedHassan Khatoonabadi; Ahmad Abdellatif; Diego Elias Costa; Emad Shihab (IEEE Trans. Software Eng., 2024)

The Software Librarian: Python Package Insights for Copilot. - Jasmine Latendresse; Naoures Day; SayedHassan Khatoonabadi; Emad Shihab (ICSE Companion, 2025)

RepoChat: An LLM-Powered Chatbot for GitHub Repository Question-Answering. - Samuel Abedu; Laurine Menneron; SayedHassan Khatoonabadi; Emad Shihab (MSR, 2025)

A Machine Learning-Based Approach For Detecting Malicious PyPI Packages. - Haya Samaana; Diego Elias Costa; Emad Shihab; Ahmad Abdellatif (SAC, 2025)

An Exploratory Study on Machine Learning Model Management. - Jasmine Latendresse; Samuel Abedu; Ahmad Abdellatif; Emad Shihab (ACM Trans. Softw. Eng. Methodol., 2025)

A Large-scale Class-level Benchmark Dataset for Code Generation with LLMs. - Musfiqur Rahman; SayedHassan Khatoonabadi; Emad Shihab (CoRR, 2025)

Evaluating the Use of LLMs for Documentation to Code Traceability. - Ebube Alor; SayedHassan Khatoonabadi; Emad Shihab (CoRR, 2025)

Opportunities and security risks of technical leverage: A replication study on the NPM ecosystem. - Haya Samaana; Diego Elias Costa; Ahmad Abdellatif; Emad Shihab (Empir. Softw. Eng., 2025)

How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow. - Jasmine Latendresse; SayedHassan Khatoonabadi; Emad Shihab (CoRR, 2025)

Automated File-Level Logging Generation for Machine Learning Applications using LLMs: A Case Study using GPT-4o Mini. - Mayra Sofia Ruiz Rodriguez; SayedHassan Khatoonabadi; Emad Shihab (CoRR, 2025)

The Impact of Large Language Models (LLMs) on Code Review Process. - Antonio Collante; Samuel Abedu; SayedHassan Khatoonabadi; Ahmad Abdellatif; Ebube Alor; Emad Shihab (CoRR, 2025)