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ORCIDEmad Shihab
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- affiliation: Rochester Institute of Technology, Department of Software Engineering
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2020 – today
- 2023
[j56]Khaled Badran
, Pierre-Olivier Côté, Amanda Kolopanis, Rached Bouchoucha, Antonio Collante, Diego Elias Costa, Emad Shihab, Foutse Khomh:
Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness? Computer 56(4): 71-79 (2023)- [j55]Mahmoud Alfadel, Diego Elias Costa, Emad Shihab:
Empirical analysis of security vulnerabilities in Python packages. Empir. Softw. Eng. 28(3): 59 (2023) - [j54]Suhaib Mujahid, Rabe Abdalkareem, Emad Shihab:
What are the characteristics of highly-selected packages? A case study on the npm ecosystem. J. Syst. Softw. 198: 111588 (2023) - [j53]Mahmoud Alfadel, Nicholas Alexandre Nagy, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab:
Empirical analysis of security-related code reviews in npm packages. J. Syst. Softw. 203: 111752 (2023) - [j52]SayedHassan Khatoonabadi, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab:
On Wasted Contributions: Understanding the Dynamics of Contributor-Abandoned Pull Requests-A Mixed-Methods Study of 10 Large Open-Source Projects. ACM Trans. Softw. Eng. Methodol. 32(1): 15:1-15:39 (2023) - [j51]Mahmoud Alfadel, Diego Elias Costa, Emad Shihab, Bram Adams:
On the Discoverability of npm Vulnerabilities in Node.js Projects. ACM Trans. Softw. Eng. Methodol. 32(4): 91:1-91:27 (2023) - [c64]Riya Dutta, Diego Elias Costa, Emad Shihab, Tanja Tajmel:
Diversity Awareness in Software Engineering Participant Research. ICSE (SEIS) 2023: 120-131 - [i23]Riya Dutta, Diego Elias Costa, Emad Shihab, Tanja Tajmel:
Diversity Awareness in Software Engineering Participant Research. CoRR abs/2302.00042 (2023) - [i22]Abbas Javan Jafari, Diego Elias Costa, Emad Shihab, Rabe Abdalkareem:
Dependency Update Strategies and Package Characteristics. CoRR abs/2305.15675 (2023) - [i21]SayedHassan Khatoonabadi, Diego Elias Costa, Suhaib Mujahid, Emad Shihab:
Understanding the Helpfulness of Stale Bot for Pull-based Development: An Empirical Study of 20 Large Open-Source Projects. CoRR abs/2305.18150 (2023) - [i20]Vahid Majdinasab, Sharon Chee Yin Ho, Mohayeminul Islam, Diego Elias Costa, Emad Shihab, Foutse Khomh, Sarah Nadi, Muhammad Raza:
An Empirical Study on Bugs Inside PyTorch: A Replication Study. CoRR abs/2307.13777 (2023) - [i19]Suhaib Mujahid, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab:
Where to Go Now? Finding Alternatives for Declining Packages in the npm Ecosystem. CoRR abs/2308.08667 (2023) - 2022
- [j50]Yutaro Kashiwa, Ryoma Nishikawa, Yasutaka Kamei, Masanari Kondo, Emad Shihab, Ryosuke Sato, Naoyasu Ubayashi:
An empirical study on self-admitted technical debt in modern code review. Inf. Softw. Technol. 146: 106855 (2022) - [j49]Mohamed Elshafei, Diego Elias Costa, Emad Shihab:
Toward the Personalization of Biceps Fatigue Detection Model for Gym Activity: An Approach to Utilize Wearables' Data from the Crowd. Sensors 22(4): 1454 (2022) - [j48]Emad Shihab, Stefan Wagner, Marco Aurélio Gerosa, Mairieli Santos Wessel, Jordi Cabot:
The Present and Future of Bots in Software Engineering. IEEE Softw. 39(5): 28-31 (2022) - [j47]Suhaib Mujahid, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab, Mohamed Aymen Saied, Bram Adams:
Toward Using Package Centrality Trend to Identify Packages in Decline. IEEE Trans. Engineering Management 69(6): 3618-3632 (2022) - [j46]Jinfu Chen, Weiyi Shang, Emad Shihab:
PerfJIT: Test-Level Just-in-Time Prediction for Performance Regression Introducing Commits. IEEE Trans. Software Eng. 48(5): 1529-1544 (2022) - [j45]Diego Elias Costa, Suhaib Mujahid, Rabe Abdalkareem, Emad Shihab:
Breaking Type Safety in Go: An Empirical Study on the Usage of the unsafe Package. IEEE Trans. Software Eng. 48(7): 2277-2294 (2022) - [j44]Md Atique Reza Chowdhury, Rabe Abdalkareem, Emad Shihab, Bram Adams:
On the Untriviality of Trivial Packages: An Empirical Study of npm JavaScript Packages. IEEE Trans. Software Eng. 48(8): 2695-2708 (2022) - [j43]Ahmad Abdellatif, Khaled Badran, Diego Elias Costa, Emad Shihab:
A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering. IEEE Trans. Software Eng. 48(8): 3087-3102 (2022) - [j42]Abbas Javan Jafari, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab, Nikolaos Tsantalis:
Dependency Smells in JavaScript Projects. IEEE Trans. Software Eng. 48(10): 3790-3807 (2022) - [c63]Mairieli Santos Wessel, Ahmad Abdellatif, Igor Wiese, Tayana Conte, Emad Shihab, Marco Aurélio Gerosa, Igor Steinmacher:
Bots for Pull Requests: The Good, the Bad, and the Promising. ICSE 2022: 274-286 - [c62]Jasmine Latendresse, Suhaib Mujahid, Diego Elias Costa, Emad Shihab:
Not All Dependencies are Equal: An Empirical Study on Production Dependencies in NPM. ASE 2022: 73:1-73:12 - [c61]Ahmad Abdellatif, Mairieli Santos Wessel, Igor Steinmacher, Marco Aurélio Gerosa, Emad Shihab:
BotHunter: An Approach to Detect Software Bots in GitHub. MSR 2022: 6-17 - [c60]Mairieli Santos Wessel, Marco Aurélio Gerosa, Emad Shihab:
Software Bots in Software Engineering: Benefits and Challenges. MSR 2022: 724-725 - [c59]David O'Brien, Sumon Biswas, Sayem Imtiaz, Rabe Abdalkareem, Emad Shihab, Hridesh Rajan:
23 shades of self-admitted technical debt: an empirical study on machine learning software. ESEC/SIGSOFT FSE 2022: 734-746 - [c58]Patrick Ayoup, Diego Elias Costa, Emad Shihab:
Achievement unlocked: a case study on gamifying DevOps practices in industry. ESEC/SIGSOFT FSE 2022: 1343-1354 - [i18]Suhaib Mujahid, Rabe Abdalkareem, Emad Shihab:
What are the characteristics of highly-selected packages? A case study on the npm ecosystem. CoRR abs/2204.04562 (2022) - [i17]Rabe Abdalkareem, Md Atique Reza Chowdhury, Emad Shihab:
A Machine Learning Approach to Determine the Semantic Versioning Type of npm Packages Releases. CoRR abs/2204.05929 (2022) - [i16]Emad Shihab, Stefan Wagner, Marco Aurélio Gerosa, Mairieli Santos Wessel, Jordi Cabot:
The Present and Future of Bots in Software Engineering. CoRR abs/2207.01254 (2022) - [i15]Jasmine Latendresse, Suhaib Mujahid, Diego Elias Costa, Emad Shihab:
Not All Dependencies are Equal: An Empirical Study on Production Dependencies in NPM. CoRR abs/2207.14711 (2022) - [i14]Patrick Ayoup, Diego Elias Costa, Emad Shihab:
Achievement Unlocked: A Case Study on Gamifying DevOps Practices in Industry. CoRR abs/2208.05860 (2022) - [i13]Khaled Badran, Pierre-Olivier Côté, Amanda Kolopanis, Rached Bouchoucha, Antonio Collante, Diego Elias Costa, Emad Shihab, Foutse Khomh:
Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness? CoRR abs/2212.02614 (2022) - 2021
- [j41]Juan Hoyos, Rabe Abdalkareem, Suhaib Mujahid, Emad Shihab, Albeiro Espinosa Bedoya:
On the Removal of Feature Toggles. Empir. Softw. Eng. 26(1): 15 (2021) - [j40]Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
An exploratory study on the introduction and removal of different types of technical debt in deep learning frameworks. Empir. Softw. Eng. 26(2): 16 (2021) - [j39]Xiaowei Chen, Rabe Abdalkareem, Suhaib Mujahid, Emad Shihab, Xin Xia:
Helping or not helping? Why and how trivial packages impact the npm ecosystem. Empir. Softw. Eng. 26(2): 27 (2021) - [j38]Mohamed Elshafei, Emad Shihab:
Towards Detecting Biceps Muscle Fatigue in Gym Activity Using Wearables. Sensors 21(3): 759 (2021) - [j37]Mohamed Elshafei, Diego Elias Costa, Emad Shihab:
On the Impact of Biceps Muscle Fatigue in Human Activity Recognition. Sensors 21(4): 1070 (2021) - [j36]Mahsa Sadat Afzali Arani, Diego Elias Costa, Emad Shihab:
Human Activity Recognition: A Comparative Study to Assess the Contribution Level of Accelerometer, ECG, and PPG Signals. Sensors 21(21): 6997 (2021) - [j35]Emad Shihab, Stefan Wagner, Marco Aurélio Gerosa:
Summary of the 2nd International Workshop on Bots in Software Engineering (BotSE 2020). ACM SIGSOFT Softw. Eng. Notes 46(1): 20-22 (2021) - [j34]Rabe Abdalkareem, Suhaib Mujahid, Emad Shihab, Juergen Rilling:
Which Commits Can Be CI Skipped? IEEE Trans. Software Eng. 47(3): 448-463 (2021) - [j33]Rabe Abdalkareem, Suhaib Mujahid, Emad Shihab:
A Machine Learning Approach to Improve the Detection of CI Skip Commits. IEEE Trans. Software Eng. 47(12): 2740-2754 (2021) - [c57]Mahmoud Alfadel, Diego Elias Costa, Emad Shihab, Mouafak Mkhallalati:
On the Use of Dependabot Security Pull Requests. MSR 2021: 254-265 - [c56]Jasmine Latendresse, Rabe Abdalkareem, Diego Elias Costa, Emad Shihab:
How Effective is Continuous Integration in Indicating Single-Statement Bugs? MSR 2021: 500-504 - [c55]Mahmoud Alfadel, Diego Elias Costa, Emad Shihab:
Empirical Analysis of Security Vulnerabilities in Python Packages. SANER 2021: 446-457 - [i12]Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
An Exploratory Study on the Introduction and Removal of Different Types of Technical Debt. CoRR abs/2101.03730 (2021) - [i11]Suhaib Mujahid, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab, Mohamed Aymen Saied, Bram Adams:
Towards Using Package Centrality Trend to Identify Packages in Decline. CoRR abs/2107.10168 (2021) - [i10]SayedHassan Khatoonabadi, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab:
On Wasted Contributions: Understanding the Dynamics of Contributor-Abandoned Pull Requests. CoRR abs/2110.15447 (2021) - 2020
- [j32]Rabe Abdalkareem, Vinicius Oda, Suhaib Mujahid, Emad Shihab:
On the impact of using trivial packages: an empirical case study on npm and PyPI. Empir. Softw. Eng. 25(2): 1168-1204 (2020) - [j31]Ahmad Abdellatif, Khaled Badran, Emad Shihab:
MSRBot: Using bots to answer questions from software repositories. Empir. Softw. Eng. 25(3): 1834-1863 (2020) - [j30]Junxiao Han, Emad Shihab, Zhiyuan Wan, Shuiguang Deng, Xin Xia:
What do Programmers Discuss about Deep Learning Frameworks. Empir. Softw. Eng. 25(4): 2694-2747 (2020) - [j29]Ahmad Abdellatif, Yi Zeng, Mohamed Elshafei, Emad Shihab, Weiyi Shang:
Simplifying the Search of npm Packages. Inf. Softw. Technol. 126: 106365 (2020) - [c54]Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
Is using deep learning frameworks free?: characterizing technical debt in deep learning frameworks. ICSE-SEIS 2020: 1-10 - [c53]Ahmad Abdellatif, Diego Costa, Khaled Badran, Rabe Abdalkareem, Emad Shihab:
Challenges in Chatbot Development: A Study of Stack Overflow Posts. MSR 2020: 174-185 - [c52]Suhaib Mujahid, Rabe Abdalkareem, Emad Shihab, Shane McIntosh:
Using Others' Tests to Identify Breaking Updates. MSR 2020: 466-476 - [i9]Diego Elias Costa, Suhaib Mujahid, Rabe Abdalkareem, Emad Shihab:
Breaking Type-Safety in Go: An Empirical Study on the Usage of the unsafe Package. CoRR abs/2006.09973 (2020) - [i8]Mahmoud Alfadel, Diego Elias Costa, Mouafak Mkhallalati, Emad Shihab, Bram Adams:
On the Threat of npm Vulnerable Dependencies in Node.js Applications. CoRR abs/2009.09019 (2020) - [i7]Abbas Javan Jafari, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab, Nikolaos Tsantalis:
Dependency Smells in JavaScript Projects. CoRR abs/2010.14573 (2020) - [i6]Ahmad Abdellatif, Khaled Badran, Diego Elias Costa, Emad Shihab:
A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering. CoRR abs/2012.02640 (2020)
2010 – 2019
- 2019
- [j28]Md Tajmilur Rahman, Peter C. Rigby, Emad Shihab:
The modular and feature toggle architectures of Google Chrome. Empir. Softw. Eng. 24(2): 826-853 (2019) - [j27]David Bowes, Emad Shihab, Burak Turhan:
Guest editorial: special section on predictive models and data analytics in software engineering. Empir. Softw. Eng. 24(5): 3151-3152 (2019) - [j26]Giancarlo Sierra, Emad Shihab, Yasutaka Kamei:
A survey of self-admitted technical debt. J. Syst. Softw. 152: 70-82 (2019) - [j25]Akbar Dehghani, Omid Sarbishei, Tristan Glatard, Emad Shihab:
A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors. Sensors 19(22): 5026 (2019) - [j24]Meng Yan, Xin Xia, Emad Shihab, David Lo, Jianwei Yin, Xiaohu Yang:
Automating Change-Level Self-Admitted Technical Debt Determination. IEEE Trans. Software Eng. 45(12): 1211-1229 (2019) - [c51]George G. Cabral, Leandro L. Minku, Emad Shihab, Suhaib Mujahid:
Class imbalance evolution and verification latency in just-in-time software defect prediction. ICSE 2019: 666-676 - [c50]Hosein Nourani, Emad Shihab, Omid Sarbishei:
The Impact of Data Reduction on Wearable-Based Human Activity Recognition. PerCom Workshops 2019: 89-94 - [c49]Giancarlo Sierra, Ahmad Tahmid, Emad Shihab, Nikolaos Tsantalis:
Is Self-Admitted Technical Debt a Good Indicator of Architectural Divergences? SANER 2019: 534-543 - [c48]Xinyu Wang, David Lo, Emad Shihab, Xin Xia:
Message from the General Chair, Program Co-Chairs, and Local Chair. SANER 2019: iii-iv - [e5]Emad Shihab, Stefan Wagner:
Proceedings of the 1st International Workshop on Bots in Software Engineering, BotSE@ICSE 2019, Montreal, QC, Canada, May 28, 2019. IEEE / ACM 2019, ISBN 978-1-7281-2262-5 [contents] - [e4]Xinyu Wang, David Lo, Emad Shihab:
26th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2019, Hangzhou, China, February 24-27, 2019. IEEE 2019, ISBN 978-1-7281-0591-8 [contents] - [i5]Akbar Dehghani, Tristan Glatard, Emad Shihab:
Subject Cross Validation in Human Activity Recognition. CoRR abs/1904.02666 (2019) - [i4]Ahmad Abdellatif, Emad Shihab:
MSRBot: Using Bots to Answer Questions from Software Repositories. CoRR abs/1905.06991 (2019) - 2018
- [j23]Qiao Huang, Emad Shihab, Xin Xia, David Lo, Shanping Li:
Identifying self-admitted technical debt in open source projects using text mining. Empir. Softw. Eng. 23(1): 418-451 (2018) - [j22]Muhammad Moiz Arif, Weiyi Shang, Emad Shihab:
Empirical study on the discrepancy between performance testing results from virtual and physical environments. Empir. Softw. Eng. 23(3): 1490-1518 (2018) - [j21]Mehran Hassani, Weiyi Shang, Emad Shihab, Nikolaos Tsantalis:
Studying and detecting log-related issues. Empir. Softw. Eng. 23(6): 3248-3280 (2018) - [j20]Suhaib Mujahid, Giancarlo Sierra, Rabe Abdalkareem, Emad Shihab, Weiyi Shang:
An empirical study of Android Wear user complaints. Empir. Softw. Eng. 23(6): 3476-3502 (2018) - [j19]Harold Valdivia Garcia, Emad Shihab, Meiyappan Nagappan:
Characterizing and predicting blocking bugs in open source projects. J. Syst. Softw. 143: 44-58 (2018) - [c47]Jailton Coelho, Marco Túlio Valente, Luciana Lourdes Silva, Emad Shihab:
Identifying unmaintained projects in github. ESEM 2018: 15:1-15:10 - [c46]Zhongxin Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
SATD detector: a text-mining-based self-admitted technical debt detection tool. ICSE (Companion Volume) 2018: 9-12 - [c45]Muhammad Moiz Arif, Weiyi Shang, Emad Shihab:
Empirical study on the discrepancy between performance testing results from virtual and physical environments. ICSE 2018: 822 - [c44]Yue Cai Zhu, Emad Shihab, Peter C. Rigby:
Test Re-Prioritization in Continuous Testing Environments. ICSME 2018: 69-79 - [c43]Suhaib Mujahid, Rabe Abdalkareem, Emad Shihab:
Studying Permission Related Issues in Android Wearable Apps. ICSME 2018: 345-356 - [i3]Jailton Coelho, Marco Túlio Valente, Luciana Lourdes Silva, Emad Shihab:
Identifying Unmaintained Projects in GitHub. CoRR abs/1809.04041 (2018) - [i2]Hideaki Hata, Emad Shihab, Graham Neubig:
Learning to Generate Corrective Patches using Neural Machine Translation. CoRR abs/1812.07170 (2018) - 2017
- [j18]Ayse Tosun, Emad Shihab, Yasutaka Kamei:
Erratum to: Studying high impact fix-inducing changes. Empir. Softw. Eng. 22(2): 848 (2017) - [j17]Rabe Abdalkareem, Emad Shihab, Juergen Rilling:
On code reuse from StackOverflow: An exploratory study on Android apps. Inf. Softw. Technol. 88: 148-158 (2017) - [j16]Rabe Abdalkareem, Emad Shihab, Juergen Rilling:
What Do Developers Use the Crowd For? A Study Using Stack Overflow. IEEE Softw. 34(2): 53-60 (2017) - [j15]Everton da S. Maldonado, Emad Shihab, Nikolaos Tsantalis:
Using Natural Language Processing to Automatically Detect Self-Admitted Technical Debt. IEEE Trans. Software Eng. 43(11): 1044-1062 (2017) - [c42]Suhaib Mujahid, Giancarlo Sierra, Rabe Abdalkareem, Emad Shihab, Weiyi Shang:
Examining User Complaints of Wearable Apps: A Case Study on Android Wear. MOBILESoft@ICSE 2017: 96-99 - [c41]Everton da S. Maldonado, Rabe Abdalkareem, Emad Shihab, Alexander Serebrenik:
An Empirical Study on the Removal of Self-Admitted Technical Debt. ICSME 2017: 238-248 - [c40]Rabe Abdalkareem, Olivier Nourry, Sultan Wehaibi, Suhaib Mujahid, Emad Shihab:
Why do developers use trivial packages? an empirical case study on npm. ESEC/SIGSOFT FSE 2017: 385-395 - [e3]Burak Turhan, David Bowes, Emad Shihab:
Proceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2017, Toronto, Canada, November 8, 2017. ACM 2017, ISBN 978-1-4503-5305-2 [contents] - [e2]Federica Sarro, Emad Shihab, Meiyappan Nagappan, Marie Christin Platenius, Daniel Kaimann:
Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, WAMA@ESEC/SIGSOFT FSE 2017, Paderborn, Germany, September 5, 2017. ACM 2017, ISBN 978-1-4503-5158-4 [contents] - [i1]Emad Shihab, Akinori Ihara:
Mining Software Repositories:Accomplishments, Challenges andFuture Trends (NII Shonan Meeting 2017-2). NII Shonan Meet. Rep. 2017 (2017) - 2016
- [j14]Ayse Tosun Misirli, Emad Shihab, Yasutaka Kamei:
Studying high impact fix-inducing changes. Empir. Softw. Eng. 21(2): 605-641 (2016) - [j13]Christoffer Rosen, Emad Shihab:
What are mobile developers asking about? A large scale study using stack overflow. Empir. Softw. Eng. 21(3): 1192-1223 (2016) - [j12]Xin Xia, David Lo, Emad Shihab, Xinyu Wang:
Automated Bug Report Field Reassignment and Refinement Prediction. IEEE Trans. Reliab. 65(3): 1094-1113 (2016) - [c39]Yasutaka Kamei, Everton da S. Maldonado, Emad Shihab, Naoyasu Ubayashi:
Using Analytics to Quantify Interest of Self-Admitted Technical Debt. QuASoQ/TDA@APSEC 2016: 68-71 - [c38]Xin Xia, David Lo, Denzil Correa, Ashish Sureka, Emad Shihab:
It Takes Two to Tango: Deleted Stack Overflow Question Prediction with Text and Meta Features. COMPSAC 2016: 73-82 - [c37]Yu Zhao, Feng Zhang, Emad Shihab, Ying Zou, Ahmed E. Hassan:
How Are Discussions Associated with Bug Reworking?: An Empirical Study on Open Source Projects. ESEM 2016: 21:1-21:10 - [c36]Xin Xia, Emad Shihab, Yasutaka Kamei, David Lo, Xinyu Wang:
Predicting Crashing Releases of Mobile Applications. ESEM 2016: 29:1-29:10 - [c35]Meiyappan Nagappan, Emad Shihab:
Future Trends in Software Engineering Research for Mobile Apps. FOSE@SANER 2016: 21-32 - [c34]Yasutaka Kamei, Emad Shihab:
Defect Prediction: Accomplishments and Future Challenges. FOSE@SANER 2016: 33-45 - [c33]Sultan Wehaibi, Emad Shihab, Latifa Guerrouj:
Examining the Impact of Self-Admitted Technical Debt on Software Quality. SANER 2016: 179-188 - [p1]Meiyappan Nagappan, Emad Shihab:
Mobile app store analytics. Perspectives on Data Science for Software Engineering 2016: 47-49 - [e1]Meiyappan Nagappan, Federica Sarro, Emad Shihab:
Proceedings of the International Workshop on App Market Analytics, WAMA@SIGSOFT FSE, Seattle, WA, USA, November 14, 2016. ACM 2016, ISBN 978-1-4503-4398-5 [contents] - 2015
- [j11]Xin Xia, David Lo, Emad Shihab, Xinyu Wang, Bo Zhou:
Automatic, high accuracy prediction of reopened bugs. Autom. Softw. Eng. 22(1): 75-109 (2015) - [j10]Xin Xia, David Lo, Emad Shihab, Xinyu Wang, Xiaohu Yang:
ELBlocker: Predicting blocking bugs with ensemble imbalance learning. Inf. Softw. Technol. 61: 93-106 (2015) - [j9]Hammad Khalid, Emad Shihab, Meiyappan Nagappan, Ahmed E. Hassan:
What Do Mobile App Users Complain About? IEEE Softw. 32(3): 70-77 (2015) - [c32]Everton da S. Maldonado, Emad Shihab:
Detecting and quantifying different types of self-admitted technical Debt. MTD@ICSME 2015: 9-15 - [c31]Daniel E. Krutz, Samuel A. Malachowsky, Emad Shihab:
Examining the effectiveness of using concolic analysis to detect code clones. SAC 2015: 1610-1615 - [c30]Christoffer Rosen, Ben Grawi, Emad Shihab:
Commit guru: analytics and risk prediction of software commits. ESEC/SIGSOFT FSE 2015: 966-969 - [c29]Xin Xia, David Lo, Shane McIntosh, Emad Shihab, Ahmed E. Hassan:
Cross-project build co-change prediction. SANER 2015: 311-320 - 2014
- [c28]