Experimental and theoretical analyses of memory allocation algorithms. - Diego Elias 001; Rivalino Matias; Marcia Fernandes; Lucio Borges de Araujo (SAC, 2014)

A Systematic Differential Analysis for Fast and Robust Detection of Software Aging. - Rivalino Matias; Artur Andrzejak 001; Fumio Machida; Diego Elias 001; Kishor S. Trivedi (SRDS, 2014)

Characterization of Dynamic Memory Allocations in Real-World Applications: An Experimental Study. - Diego Costa 001; Rivalino Matias Jr. (MASCOTS, 2015)

ORPLocator: Identifying Read Points of Configuration Options via Static Analysis. - Zhen Dong 004; Artur Andrzejak 001; David Lo 001; Diego Costa 001 (ISSRE, 2016)

Empirical Study of Usage and Performance of Java Collections. - Diego Costa 001; Artur Andrzejak 001; Janos Seboek; David Lo 001 (ICPE, 2017)

CollectionSwitch: a framework for efficient and dynamic collection selection. - Diego Costa 001; Artur Andrzejak 001 (CGO, 2018)

Heterogeneous subgraph features for information networks. - Andreas Spitz; Diego Costa 001; Kai Chen; Jan Greulich; Johanna Geiß; Stefan Wiesberg; Michael Gertz 001 (GRADES/NDA@SIGMOD/PODS, 2018)

Memory and resource leak defects in Java Projects: an empirical study. - Mohammadreza Ghanavati; Diego Costa 001; Artur Andrzejak 001; Janos Seboek (ICSE (Companion Volume), 2018)

Agile construction of data science DSLs (tool demo). - Artur Andrzejak 001; Kevin Kiefer; Diego Elias Costa; Oliver Wenz (GPCE, 2019)

Enhancing Commit Graphs with Visual Runtime Clues. - Juan Pablo Sandoval Alcocer; Harold Camacho Jaimes; Diego Costa 001; Alexandre Bergel; Fabian Beck 001 (VISSOFT, 2019)

One DSL to Rule Them All: IDE-Assisted Code Generation for Agile Data Analysis. - Artur Andrzejak 001; Oliver Wenz; Diego Costa 001 (CoRR, 2019)

Benchmark-driven Software Performance Optimization. - Diego Elias Damasceno Costa (2019)

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

Memory and resource leak defects and their repairs in Java projects. - Mohammadreza Ghanavati; Diego Costa 001; Janos Seboek; David Lo 001; Artur Andrzejak 001 (Empir. Softw. Eng., 2020)

How Do Developers Use the Java Stream API? - Joshua Nostas; Juan Pablo Sandoval Alcocer; Diego Elias Costa; Alexandre Bergel (ICCSA (7), 2021)

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)

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)

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)

What's Wrong with My Benchmark Results? Studying Bad Practices in JMH Benchmarks. - Diego Costa 001; Cor-Paul Bezemer; Philipp Leitner 001; Artur Andrzejak 001 (IEEE Trans. Software Eng., 2021)

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

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

Open source software: an approach to controlling usage and risk in application ecosystems. - Stan Zajdel; Diego Elias Costa; Hafedh Mili (SPLC (A), 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)

A case study on the stability of performance tests for serverless applications. - Simon Eismann; Diego Elias Costa; Lizhi Liao; Cor-Paul Bezemer; Weiyi Shang; André van Hoorn; Samuel Kounev (J. Syst. Softw., 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)

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)

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)

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)

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

Predicting the Impact of Crashes Across Release Channels. - Suhaib Mujahid; Diego Elias Costa; Marco Castelluccio (MSR, 2024)

The role of library versions in Developer-ChatGPT conversations. - Rachna Raj; Diego Elias Costa (MSR, 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)

Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models. - Lizhi Liao; Simon Eismann; Heng Li 007; Cor-Paul Bezemer; Diego Elias Costa; André van Hoorn; Weiyi Shang (ICSE, 2025)

Batch Execution of Microbenchmarks for Efficient Performance Testing. - Mostafa Jangali; Kundi Yao; Yiming Tang 002; Diego Elias Costa; Weiyi Shang (ICST, 2025)

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

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study. - Genevieve Caumartin; Qiaolin Qin; Sharon Chatragadda; Janmitsinh Panjrolia; Heng Li 007; Diego Elias Costa (SANER, 2025)

A Dataset of Performance Measurements and Alerts from Mozilla (Data Artifact). - Mohamed Bilel Besbes; Diego Elias Costa; Suhaib Mujahid; Gregory W. Mierzwinski; Marco Castelluccio (ICPE (Companion), 2025)

Towards Assessing Deep Learning Test Input Generators. - Seif Mzoughi; Ahmed Haj Yahmed; Mohamed Elshafei; Foutse Khomh; Diego Elias Costa (CoRR, 2025)

Exploring the Lifecycle and Maintenance Practices of Pre-Trained Models in Open-Source Software Repositories. - Matin Koohjani; Diego Elias Costa (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)