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Diego Costa 0001
Diego Elias Costa – Diego Elias Damasceno Costa – Diego Elias 0001
Person information
- affiliation: Concordia University, Montreal, QC, Canada
- affiliation (PhD 2019): Heidelberg University, Gremany
- affiliation (former): Federal University of Uberlândia, Brazil
Other persons with the same name
- Diego Costa 0002 — UNIFACS, Salvador, BA, Brazil
- Diego Costa 0003
(aka: Diego Pereira Costa 0003) — State University of Feira de Santana, Brazil
- Diego Costa 0004 (aka: Diego Ivo Campos Costa) — State University of Ceará, Fortaleza, Brazil
- Diego Costa 0005 — Catholic University of Uruguay, Montevideo, Uruguay
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Books and Theses
- 2019
- [b1]Diego Elias Damasceno Costa:
Benchmark-driven Software Performance Optimization. University of Heidelberg, Germany, 2019
Journal Articles
- 2025
- [j20]Haya Samaana
Opportunities and security risks of technical leverage: A replication study on the NPM ecosystem. Empir. Softw. Eng. 30(3): 96 (2025) - 2024
- [j19]Ahmad Abdellatif
SE4AI: A Training Program Considering Technical, Social, and Professional Aspects of AI-Based Software Systems. IEEE Softw. 41(2): 44-51 (2024) - [j18]SayedHassan Khatoonabadi
Understanding the Helpfulness of Stale Bot for Pull-Based Development: An Empirical Study of 20 Large Open-Source Projects. ACM Trans. Softw. Eng. Methodol. 33(2): 36:1-36:43 (2024) - [j17]SayedHassan Khatoonabadi
Predicting the First Response Latency of Maintainers and Contributors in Pull Requests. IEEE Trans. Software Eng. 50(10): 2529-2543 (2024) - 2023
- [j16]Khaled Badran
Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness? Computer 56(4): 71-79 (2023) - [j15]Mahmoud Alfadel
Empirical analysis of security vulnerabilities in Python packages. Empir. Softw. Eng. 28(3): 59 (2023) - [j14]Mahmoud Alfadel, Nicholas Alexandre Nagy, Diego Elias Costa
Empirical analysis of security-related code reviews in npm packages. J. Syst. Softw. 203: 111752 (2023) - [j13]SayedHassan Khatoonabadi
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) - [j12]Mahmoud Alfadel
On the Discoverability of npm Vulnerabilities in Node.js Projects. ACM Trans. Softw. Eng. Methodol. 32(4): 91:1-91:27 (2023) - [j11]Abbas Javan Jafari
Dependency Update Strategies and Package Characteristics. ACM Trans. Softw. Eng. Methodol. 32(6): 149:1-149:29 (2023) - 2022
- [j10]Simon Eismann
A case study on the stability of performance tests for serverless applications. J. Syst. Softw. 189: 111294 (2022) - [j9]Mohamed Elshafei
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) - [j8]Suhaib Mujahid
Toward Using Package Centrality Trend to Identify Packages in Decline. IEEE Trans. Engineering Management 69(6): 3618-3632 (2022) - [j7]Diego Elias Costa
Breaking Type Safety in Go: An Empirical Study on the Usage of the unsafe Package. IEEE Trans. Software Eng. 48(7): 2277-2294 (2022) - [j6]Ahmad Abdellatif
A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering. IEEE Trans. Software Eng. 48(8): 3087-3102 (2022) - [j5]Abbas Javan Jafari
Dependency Smells in JavaScript Projects. IEEE Trans. Software Eng. 48(10): 3790-3807 (2022) - 2021
- [j4]Mohamed Elshafei
On the Impact of Biceps Muscle Fatigue in Human Activity Recognition. Sensors 21(4): 1070 (2021) - [j3]Mahsa Sadat Afzali Arani, Diego Elias Costa
Human Activity Recognition: A Comparative Study to Assess the Contribution Level of Accelerometer, ECG, and PPG Signals. Sensors 21(21): 6997 (2021) - [j2]Diego Costa
What's Wrong with My Benchmark Results? Studying Bad Practices in JMH Benchmarks. IEEE Trans. Software Eng. 47(7): 1452-1467 (2021) - 2020
- [j1]Mohammadreza Ghanavati
Memory and resource leak defects and their repairs in Java projects. Empir. Softw. Eng. 25(1): 678-718 (2020)
Conference and Workshop Papers
- 2025
- [c29]Lizhi Liao, Simon Eismann, Heng Li, Cor-Paul Bezemer, Diego Elias Costa, André van Hoorn, Weiyi Shang:
Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models. ICSE 2025: 2841-2853 - [c28]Mostafa Jangali, Kundi Yao, Yiming Tang, Diego Elias Costa, Weiyi Shang:
Batch Execution of Microbenchmarks for Efficient Performance Testing. ICST 2025: 603-607 - [c27]Haya Samaana
A Machine Learning-Based Approach For Detecting Malicious PyPI Packages. SAC 2025: 1617-1626 - [c26]Genevieve Caumartin, Qiaolin Qin, Sharon Chatragadda, Janmitsinh Panjrolia, Heng Li, Diego Elias Costa:
Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study. SANER 2025: 681-692 - [c25]Mohamed Bilel Besbes
A Dataset of Performance Measurements and Alerts from Mozilla (Data Artifact). ICPE (Companion) 2025: 16-20 - 2024
- [c24]Ahmad Abdellatif
A Transformer-based Approach for Augmenting Software Engineering Chatbots Datasets. ESEM 2024: 359-370 - [c23]Suhaib Mujahid
Predicting the Impact of Crashes Across Release Channels. MSR 2024: 138-139 - [c22]Rachna Raj
The role of library versions in Developer-ChatGPT conversations. MSR 2024: 172-176 - 2023
- [c21]Riya Dutta, Diego Elias Costa, Emad Shihab, Tanja Tajmel:
Diversity Awareness in Software Engineering Participant Research. ICSE (SEIS) 2023: 120-131 - [c20]Sharon Chee Yin Ho, Vahid Majdinasab, Mohayeminul Islam, Diego Elias Costa, Emad Shihab, Foutse Khomh, Sarah Nadi, Muhammad Raza:
An Empirical Study on Bugs Inside PyTorch: A Replication Study. ICSME 2023: 220-231 - [c19]Suhaib Mujahid, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab:
Where to Go Now? Finding Alternatives for Declining Packages in the npm Ecosystem. ASE 2023: 1628-1639 - 2022
- [c18]Jasmine Latendresse, Suhaib Mujahid, Diego Elias Costa
Not All Dependencies are Equal: An Empirical Study on Production Dependencies in NPM. ASE 2022: 73:1-73:12 - [c17]Patrick Ayoup, Diego Elias Costa, Emad Shihab:
Achievement unlocked: a case study on gamifying DevOps practices in industry. ESEC/SIGSOFT FSE 2022: 1343-1354 - [c16]Stan Zajdel, Diego Elias Costa, Hafedh Mili:
Open source software: an approach to controlling usage and risk in application ecosystems. SPLC (A) 2022: 154-163 - 2021
- [c15]Joshua Nostas
How Do Developers Use the Java Stream API? ICCSA (7) 2021: 323-335 - [c14]Mahmoud Alfadel, Diego Elias Costa
On the Use of Dependabot Security Pull Requests. MSR 2021: 254-265 - [c13]Jasmine Latendresse, Rabe Abdalkareem
How Effective is Continuous Integration in Indicating Single-Statement Bugs? MSR 2021: 500-504 - [c12]Mahmoud Alfadel, Diego Elias Costa
Empirical Analysis of Security Vulnerabilities in Python Packages. SANER 2021: 446-457 - 2020
- [c11]Ahmad Abdellatif, Diego Costa
Challenges in Chatbot Development: A Study of Stack Overflow Posts. MSR 2020: 174-185 - 2019
- [c10]Artur Andrzejak, Kevin Kiefer, Diego Elias Costa
Agile construction of data science DSLs (tool demo). GPCE 2019: 27-33 - [c9]Juan Pablo Sandoval Alcocer
Enhancing Commit Graphs with Visual Runtime Clues. VISSOFT 2019: 28-32 - 2018
- [c8]Diego Costa
CollectionSwitch: a framework for efficient and dynamic collection selection. CGO 2018: 16-26 - [c7]Andreas Spitz, Diego Costa
Heterogeneous subgraph features for information networks. GRADES/NDA@SIGMOD/PODS 2018: 7:1-7:9 - [c6]Mohammadreza Ghanavati, Diego Costa
Memory and resource leak defects in Java Projects: an empirical study. ICSE (Companion Volume) 2018: 410-411 - 2017
- [c5]Diego Costa
Empirical Study of Usage and Performance of Java Collections. ICPE 2017: 389-400 - 2016
- [c4]Zhen Dong, Artur Andrzejak, David Lo
ORPLocator: Identifying Read Points of Configuration Options via Static Analysis. ISSRE 2016: 185-195 - 2015
- [c3]Diego Costa
Characterization of Dynamic Memory Allocations in Real-World Applications: An Experimental Study. MASCOTS 2015: 93-101 - 2014
- [c2]Diego Elias, Rivalino Matias, Marcia Fernandes, Lucio Borges de Araujo:
Experimental and theoretical analyses of memory allocation algorithms. SAC 2014: 1545-1546 - [c1]Rivalino Matias, Artur Andrzejak, Fumio Machida, Diego Elias, Kishor S. Trivedi:
A Systematic Differential Analysis for Fast and Robust Detection of Software Aging. SRDS 2014: 311-320
Informal and Other Publications
- 2025
- [i30]Mohamed Bilel Besbes, Diego Elias Costa, Suhaib Mujahid, Gregory W. Mierzwinski, Marco Castelluccio:
A Dataset of Performance Measurements and Alerts from Mozilla (Data Artifact). CoRR abs/2503.16332 (2025) - [i29]Seif Mzoughi, Ahmed Haj Yahmed, Mohamed Elshafei, Foutse Khomh, Diego Elias Costa:
Towards Assessing Deep Learning Test Input Generators. CoRR abs/2504.02329 (2025) - [i28]Matin Koohjani, Diego Elias Costa:
Exploring the Lifecycle and Maintenance Practices of Pre-Trained Models in Open-Source Software Repositories. CoRR abs/2504.06040 (2025) - 2024
- [i27]Suhaib Mujahid, Diego Elias Costa, Marco Castelluccio:
Predicting the Impact of Crashes Across Release Channels. CoRR abs/2401.13667 (2024) - [i26]Rachna Raj, Diego Elias Costa:
The role of library versions in Developer-ChatGPT conversations. CoRR abs/2401.16340 (2024) - [i25]Ahmad Abdellatif, Khaled Badran, Diego Elias Costa, Emad Shihab:
A Transformer-based Approach for Augmenting Software Engineering Chatbots Datasets. CoRR abs/2407.11955 (2024) - [i24]Lizhi Liao, Simon Eismann, Heng Li, Cor-Paul Bezemer, Diego Elias Costa, André van Hoorn, Weiyi Shang:
Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models. CoRR abs/2408.08148 (2024) - [i23]Genevieve Caumartin, Qiaolin Qin, Sharon Chatragadda, Janmitsinh Panjrolia, Heng Li, Diego Elias Costa:
Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study. CoRR abs/2412.02789 (2024) - [i22]Haya Samaana, Diego Elias Costa, Emad Shihab, Ahmad Abdellatif:
A Machine Learning-Based Approach For Detecting Malicious PyPI Packages. CoRR abs/2412.05259 (2024) - [i21]Haya Samaana, Diego Elias Costa, Ahmad Abdellatif, Emad Shihab:
Opportunities and Security Risks of Technical Leverage: A Replication Study on the NPM Ecosystem. CoRR abs/2412.06948 (2024) - 2023
- [i20]Riya Dutta, Diego Elias Costa, Emad Shihab, Tanja Tajmel:
Diversity Awareness in Software Engineering Participant Research. CoRR abs/2302.00042 (2023) - [i19]Abbas Javan Jafari, Diego Elias Costa, Emad Shihab, Rabe Abdalkareem:
Dependency Update Strategies and Package Characteristics. CoRR abs/2305.15675 (2023) - [i18]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) - [i17]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) - [i16]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) - [i15]Abbas Javan Jafari, Diego Elias Costa, Ahmad Abdellatif, Emad Shihab:
Dependency Practices for Vulnerability Mitigation. CoRR abs/2310.07847 (2023) - [i14]SayedHassan Khatoonabadi, Ahmad Abdellatif, Diego Elias Costa, Emad Shihab:
Predicting the First Response Latency of Maintainers and Contributors in Pull Requests. CoRR abs/2311.07786 (2023) - 2022
- [i13]Stan Zajdel, Diego Elias Costa, Hafedh Mili:
Open Source Software: An Approach to Controlling Usage and Risk in Application Ecosystems. CoRR abs/2206.10358 (2022) - [i12]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) - [i11]Patrick Ayoup, Diego Elias Costa, Emad Shihab:
Achievement Unlocked: A Case Study on Gamifying DevOps Practices in Industry. CoRR abs/2208.05860 (2022) - [i10]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
- [i9]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) - [i8]Simon Eismann, Diego Elias Costa, Lizhi Liao, Cor-Paul Bezemer, Weiyi Shang, André van Hoorn, Samuel Kounev:
A Case Study on the Stability of Performance Tests for Serverless Applications. CoRR abs/2107.13320 (2021) - [i7]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
- [i6]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) - [i5]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) - [i4]Abbas Javan Jafari, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab, Nikolaos Tsantalis:
Dependency Smells in JavaScript Projects. CoRR abs/2010.14573 (2020) - [i3]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) - 2019
- [i2]Artur Andrzejak, Oliver Wenz, Diego Costa:
One DSL to Rule Them All: IDE-Assisted Code Generation for Agile Data Analysis. CoRR abs/1904.09818 (2019) - 2018
- [i1]Mohammadreza Ghanavati, Diego Costa, Janos Seboek, David Lo, Artur Andrzejak:
Memory and Resource Leak Defects and their Repairs in Java Projects. CoRR abs/1810.00101 (2018)
Coauthor Index
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