A Large Scale Study of License Usage on GitHub. - Christopher Vendome (ICSE (2), 2015)

How developers detect and fix performance bottlenecks in Android apps. - Mario Linares Vásquez; Christopher Vendome; Qi Luo; Denys Poshyvanyk (ICSME, 2015)

When and why developers adopt and change software licenses. - Christopher Vendome; Mario Linares Vásquez; Gabriele Bavota; Massimiliano Di Penta; Daniel M. Germán; Denys Poshyvanyk (ICSME, 2015)

License usage and changes: a large-scale study of Java projects on GitHub. - Christopher Vendome; Mario Linares Vásquez; Gabriele Bavota; Massimiliano Di Penta; Daniel M. Germán; Denys Poshyvanyk (ICPC, 2015)

How do Developers Document Database Usages in Source Code? (N). - Mario Linares Vásquez; Boyang Li 002; Christopher Vendome; Denys Poshyvanyk (ASE, 2015)

Toward Deep Learning Software Repositories. - Martin White; Christopher Vendome; Mario Linares Vásquez; Denys Poshyvanyk (MSR, 2015)

Assisting developers with license compliance. - Christopher Vendome; Denys Poshyvanyk (ICSE (Companion Volume), 2016)

Automatically Documenting Unit Test Cases. - Boyang Li 002; Christopher Vendome; Mario Linares Vásquez; Denys Poshyvanyk; Nicholas A. Kraft (ICST, 2016)

Automatically Discovering, Reporting and Reproducing Android Application Crashes. - Kevin Moran; Mario Linares Vásquez; Carlos Bernal-Cárdenas; Christopher Vendome; Denys Poshyvanyk (ICST, 2016)

Documenting database usages and schema constraints in database-centric applications. - Mario Linares Vásquez; Boyang Li 002; Christopher Vendome; Denys Poshyvanyk (ISSTA, 2016)

Are unreachable methods harmful? Results from a controlled experiment. - Simone Romano 001; Christopher Vendome; Giuseppe Scanniello; Denys Poshyvanyk (ICPC, 2016)

Deep learning code fragments for code clone detection. - Martin White; Michele Tufano; Christopher Vendome; Denys Poshyvanyk (ASE, 2016)

CrashScope: a practical tool for automated testing of Android applications. - Kevin Moran; Mario Linares Vásquez; Carlos Bernal-Cárdenas; Christopher Vendome; Denys Poshyvanyk (ICSE (Companion Volume), 2017)

Machine learning-based detection of open source license exceptions. - Christopher Vendome; Mario Linares Vásquez; Gabriele Bavota; Massimiliano Di Penta; Daniel M. Germán; Denys Poshyvanyk (ICSE, 2017)

Automatically assessing code understandability: how far are we? - Simone Scalabrino; Gabriele Bavota; Christopher Vendome; Mario Linares Vásquez; Denys Poshyvanyk; Rocco Oliveto (ASE, 2017)

Enabling mutation testing for Android apps. - Mario Linares Vásquez; Gabriele Bavota; Michele Tufano; Kevin Moran; Massimiliano Di Penta; Christopher Vendome; Carlos Bernal-Cárdenas; Denys Poshyvanyk (ESEC/SIGSOFT FSE, 2017)

License usage and changes: a large-scale study on gitHub. - Christopher Vendome; Gabriele Bavota; Massimiliano Di Penta; Mario Linares Vásquez; Daniel M. Germán; Denys Poshyvanyk (Empir. Softw. Eng., 2017)

How developers micro-optimize Android apps. - Mario Linares Vásquez; Christopher Vendome; Michele Tufano; Denys Poshyvanyk (J. Syst. Softw., 2017)

MDroid+: a mutation testing framework for android. - Kevin Moran; Michele Tufano; Carlos Bernal-Cárdenas; Mario Linares Vásquez; Gabriele Bavota; Christopher Vendome; Massimiliano Di Penta; Denys Poshyvanyk (ICSE (Companion Volume), 2018)

To distribute or not to distribute?: why licensing bugs matter. - Christopher Vendome; Daniel M. Germán; Massimiliano Di Penta; Gabriele Bavota; Mario Linares Vásquez; Denys Poshyvanyk (ICSE, 2018)

Aiding comprehension of unit test cases and test suites with stereotype-based tagging. - Boyang Li 002; Christopher Vendome; Mario Linares-Vásquez; Denys Poshyvanyk (ICPC, 2018)

How developers micro-optimize Android apps (journal-first abstract). - Mario Linares Vásquez; Christopher Vendome; Michele Tufano; Denys Poshyvanyk (SANER, 2018)

Can Everyone use my app? An Empirical Study on Accessibility in Android Apps. - Christopher Vendome; Diana Solano; Santiago Liñán; Mario Linares-Vásquez (ICSME, 2019)

How do Modelers Code Artificial Societies? Investigating Practices and Quality of Netlogo Codes from Large Repositories. - Christopher Vendome; Dhananjai M. Rao; Philippe J. Giabbanelli (SpringSim, 2020)

A Multi-Study Investigation into Dead Code. - Simone Romano 001; Christopher Vendome; Giuseppe Scanniello; Denys Poshyvanyk (IEEE Trans. Software Eng., 2020)

Automatically Assessing Code Understandability. - Simone Scalabrino; Gabriele Bavota; Christopher Vendome; Mario Linares-Vásquez; Denys Poshyvanyk; Rocco Oliveto (IEEE Trans. Software Eng., 2021)

How do i model my system?: a qualitative study on the challenges that modelers experience. - Christopher Vendome; Eric J. Rapos; Nick DiGennaro (ICPC, 2022)

A Preliminary Study on Accessibility of Augmented Reality Features in Mobile Apps. - Sergio Naranjo-Puentes; Camilo Escobar-Velásquez; Christopher Vendome; Mario Linares-Vásquez (SANER, 2022)

Towards Reusable Building Blocks to Develop COVID-19 Simulation Models. - Shane A. Schroeder; Christopher Vendome; Philippe J. Giabbanelli; Alan M. Montfort (WSC, 2022)

Enabling Mutant Generation for Open- and Closed-Source Android Apps. - Camilo Escobar-Velásquez; Mario Linares-Vásquez; Gabriele Bavota; Michele Tufano; Kevin Moran; Massimiliano Di Penta; Christopher Vendome; Carlos Bernal-Cárdenas; Denys Poshyvanyk (IEEE Trans. Software Eng., 2022)

On Automatically Assessing Code Understandability. - Simone Scalabrino; Gabriele Bavota; Christopher Vendome; Mario Linares-Vásquez; Denys Poshyvanyk; Rocco Oliveto (IEEE DataPort, 2022)

A Comprehensive Evaluation Framework of Software Visualizations Effectiveness. - Hakam W. Alomari; Christopher Vendome; Lane Rizkallah (IEEE Trans. Vis. Comput. Graph., 2024)

A Slicing-Based Approach for Detecting and Patching Vulnerable Code Clones. - Hakam W. Alomari; Christopher Vendome; Himal Gyawali (ICPC, 2025)