Matúš Sulír

I am a researcher/lecturer at TU of Košice, where I got my PhD in 2018. From March to May 2024 I was a visiting researcher at the Software Engineering & Dependable Computing Lab at CNR-ISTI in Pisa.

My general research goal is to improve program comprehension efficiency.

Publications

For a more extensive list with citations, see my Google Scholar profile.

2024

• Teach Programming Using Task-Driven Case Studies: Pedagogical Approach, Guidelines, and Implementation
  Jaroslav Porubän, Milan Nosáľ, Matúš Sulír, Sergej Chodarev. Computers, 2024. PDF DOI

2023

• JaMaBuild: Mass Building of Java Projects
  Matúš Sulír, Milan Nosáľ. SPLASH 2023. PDF DOI
• Outside the Sandbox: A Study of Input/Output Methods in Java
  Matúš Sulír, Sergej Chodarev, Milan Nosáľ. EASE 2023. PDF DOI

2022

• Software Engineers' Questions and Answers on Stack Exchange
  Matúš Sulír, Marcel Regeci. Informatics 2022. PDF DOI
• Experimental Comparison of Editor Types for Domain-Specific Languages
  Sergej Chodarev, Matúš Sulír, Jaroslav Porubän, Martina Kopčáková. ApplSci, 2022. PDF DOI
• A Fine-Grained Data Set and Analysis of Tangling in Bug Fixing Commits
  Steffen Herbold, Alexander Trautsch, Benjamin Ledel, …, Matúš Sulír et al. EMSE, 2022. PDF DOI

2021

• Automating Test Case Identification in Java Open Source Projects on GitHub
  Matej Madeja, Jaroslav Porubän, Michaela Bačíková, Matúš Sulír, Ján Juhár, Sergej Chodarev, Filip Gurbáľ. CAI, 2021. PDF DOI
• Domain Usability Evaluation
  Michaela Bačíková, Jaroslav Porubän, Matúš Sulír, Sergej Chodarev, William Steingartner, Matej Madeja. Electronics, 2021. PDF DOI
• Empirical Study of Test Case and Test Framework Presence in Public Projects on GitHub
  Matej Madeja, Jaroslav Porubän, Sergej Chodarev, Matúš Sulír, Filip Gurbáľ. ApplSci, 2021. PDF DOI
• Natural Mapping between Voice Commands and APIs
  Matúš Sulír, Jaroslav Porubän. OCS, 2021. PDF DOI

2020

• Large-Scale Dataset of Local Java Software Build Results
  Matúš Sulír, Michaela Bačíková, Matej Madeja, Sergej Chodarev, Ján Juhár. Data, 2020. PDF DOI
• String Representations of Java Objects: An Empirical Study
  Matúš Sulír. SOFSEM 2020. PDF DOI

2019

• Designing Voice-Controllable APIs
  Matúš Sulír, Jaroslav Porubän. Informatics 2019. PDF DOI
• Toward a Benchmark Repository for Software Maintenance Tool Evaluations with Humans
  Matúš Sulír. SPLASH 2019. PDF DOI
• Draw This Object: A Study of Debugging Representations
  Matúš Sulír, Ján Juhár. PX/19. PDF DOI

2018

• Visual Augmentation of Source Code Editors: A Systematic Mapping Study
  Matúš Sulír, Michaela Bačíková, Sergej Chodarev, Jaroslav Porubän. JVLC, 2018. PDF DOI
• Integrating Runtime Values with Source Code to Facilitate Program Comprehension
  Matúš Sulír. ICSME 2018. PDF DOI
• Augmenting Source Code Lines with Sample Variable Values
  Matúš Sulír, Jaroslav Porubän. ICPC 2018. PDF DOI

2017

• Source Code Documentation Generation Using Program Execution
  Matúš Sulír, Jaroslav Porubän. Information, 2017. PDF DOI
• IDE-Independent Program Comprehension Tools via Source File Overwriting
  Matúš Sulír, Jaroslav Porubän, Ondrej Zoričák. Informatics 2017. PDF DOI
• RuntimeSearch: Ctrl+F for a Running Program
  Matúš Sulír, Jaroslav Porubän. ASE 2017. PDF DOI
• Labeling Source Code with Metadata: A Survey and Taxonomy
  Matúš Sulír, Jaroslav Porubän. FedCSIS 2017. PDF DOI
• Generating Method Documentation Using Concrete Values from Executions
  Matúš Sulír, Jaroslav Porubän. SLATE 2017. PDF DOI
• Customizing Host IDE for Non-programming Users of Pure Embedded DSLs: A Case Study
  Milan Nosáľ, Jaroslav Porubän, Matúš Sulír. COMLAN, 2017. PDF DOI
• Exposing Runtime Information through Source Code Annotations
  Matúš Sulír, Jaroslav Porubän. AEI, 2017. PDF

2016

• A Quantitative Study of Java Software Buildability
  Matúš Sulír, Jaroslav Porubän. PLATEAU@SPLASH 2016. PDF DOI
• Recording Concerns in Source Code Using Annotations
  Matúš Sulír, Milan Nosáľ, Jaroslav Porubän. COMLAN, 2016. PDF DOI
• Locating User Interface Concepts in Source Code
  Matúš Sulír, Jaroslav Porubän. SLATE 2016. PDF DOI

2015

• Semi-automatic Concern Annotation Using Differential Code Coverage
  Matúš Sulír, Jaroslav Porubän. Informatics 2015. PDF DOI
• Sharing Developers' Mental Models through Source Code Annotations
  Matúš Sulír, Milan Nosáľ. FedCSIS 2015. PDF DOI
• Trend Analysis on the Metadata of Program Comprehension Papers
  Matúš Sulír, Jaroslav Porubän. EMES 2015. PDF DOI
• Program Comprehension: A Short Literature Review
  Matúš Sulír. SCYR 2015. PDF

Service

• VISSOFT 2022 - Program Committee member
• ESEC/FSE 2021 - Artifact Track Committee member
• MSR 2021 - Shadow PC member
• SLE 2017 - Artifact Evaluation Committee member
• reviewing for Journal of Systems and Software, Empirical Software Engineering, Journal of Computer Languages, Journal of Visual Languages and Computing, Frontiers of Computer Science, Open Computer Science, etc.

Teaching

• Research Methods in Computer Science
• Evolution of Software Systems
• Foundations of Software Engineering
• Formal Languages
• Metaprogramming