Felienne Hermans
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Dutch engineer and academic
Felienne Hermans's AcademicInfluence.com Rankings
Felienne Hermanscomputer-science Degrees
Computer Science
#3650
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#3835
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Software Engineering
#191
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#193
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Database
#9303
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#9793
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Computer Science
Felienne Hermans's Degrees
- PhD Computer Science Delft University of Technology
- Masters Computer Science Delft University of Technology
- Bachelors Computer Science Delft University of Technology
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Why Is Felienne Hermans Influential?
(Suggest an Edit or Addition)According to Wikipedia, Felienne Hermans, Felienne , is a scientist working at Vrije Universiteit Amsterdam as a full professor. Her research interests include programming education and spreadsheets. Academic career Hermans received her MSc in computer science from Eindhoven University of Technology, and her PhD in software engineering in 2013 from Delft University of Technology. Following that she was an assistant professor at Delft University of Technology, heading the Spreadsheet Lab.
Felienne Hermans's Published Works
Published Works
- How Kids Code and How We Know: An Exploratory Study on the Scratch Repository (2016) (132)
- Detecting and visualizing inter-worksheet smells in spreadsheets (2011) (115)
- Supporting professional spreadsheet users by generating leveled dataflow diagrams (2010) (112)
- Detecting code smells in spreadsheet formulas (2011) (105)
- Domain-Specific Languages in Practice: A User Study on the Success Factors (2009) (100)
- Automatically Extracting Class Diagrams from Spreadsheets (2010) (94)
- Enron's Spreadsheets and Related Emails: A Dataset and Analysis (2014) (90)
- To Scratch or not to Scratch?: A controlled experiment comparing plugged first and unplugged first programming lessons (2017) (77)
- Detecting and refactoring code smells in spreadsheet formulas (2013) (73)
- Do code smells hamper novice programming? A controlled experiment on Scratch programs (2016) (70)
- Data clone detection and visualization in spreadsheets (2013) (61)
- Programming Misconceptions for School Students (2018) (50)
- Analyzing and Visualizing Spreadsheets (2013) (40)
- Ten simple rules for getting started on Twitter as a scientist (2020) (40)
- Teaching Software Engineering Principles to K-12 Students: A MOOC on Scratch (2017) (39)
- Software clones in scratch projects: on the presence of copy-and-paste in computational thinking learning (2017) (39)
- Smells in block-based programming languages (2016) (33)
- BumbleBee: a refactoring environment for spreadsheet formulas (2014) (30)
- A Dataset of Scratch Programs: Scraped, Shaped and Scored (2017) (29)
- Pragmatic Software Testing Education (2019) (27)
- Improving spreadsheet test practices (2013) (26)
- Spreadsheets are Code: An Overview of Software Engineering Approaches Applied to Spreadsheets (2016) (26)
- Code smells in spreadsheet formulas revisited on an industrial dataset (2015) (23)
- Notional Machines in Computing Education: The Education of Attention (2020) (23)
- A Usability Analysis of Blocks-based Programming Editors using Cognitive Dimensions (2018) (22)
- How do Scratch Programmers Name Variables and Procedures? (2017) (21)
- Measuring Spreadsheet Formula Understandability (2012) (20)
- Hedy: A Gradual Language for Programming Education (2020) (19)
- Early Programming Education and Career Orientation: The Effects of Gender, Self-Efficacy, Motivation and Stereotypes (2019) (19)
- Breviz: Visualizing Spreadsheets using Dataflow Diagrams (2011) (17)
- Programming is Writing is Programming (2017) (13)
- Professional Competencies in Computing Education: Pedagogies and Assessment (2021) (12)
- The Effect of Reading Code Aloud on Comprehension: An Empirical Study with School Students (2019) (12)
- Do Code Smells Hamper Novice Programming (2016) (10)
- Code Phonology: An Exploration into the Vocalization of Code (2018) (10)
- A grammar for spreadsheet formulas evaluated on two large datasets (2015) (10)
- How is programming taught in code clubs? Exploring the experiences and gender perceptions of code club teachers (2019) (9)
- The significance of bug report elements (2020) (9)
- Gradual structuring in the spreadsheet paradigm (2016) (8)
- Capturing and Characterising Notional Machines (2020) (8)
- Thinking out of the box: comparing metaphors for variables in programming education (2018) (7)
- Dependence tracing techniques for spreadsheets: An investigation (2014) (7)
- Detecting problematic lookup functions in spreadsheets (2015) (7)
- Copy-Paste Tracking: Fixing Spreadsheets Without Breaking Them (2015) (7)
- No half-measures: A study of manual and tool-assisted end-user programming tasks in Excel (2018) (6)
- Leaders of Tomorrow on the Future of Software Engineering: A Roundtable (2016) (6)
- Improving the Performance of a Large Scale Spreadsheet: A Case Study (2016) (6)
- Parsing Excel formulas: A grammar and its application on 4 large datasets (2017) (6)
- Tutors' Experiences in Using Explicit Strategies in a Problem-Based Learning Introductory Programming Course (2021) (5)
- Explicit Direct Instruction in Programming Education (2018) (5)
- Exact and Near-miss Clone Detection in Spreadsheets (2012) (4)
- Programming Education to Preschoolers: Reflections and Observations from a Field Study (2017) (4)
- Spreadsheet Use and Programming Experience: An Exploratory Survey (2020) (4)
- XLBlocks: a Block-based Formula Editor for Spreadsheet Formulas (2019) (4)
- Towards blocks-based prototyping of web applications (2017) (3)
- Using a visual language to create better spreadsheets (2014) (3)
- Semi-automatic Extraction of Cross-Table Data from a Set of Spreadsheets (2017) (3)
- Gradual Programming in Hedy: A First User Study (2021) (3)
- Gradual structuring: Evolving the spreadsheet paradigm for expressiveness and learnability (2016) (3)
- Investigating the Pedagogical Content Knowledge of Teachers Attending a MOOC on Scratch Programming (2018) (3)
- Spreadsheet testing in practice (2017) (3)
- Teachers’ Views and Experiences on Teaching Second and Subsequent Programming Languages (2021) (3)
- Computerized adaptive assessment of understanding of programming concepts in primary school children (2021) (3)
- Gathering domain knowledge from spreadsheets (2009) (2)
- TrueGrid: Code the Table, Tabulate the Data (2016) (2)
- Breviz : Spreadsheet Visualization and Quality Analysis (2011) (2)
- Exploring Teachers’ PCK for Computational Thinking in Context (2021) (2)
- To Be or Not to Be a Teacher? Exploring CS Students’ Perceptions of a Teaching Career (2020) (2)
- Toward Practical Computing Competencies (2021) (2)
- Children’s Implicit and Explicit Stereotypes on the Gender, Social Skills, and Interests of a Computer Scientist (2021) (2)
- Detecting and Predicting Evolution in Spreadsheets - A Case Study in an Energy Network Company (2018) (1)
- The Effect of a Block-based Language on Formula Comprehension in Spreadsheets (2021) (1)
- Code as Art - Art as Code: On the Use of Poetry and Paintings in Programming Education (2017) (1)
- 2nd International Workshop on Software Engineering Methods in Spreadsheets (SEMS 2015) (2015) (1)
- Design of CoTAS: Automated Computational Thinking Assessment System (2019) (1)
- Auditing spreadsheets: With or without a tool? (2016) (1)
- The Effect of Delocalized Plans on Spreadsheet Comprehension: A Controlled Experiment (2017) (1)
- Evaluating Automatic Spreadsheet Metadata Extraction on a Large Set of Responses from MOOC Participants (2016) (1)
- An exploration into the vocalization of code (2018) (0)
- The use of Charts, Pivot Tables, and Array Formulas in two Popular Spreadsheet Corpora (2018) (0)
- A Framework for the Localization of Programming Languages (2023) (0)
- Naming Guidelines for Professional Programmers (2017) (0)
- Design, implementation and evaluation of the Hedy programming language (2022) (0)
- Conference for Chairs (1999) (0)
- A Maintainability Checklist for Spreadsheets (2014) (0)
- On the Effectiveness of Automatically Inferred Invariants in Detecting Regression Faults in Spreadsheets (2018) (0)
- Anonymizing spreadsheet data and metadata with anonymousXL (2014) (0)
- Supporting Spreadsheet Maintenance with Dependency Notification (2017) (0)
- Thinking out of the Box (2018) (0)
- Microteaching: Ad-Hoc Networks, Binary Heaps, Variables in Hedy, Loops, Lists, and Data Storage (2022) (0)
- Handling of abstraction by children using Hedy (2022) (0)
- Giga is terug (2016) (0)
- Perceived Relevance of Automatic Code Inspection in End-User Development: A Study on VBA (2019) (0)
- Peter Hilton on Naming (2017) (0)
- What does this Python code do? An exploratory analysis of novice students’ code explanations (2021) (0)
- The Perception of Teachers on Usability and Accessibility of Programming Materials for Children with Visual Impairments (2022) (0)
- Proving SN 1 automatically (2008) (0)
- Can Math Be a Bottleneck? Exploring the Mathematics Perceptions of Computer Science Students (2022) (0)
- [VL/HCC 2020 Title Page] (2020) (0)
- Congenital uterine anomaly. (1993) (0)
- Detecting and Predicting Evolution in Spreadsheets (2018) (0)
- (How) Should Variables and Their Naming Be Taught in Novice Programming Education? (2022) (0)
- An Analysis of Tutors’ Adoption of Explicit Instructional Strategies in an Introductory Programming Course (2022) (0)
- Grading 600+ Students: A Case Study on Peer and Self Grading (2021) (0)
- Appreciation to Empirical Software Engineering Reviewers of 2017 (2018) (0)
- ICSME 2014 Industry Program Track Program Committee (2014) (0)
- An Integration of Computational Thinking and Language Arts: The Contribution of Digital Storytelling to Students’ Learning (2022) (0)
- Teaching Quality in Programming Education:: the Effect of Teachers’ Background Characteristics and Self-efficacy (2022) (0)
- Gradual Grammars: Syntax in Levels and Locales (2022) (0)
- Business Rule Mining from Spreadsheets (2015) (0)
- Series Data Clone Detection and Visualization in Spreadsheets (2013) (0)
- Computational Thinking through Design Patterns in Video Games (2020) (0)
- Different instruction methods for learning programming concepts in Scratch Testing the retention of programming misconceptions among primary school children (2020) (0)
- Detecting and refactoring code smells in spreadsheet formulas (2014) (0)
- Two Things Every Java Developer Should Know (2021) (0)
- Coda Lisa: Collaborative Art in the Browser (2015) (0)
- Who participates in computer science education studies? A literature review on K-12 subjects (2021) (0)
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