Nischal Shrestha

College of Engineering

2023 article

Detangler: Helping Data Scientists Explore, Understand, and Debug Data Wrangling Pipelines

2023 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING, VL/HCC, pp. 189–198.

By: N. Shrestha n, B. Chopra*, A. Henley* & C. Parnin*

author keywords: data science; data wrangling; programming
TL;DR: The design of Detangler is informed via formative interviews, and it presents data scientists with insights into potential data quality issues and always-on visual summaries of the effects of individual data transformations, enabling interactive exploration of data and wrangling code. (via Semantic Scholar)
Source: Web Of Science
Added: January 29, 2024

2020 article

Here We Go Again: Why Is It Difficult for Developers to Learn Another Programming Language?

2020 ACM/IEEE 42ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2020), pp. 691–701.

By: N. Shrestha n, C. Botta n, T. Barik* & C. Parnin n

author keywords: interference theory; learning; program comprehension; programming environments; programming languages
TL;DR: An empirical study of Stack Overflow questions across 18 different programming languages hypothesized that previous knowledge could potentially interfere with learning a new programming language, and revealed that programmers make failed attempts to relate a new programming language with what they already know. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: June 21, 2021

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