skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


Title: A qualitative study of cleaning in Jupyter notebooks
Data scientists commonly use computational notebooks because they provide a good environment for testing multiple models. However, once the scientist completes the code and finds the ideal model, the data scientist will have to dedicate time to clean up the code in order for others to understand it. In this paper, we perform a qualitative study on how scientists clean their code in hopes of being able to suggest a tool to automate this process. Our end goal is for tool builders to address possible gaps and provide additional aid to data scientists, who can then focus more on their actual work rather than the routine and tedious cleaning duties.  more » « less
Award ID(s):
1813598
PAR ID:
10302343
Author(s) / Creator(s):
 
Date Published:
Journal Name:
ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Page Range / eLocation ID:
1663 to 1665
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. ; ; (, 2022 IEEE International Conference on Software Maintenance and Evolution (ICSME))
    Data analysis is an exploratory, interactive, and often collaborative process. Computational notebooks have become a popular tool to support this process, among others because of their ability to interleave code, narrative text, and results. However, notebooks in practice are often criticized as hard to maintain and being of low code quality, including problems such as unused or duplicated code and out-of-order code execution. Data scientists can benefit from better tool support when maintaining and evolving notebooks. We argue that central to such tool support is identifying the structure of notebooks. We present a lightweight and accurate approach to extract notebook structure and outline several ways such structure can be used to improve maintenance tooling for notebooks, including navigation and finding alternatives. 
    more » « less
  2. ; ; (, CourseSource)
    The demographic representation of scientists featured in biology curricular materials do not match that of the undergraduate biology student population or of the U.S. population. In this lesson, we promote awareness of inequity in science through an exercise that encourages students to think about who is depicted as scientists in science curricular materials – specifically, biology textbooks. After a brief lecture on the scientific method, students read an excerpt from the introduction of a peer-reviewed publication that provides background information on the importance of representation in science. Next, students collect data from their own biology textbook about the representation of scientists who possess different identities and make a table depicting their results. Then, students fill in predictive graphs about demographic representation over time with respect to scientist identities including gender and race/ethnicity. Students compare their predictions with the results from the peer-reviewed article and discuss the implications of the results. Finally, students apply their new knowledge by designing an experiment that would examine representation of an alternative scientist identity, such as age. Students conclude by answering questions that gauge their knowledge of the scientific method. This activity uses a peer-reviewed publication as well as authentic data generated by the student to increase ideological awareness and teach societal influences on the process of science. 
    more » « less
  3. ; ; ; ; ; ; (, Frontiers in education)
    This Innovative Practice Work in Progress presents a plugin tool named DroidPatrol. It can be integrated with the Android Studio to perform tainted data flow analysis of mobile applications. Most vulnerabilities should be addressed and fixed during the development phase. Computer users, managers, and developers agree that we need software and systems that are “more secure”. Such efforts require support from both the educational institutions and learning communities to improve software assurance, particularly in writing secure code. Many open source static analysis tools help developers to maintain and clean up the code. However, they are not able to find potential security bugs. Our work is aimed to checking of security issues within Android applications during implementation. We provide an example hands-on lab based on DroidPatrol prototype and share the initial evaluation feedback from a classroom. The initial results show that the plugin based hands-on lab generates interests among learners and has the promise of acting as an intervention tool for secure software development. 
    more » « less
  4. ; ; ; ; ; ; (, IEEE Frontiers in Education Conference)
    This Innovative Practice Work in Progress presents a plugin tool named DroidPatrol. It can be integrated with the Android Studio to perform tainted data flow analysis of mobile applications. Most vulnerabilities should be addressed and fixed during the development phase. Computer users, managers, and developers agree that we need software and systems that are “more secure”. Such efforts require support from both the educational institutions and learning communities to improve software assurance, particularly in writing secure code. Many open source static analysis tools help developers to maintain and clean up the code. However, they are not able to find potential security bugs. Our work is aimed to checking of security issues within Android applications during implementation. We provide an example hands-on lab based on DroidPatrol prototype and share the initial evaluation feedback from a classroom. The initial results show that the plugin based hands-on lab generates interests among learners and has the promise of acting as an intervention tool for secure software development. 
    more » « less
  5. ; ; ; ; ; ; (, Proceeding of IEEE Frontiers in Education (FIE) Conference)
    This Innovative Practice Work in Progress presents a plugin tool named DroidPatrol. It can be integrated with the Android Studio to perform tainted data flow analysis of mobile applications. Most vulnerabilities should be addressed and fixed during the development phase. Computer users, managers, and developers agree that we need software and systems that are “more secure”. Such efforts require support from both the educational institutions and learning communities to improve software assurance, particularly in writing secure code. Many open source static analysis tools help developers to maintain and clean up the code. However, they are not able to find potential security bugs. Our work is aimed to checking of security issues within Android applications during implementation. We provide an example hands-on lab based on DroidPatrol prototype and share the initial evaluation feedback from a classroom. The initial results show that the plugin based hands-on lab generates interests among learners and has the promise of acting as an intervention tool for secure software development. 
    more » « less
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email