activity
20202022
most citedUsing Relative Lines of Code to Guide Automated Test Generation for Python

15 citations · 34 across the 7 of their papers we have counts for

collaborators

8 papers

cs.SE20222 cited

Let's Go to the Whiteboard (Again):Perceptions from Software Architects on Whiteboard Architecture Meetings

Eduardo Santana de Almeida, Iftekhar Ahmed, Andre van der Hoek

The whiteboard plays a crucial role in the day-to-day lives of software architects, as they frequently will organize meetings at the whiteboard to discuss a new architecture, some…

cs.SE2022

Bug Analysis in Jupyter Notebook Projects: An Empirical Study

Taijara Loiola de Santana, Paulo Anselmo da Mota Silveira Neto, Eduardo Santana de Almeida +1

Computational notebooks, such as Jupyter, have been widely adopted by data scientists to write code for analyzing and visualizing data. Despite their growing adoption and popularit…

cs.SE202212 cited

Code Smells in Machine Learning Systems

Jiri Gesi, Siqi Liu, Jiawei Li +6

As Deep learning (DL) systems continuously evolve and grow, assuring their quality becomes an important yet challenging task. Compared to non-DL systems, DL systems have more compl…

cs.SE20213 cited

PyNose: A Test Smell Detector For Python

Tongjie Wang, Yaroslav Golubev, Oleg Smirnov +3

Similarly to production code, code smells also occur in test code, where they are called test smells. Test smells have a detrimental effect not only on test code but also on the pr…

cs.SE2021

Changes from the Trenches: Should We Automate Them?

Yaroslav Golubev, Jiawei Li, Viacheslav Bushev +2

Code changes constitute one of the most important features of software evolution. Studying them can provide insights into the nature of software development and also lead to practi…

cs.SE202115 cited

Using Relative Lines of Code to Guide Automated Test Generation for Python

Josie Holmes, Iftekhar Ahmed, Caius Brindescu +3

Raw lines of code (LOC) is a metric that does not, at first glance, seem extremely useful for automated test generation. It is both highly language-dependent and not extremely mean…