Maurício Aniche

According to our database1, Maurício Aniche authored at least 11 papers between 2021 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
TestKnight: An Interactive Assistant to Stimulate Test Engineering.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

2021
Data-driven extract method recommendations: a study at ING.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Learning Off-By-One Mistakes: An Empirical Study.
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

An Exploratory Study of Log Placement Recommendation in an Enterprise System.
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Logging Practices with Mobile Analytics: An Empirical Study on Firebase.
Proceedings of the 8th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2021

Atoms of Confusion in Java.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

Interactive Static Software Performance Analysis in the IDE.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

Search-Based Software Re-Modularization: A Case Study at Adyen.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2021

Automatically Identifying Parameter Constraints in Complex Web APIs: A Case Study at Adyen.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2021

Grading 600+ Students: A Case Study on Peer and Self Grading.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2021

The Prevalence of Code Smells in Machine Learning projects.
Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, 2021


  Loading...