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MOBILESoft 2021
Mon 17 - Wed 19 May 2021
co-located with ICSE 2021
Maurício Aniche

Registered user since Tue 29 May 2018

Name:Maurício Aniche
Bio:

I help developers to effectively maintain and evolve their software systems. My current research interests are software maintenance (evolution, refactoring, comprehension), software testing, and software monitoring and log analysis.

Background. I got my PhD (2016) and MSc (2012) degrees in Computer Science at University of São Paulo (USP), Brazil. Before moving to academia, I worked as a software developer at Caelum (5 years), Locaweb (1 year), and VeriFone (3 years). Together with Caelum, I co-founded Alura, the most popular e-learning platform for software engineers in Brazil.

Education. I teach Software Testing and Quality (CS1110, CS bachelor), Software Analytics and Machine Learning for Software Engineering (IN3443, CS MSc), and Software Refactoring (CS4300, CS MSc). I supervise MSc students on software engineering topics.

Book author. I have authored technical books on test-driven development (the first book on the topic in Brazilian Portuguese), software testing automation, pragmatic object-oriented design, and introduction to C programming.

Country:Netherlands
Affiliation:Delft University of Technology
Research interests:Software maintenance, testing, and evolution

Contributions

ICSE 2021 Automatically Identifying Parameter Constraints in Complex Web APIs: A Case Study at Adyen
Search-Based Software Re-Modularization: A Case Study at Adyen
The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring
Committee Member in Program Committee within the Technical Track-track
Grading 600+ students: A Case Study on Peer and Self Grading
DeepTest 2021 Committee Member in Program Committee within the deeptest2021-track
WAIN'21 The Prevalence of Code Smells in Machine Learning projects
ICPC 2021 Atoms of Confusion in Java
Interactive Static Performance Analysis in the IDE
MOBILESoft 2021 Logging Practices with Mobile Analytics: An Empirical Study on Firebase
MSR 2021 An Exploratory Study of Log Placement Recommendation in an Enterprise System
Learning Off-By-One Mistakes: An Empirical Study
Committee Member in Program Committee within the Technical Papers-track
PyDriller 1.0 -- Ready to grow together
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