Maurício Aniche - MOBILESoft 2021

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

Personal website:http://www.mauricioaniche.com

Twitter:https://twitter.com/mauricioaniche

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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