Write a Blog >>
Tue 11 Oct 2022 15:30 - 16:00 at Ballroom A - Poster Session

The AAA pattern, i.e. the Arrangement, Action, and Assertion, is a common and nature layout to create a test case. Following this pattern in test cases may benefit comprehension, debugging, and maintenance. The AAA structure of real-life test cases may not be explicit due to its high complexity. Manually labeling AAA statements in test cases is tedious. Thus, an automated approach for labeling AAA statements in existing test cases could benefit new developers and projects that practice collective code ownership and test driven development.

This study contributes an automatic approach based on machine learning models. The ``secret sauce" of this approach is a set of three learning features that are based on the semantic, syntax, and context information in test cases, derived from the manual tagging process. Thus, our approach mimics how developers may manually tag the AAA pattern of a test case. We assess the precision, recall, and F-1 score of our approach based on 449 test cases, containing about 16,612 statements, across 4 Apache open source projects. For achieving the best performance in our approach, we explore the usage of six machine learning models; the contribution of the SMOTE data balancing technique; the comparison of the three learning features; and the comparison of five different methods for calculating the semantic feature. The results show our approach is able to identify Arrangement, Action, and Assertion statements with a precision upwards of 92%, and recall up to 74%. Our experiments also provide empirical insights regarding how to best leverage machine learning for software engineering tasks.

Tue 11 Oct

Displayed time zone: Eastern Time (US & Canada) change

15:30 - 16:00
15:30
30m
Poster
ASTOR: An Approach to Identify Security Code Reviews
Student Research Competition
Rajshakhar Paul Wayne State University
15:30
30m
Poster
‘Who built this crap?’ Developing a Software Engineering Domain Specific Toxicity Detector
Student Research Competition
Jaydeb Sarker Department of Computer Science, Wayne State University
Pre-print
15:30
30m
Poster
Automatically Fixing Breaking Changes of Data Science Libraries
Student Research Competition
Hailie Mitchell Carnegie Mellon University
15:30
30m
Poster
Execution Path Detection through Dynamic Analysis in Black-Box Testing Environments
Student Research Competition
Frank Whitworth Wake Forest University
15:30
30m
Poster
Automatic Software Timing Attack Evaluation & Mitigation on Clear Hardware Assumption
Student Research Competition
Prabuddha Chakraborty University of Florida
15:30
30m
Poster
Automatically Tagging the “AAA" Pattern in Unit Test Cases Using Machine Learning Models
Student Research Competition
Chenhao Wei Stevens Institute of Technology, Lu Xiao Stevens Institute of Technology, Tingting Yu University of Cincinnati, Xinyu Chen HSBC Software Development (Guangdong) Limited, Xiao Wang Stevens Institute of Technology, Sunny Wong Envestnet, Abigail Clune AGI
15:30
30m
Poster
A Unified Specification Mining Framework for Smart Contracts
Student Research Competition
Ye Liu Nanyang Technological University
15:30
30m
Poster
Identifying Sexism and Misogyny in Pull Request Comments
Student Research Competition
Sayma Sultana Wayne State University
15:30
30m
Poster
Detecting Inconsistencies in If-Condition-Raise Statements
Student Research Competition
Islem BOUZENIA Software Lab, University of Stuttgart
15:30
30m
Poster
Software Evolution Management with Differential Facts
Student Research Competition
Xiuheng Wu Nanyang Technological University, Singapore
15:30
30m
Poster
RESTCluster: Automated Crash Clustering for RESTful API
Student Research Competition
YI LIU Nanyang Technological University