Test smell detection tools: A systematic mapping study

W Aljedaani, A Peruma, A Aljohani, M Alotaibi… - Proceedings of the 25th …, 2021 - dl.acm.org
Test smells are defined as sub-optimal design choices developers make when
implementing test cases. Hence, similar to code smells, the research community has …

What is the vocabulary of flaky tests?

G Pinto, B Miranda, S Dissanayake… - Proceedings of the 17th …, 2020 - dl.acm.org
Flaky tests are tests whose outcomes are non-deterministic. Despite the recent research
activity on this topic, no effort has been made on understanding the vocabulary of flaky tests …

An empirical study of flaky tests in python

M Gruber, S Lukasczyk, F Kroiß… - 2021 14th IEEE …, 2021 - ieeexplore.ieee.org
Tests that cause spurious failures without any code changes, ie, flaky tests, hamper
regression testing, increase maintenance costs, may shadow real bugs, and decrease trust …

Nnsmith: Generating diverse and valid test cases for deep learning compilers

J Liu, J Lin, F Ruffy, C Tan, J Li, A Panda… - Proceedings of the 28th …, 2023 - dl.acm.org
Deep-learning (DL) compilers such as TVM and TensorRT are increasingly being used to
optimize deep neural network (DNN) models to meet performance, resource utilization and …

iFixFlakies: A framework for automatically fixing order-dependent flaky tests

A Shi, W Lam, R Oei, T Xie, D Marinov - … of the 2019 27th ACM Joint …, 2019 - dl.acm.org
Regression testing provides important pass or fail signals that developers use to make
decisions after code changes. However, flaky tests, which pass or fail even when the code …

An empirical study on real bug fixes

H Zhong, Z Su - 2015 IEEE/ACM 37th IEEE International …, 2015 - ieeexplore.ieee.org
Software bugs can cause significant financial loss and even the loss of human lives. To
reduce such loss, developers devote substantial efforts to fixing bugs, which generally …

Continuous, evolutionary and large-scale: A new perspective for automated mobile app testing

M Linares-Vásquez, K Moran… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Mobile app development involves a unique set of challenges including device fragmentation
and rapidly evolving platforms, making testing a difficult task. The design space for a …

Flakify: A black-box, language model-based predictor for flaky tests

S Fatima, TA Ghaleb, L Briand - IEEE Transactions on Software …, 2022 - ieeexplore.ieee.org
Software testing assures that code changes do not adversely affect existing functionality.
However, a test case can be flaky, ie, passing and failing across executions, even for the …

Assessing and restoring reproducibility of Jupyter notebooks

J Wang, T Kuo, L Li, A Zeller - Proceedings of the 35th IEEE/ACM …, 2020 - dl.acm.org
Jupyter notebooks---documents that contain live code, equations, visualizations, and
narrative text---now are among the most popular means to compute, present, discuss and …

Not all bugs are the same: Understanding, characterizing, and classifying bug types

G Catolino, F Palomba, A Zaidman… - Journal of Systems and …, 2019 - Elsevier
Modern version control systems, eg, GitHub, include bug tracking mechanisms that
developers can use to highlight the presence of bugs. This is done by means of bug reports …